ai can update more fields
This commit is contained in:
DaKheera47
parent
f0b4d278ae
commit
e954cba4b1
@ -133,6 +133,8 @@ const migrations = [
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`ALTER TABLE jobs ADD COLUMN vacancy_count INTEGER`,
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`ALTER TABLE jobs ADD COLUMN work_from_home_type TEXT`,
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`ALTER TABLE jobs ADD COLUMN selected_project_ids TEXT`,
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`ALTER TABLE jobs ADD COLUMN tailored_headline TEXT`,
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`ALTER TABLE jobs ADD COLUMN tailored_skills TEXT`,
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`CREATE INDEX IF NOT EXISTS idx_jobs_status ON jobs(status)`,
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`CREATE INDEX IF NOT EXISTS idx_jobs_discovered_at ON jobs(discovered_at)`,
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@ -59,6 +59,8 @@ export const jobs = sqliteTable('jobs', {
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suitabilityScore: real('suitability_score'),
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suitabilityReason: text('suitability_reason'),
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tailoredSummary: text('tailored_summary'),
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tailoredHeadline: text('tailored_headline'),
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tailoredSkills: text('tailored_skills'),
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selectedProjectIds: text('selected_project_ids'),
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pdfPath: text('pdf_path'),
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notionPageId: text('notion_page_id'),
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@ -14,7 +14,7 @@ import { runCrawler } from '../services/crawler.js';
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import { runJobSpy } from '../services/jobspy.js';
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import { runUkVisaJobs } from '../services/ukvisajobs.js';
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import { scoreJobSuitability } from '../services/scorer.js';
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import { generateSummary } from '../services/summary.js';
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import { generateTailoring } from '../services/summary.js';
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import { generatePdf } from '../services/pdf.js';
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import { getSetting } from '../repositories/settings.js';
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import { pickProjectIdsForJob } from '../services/projectSelection.js';
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@ -391,13 +391,18 @@ export async function summarizeJob(
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const profile = await loadProfile(DEFAULT_PROFILE_PATH);
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// 1. Generate Summary
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// 1. Generate Summary & Tailoring
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let tailoredSummary = job.tailoredSummary;
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if (!tailoredSummary || options?.force) {
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console.log(' Generating summary...');
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const summaryResult = await generateSummary(job.jobDescription || '', profile);
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if (summaryResult.success) {
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tailoredSummary = summaryResult.summary ?? null;
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let tailoredHeadline = job.tailoredHeadline;
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let tailoredSkills = job.tailoredSkills;
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if (!tailoredSummary || !tailoredHeadline || options?.force) {
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console.log(' Generating tailoring (summary, headline, skills)...');
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const tailoringResult = await generateTailoring(job.jobDescription || '', profile);
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if (tailoringResult.success && tailoringResult.data) {
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tailoredSummary = tailoringResult.data.summary;
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tailoredHeadline = tailoringResult.data.headline;
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tailoredSkills = JSON.stringify(tailoringResult.data.skills);
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}
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}
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@ -429,6 +434,8 @@ export async function summarizeJob(
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await jobsRepo.updateJob(job.id, {
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tailoredSummary: tailoredSummary ?? undefined,
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tailoredHeadline: tailoredHeadline ?? undefined,
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tailoredSkills: tailoredSkills ?? undefined,
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selectedProjectIds: selectedProjectIds ?? undefined,
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});
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@ -459,7 +466,11 @@ export async function generateFinalPdf(
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const pdfResult = await generatePdf(
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job.id,
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job.tailoredSummary || '',
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{
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summary: job.tailoredSummary || '',
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headline: job.tailoredHeadline || '',
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skills: job.tailoredSkills ? JSON.parse(job.tailoredSkills) : []
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},
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job.jobDescription || '',
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DEFAULT_PROFILE_PATH,
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job.selectedProjectIds
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@ -27,18 +27,24 @@ export interface PdfResult {
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error?: string;
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}
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export interface TailoredPdfContent {
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summary?: string | null;
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headline?: string | null;
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skills?: any | null; // Accept any for flexibility, expected to be items array or parsed JSON
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}
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/**
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* Generate a tailored PDF resume for a job.
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*
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* @param jobId - Unique job identifier (used for filename)
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* @param tailoredSummary - The AI-generated summary to inject
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* @param jobDescription - Job description text for project selection
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* @param baseResumePath - Path to the base resume JSON (optional)
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* @param selectedProjectIds - Comma-separated list of selected project IDs (optional manual override)
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* @param jobId - Unique job identifier
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* @param tailoredContent - Content to inject (summary, headline, skills)
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* @param jobDescription - Job description (for project selection)
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* @param baseResumePath - Optional path to base JSON
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* @param selectedProjectIds - Optional overrides
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*/
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export async function generatePdf(
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jobId: string,
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tailoredSummary: string,
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tailoredContent: TailoredPdfContent,
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jobDescription: string,
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baseResumePath?: string,
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selectedProjectIds?: string | null
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@ -57,10 +63,34 @@ export async function generatePdf(
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const baseResume = JSON.parse(await readFile(resumeJsonPath, 'utf-8'));
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// Inject tailored summary
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if (baseResume.sections?.summary) {
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baseResume.sections.summary.content = tailoredSummary;
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} else if (baseResume.basics?.summary) {
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baseResume.basics.summary = tailoredSummary;
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if (tailoredContent.summary) {
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if (baseResume.sections?.summary) {
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baseResume.sections.summary.content = tailoredContent.summary;
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} else if (baseResume.basics?.summary) {
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baseResume.basics.summary = tailoredContent.summary;
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}
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}
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// Inject tailored headline
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if (tailoredContent.headline) {
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if (baseResume.basics) {
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// Support both standard JSON Resume 'label' and RxResume 'headline'
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baseResume.basics.headline = tailoredContent.headline;
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baseResume.basics.label = tailoredContent.headline;
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}
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}
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// Inject tailored skills
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if (tailoredContent.skills) {
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const newSkills = Array.isArray(tailoredContent.skills)
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? tailoredContent.skills
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: typeof tailoredContent.skills === 'string'
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? JSON.parse(tailoredContent.skills)
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: null;
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if (newSkills && baseResume.sections?.skills) {
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baseResume.sections.skills.items = newSkills;
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}
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}
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// Select projects (manual override OR locked + AI-picked) and set visibility for RXResume
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@ -1,43 +1,37 @@
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/**
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* Service for generating tailored resume summaries.
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* Wraps the existing Python generate_summary.py script.
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* Service for generating tailored resume content (Summary, Headline, Skills).
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*/
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import { spawn } from 'child_process';
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import { join, dirname } from 'path';
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import { fileURLToPath } from 'url';
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import { writeFile, unlink } from 'fs/promises';
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import { randomUUID } from 'crypto';
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const __dirname = dirname(fileURLToPath(import.meta.url));
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const RESUME_GEN_DIR = join(__dirname, '../../../../resume-generator');
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const OPENROUTER_API_URL = 'https://openrouter.ai/api/v1/chat/completions';
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export interface SummaryResult {
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export interface TailoredData {
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summary: string;
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headline: string;
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skills: any[];
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}
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export interface TailoringResult {
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success: boolean;
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summary?: string;
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data?: TailoredData;
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error?: string;
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}
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/**
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* Generate a tailored resume summary for a job.
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* Uses the native implementation instead of calling Python.
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* Generate tailored resume content (summary, headline, skills) for a job.
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*/
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export async function generateSummary(
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export async function generateTailoring(
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jobDescription: string,
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profile: Record<string, unknown>
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): Promise<SummaryResult> {
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): Promise<TailoringResult> {
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const apiKey = process.env.OPENROUTER_API_KEY;
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if (!apiKey) {
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console.warn('⚠️ OPENROUTER_API_KEY not set, cannot generate summary');
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console.warn('⚠️ OPENROUTER_API_KEY not set, cannot generate tailoring');
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return { success: false, error: 'API key not configured' };
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}
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const model = process.env.MODEL || 'openai/gpt-4o-mini';
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const prompt = buildSummaryPrompt(profile, jobDescription);
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const prompt = buildTailoringPrompt(profile, jobDescription);
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try {
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const response = await fetch(OPENROUTER_API_URL, {
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@ -51,6 +45,7 @@ export async function generateSummary(
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body: JSON.stringify({
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model,
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messages: [{ role: 'user', content: prompt }],
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response_format: { type: 'json_object' },
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}),
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});
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@ -59,104 +54,110 @@ export async function generateSummary(
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}
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const data = await response.json();
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const summary = data.choices[0]?.message?.content;
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const content = data.choices[0]?.message?.content;
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if (!summary) {
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if (!content) {
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throw new Error('No content in response');
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}
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return { success: true, summary: sanitizeTailoredSummary(summary) };
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const parsed = JSON.parse(content);
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// Basic validation
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if (!parsed.summary || !parsed.headline || !Array.isArray(parsed.skills)) {
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console.warn('⚠️ AI response missing required fields:', parsed);
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}
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return {
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success: true,
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data: {
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summary: sanitizeText(parsed.summary || ''),
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headline: sanitizeText(parsed.headline || ''),
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skills: parsed.skills || []
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}
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};
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} catch (error) {
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const message = error instanceof Error ? error.message : 'Unknown error';
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return { success: false, error: message };
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}
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}
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function buildSummaryPrompt(profile: Record<string, unknown>, jd: string): string {
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return `
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You are generating a tailored résumé summary for me.
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Requirements:
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- Use keywords found in the job description.
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- Keep it concise but meaningful. Avoid fluff. Avoid long-winded text.
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- Include just enough detail to feel real and grounded.
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- Gently convey that I care about helping people and doing good work.
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- Do NOT invent experience or skills I don't have.
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- Maintain a warm, confident, human tone.
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- Target THIS specific job directly, so use ATS keywords, while remaining natural.
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- Use the profile to add context and details.
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My profile (JSON fields merged):
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${JSON.stringify(profile, null, 2)}
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Job description:
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${jd}
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Write the résumé summary now.
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`;
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}
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/**
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* Alternative: Call the Python script directly.
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* Useful if the Python script has additional functionality.
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* Backwards compatibility wrapper if needed, or alias.
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*/
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export async function generateSummaryViaPython(
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jobDescription: string
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): Promise<SummaryResult> {
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const tempFile = join(RESUME_GEN_DIR, `temp_jd_${randomUUID()}.txt`);
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try {
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// Write JD to temp file
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await writeFile(tempFile, jobDescription);
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// Call Python script
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const result = await new Promise<string>((resolve, reject) => {
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let output = '';
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let error = '';
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const child = spawn('python3', ['generate_summary.py', '--file', tempFile], {
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cwd: RESUME_GEN_DIR,
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env: { ...process.env },
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});
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child.stdout.on('data', (data) => {
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output += data.toString();
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});
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child.stderr.on('data', (data) => {
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error += data.toString();
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});
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child.on('close', (code) => {
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if (code === 0) {
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resolve(output);
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} else {
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reject(new Error(error || `Process exited with code ${code}`));
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}
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});
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child.on('error', reject);
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});
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return { success: true, summary: sanitizeTailoredSummary(result) };
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} catch (error) {
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const message = error instanceof Error ? error.message : 'Unknown error';
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return { success: false, error: message };
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} finally {
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// Cleanup temp file
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try {
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await unlink(tempFile);
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} catch {
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// Ignore cleanup errors
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}
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}
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export async function generateSummary(
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jobDescription: string,
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profile: Record<string, unknown>
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): Promise<{ success: boolean; summary?: string; error?: string }> {
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// If we just need summary, we can discard the rest (or cache it? but here we just return summary)
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const result = await generateTailoring(jobDescription, profile);
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return {
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success: result.success,
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summary: result.data?.summary,
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error: result.error
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};
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}
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function sanitizeTailoredSummary(summary: string): string {
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const withoutBoldPreface = summary.replace(/\*\*[\s\S]*?\*\*/g, '');
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return withoutBoldPreface
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.replace(/^\s*[-–—:]+\s*/g, '')
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.replace(/[ \t]{2,}/g, ' ')
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.replace(/\n{3,}/g, '\n\n')
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function buildTailoringPrompt(profile: Record<string, unknown>, jd: string): string {
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// Extract only needed parts of profile to save tokens
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const relevantProfile = {
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basics: {
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name: (profile as any).basics?.name,
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label: (profile as any).basics?.label, // Original headline
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summary: (profile as any).basics?.summary,
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},
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skills: (profile as any).sections?.skills || (profile as any).skills,
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projects: (profile as any).sections?.projects?.items?.map((p: any) => ({
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name: p.name,
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description: p.description,
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keywords: p.keywords
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})),
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experience: (profile as any).sections?.experience?.items?.map((e: any) => ({
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company: e.company,
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position: e.position,
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summary: e.summary
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}))
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};
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return `
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You are an expert resume writer tailoring a profile for a specific job application.
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You must return a JSON object with three fields: "headline", "summary", and "skills".
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JOB DESCRIPTION:
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${jd.slice(0, 3000)} ... (truncated if too long)
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MY PROFILE:
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${JSON.stringify(relevantProfile, null, 2)}
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INSTRUCTIONS:
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1. "headline" (String):
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- CRITICAL: This is the #1 ATS factor.
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- It must match the Job Title from the JD exactly (e.g., if JD says "Senior React Dev", use "Senior React Dev").
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- If the JD title is very generic, you may add one specialty, but keep it matching the role.
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2. "summary" (String):
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- The Hook. This needs to mirror the company's "About You" / "What we're looking for" section.
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- Keep it concise, warm, and confident.
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- Do NOT invent experience.
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- Use the profile to add context.
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3. "skills" (Array of Objects):
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- Review my existing skills section structure.
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- Keyword Stuffing: Swap synonyms to match the JD exactly (e.g. "TDD" -> "Unit Testing", "ReactJS" -> "React").
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- Keep my original skill levels and categories, just rename/reorder keywords to prioritize JD terms.
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- Return the full "items" array for the skills section, preserving the structure: { "name": "Frontend", "keywords": [...] }.
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OUTPUT FORMAT (JSON):
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{
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"headline": "...",
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"summary": "...",
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"skills": [ ... ]
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}
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`;
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}
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function sanitizeText(text: string): string {
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return text
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.replace(/\*\*[\s\S]*?\*\*/g, '') // remove markdown bold
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.trim();
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}
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@ -44,6 +44,8 @@ export interface Job {
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suitabilityScore: number | null; // 0-100 AI-generated score
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suitabilityReason: string | null; // AI explanation
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tailoredSummary: string | null; // Generated resume summary
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tailoredHeadline: string | null; // Generated resume headline
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tailoredSkills: string | null; // Generated resume skills (JSON)
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selectedProjectIds: string | null; // Comma-separated IDs of selected projects
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pdfPath: string | null; // Path to generated PDF
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notionPageId: string | null; // Notion page ID if synced
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@ -133,6 +135,8 @@ export interface UpdateJobInput {
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suitabilityScore?: number;
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suitabilityReason?: string;
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tailoredSummary?: string;
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tailoredHeadline?: string;
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tailoredSkills?: string;
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selectedProjectIds?: string;
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pdfPath?: string;
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notionPageId?: string;
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661
resume-generator/base.bak.json
Normal file
661
resume-generator/base.bak.json
Normal file
@ -0,0 +1,661 @@
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{
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"basics": {
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"name": "Shaheer Sarfaraz",
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"headline": "Frontend Software Engineer (React/TypeScript) \u00b7 Autodesk Intern \u00b7 Open Source & Product Work",
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"email": "shaheer30sarfaraz@gmail.com",
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"phone": "+44 7359 501592",
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"location": "Blackpool, United Kingdom",
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"url": {
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"label": "https://dakheera47.com/",
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"href": "https://dakheera47.com/"
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},
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"customFields": [],
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"picture": {
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"url": "",
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"size": 120,
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"aspectRatio": 1,
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"borderRadius": 0,
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"effects": {
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"hidden": false,
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"border": false,
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"grayscale": false
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}
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}
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},
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"sections": {
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"summary": {
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"name": "Summary",
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"columns": 1,
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"separateLinks": true,
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"visible": true,
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"id": "summary",
|
||||
"content": "<blockquote><p>I\u2019m a BSc (Hons) Computer Science student at the University of Lancashire, graduating in June 2026 with a First-class average, and I\u2019ve spent a year as a Software Engineering Intern at Autodesk working in a large React/TypeScript production codebase. I\u2019m comfortable using Python for scripting, data cleaning, and small backend services, and I have academic experience with SQL from my databases module, which I\u2019ve applied in analytics-focused side projects. I\u2019m particularly interested in AI-driven systems and would be excited to help develop and improve AI agents for marketing and user acquisition while working closely with data scientists, engineers, and marketing/product teams</p></blockquote>"
|
||||
},
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
"date": "September 2022 to June 2026",
|
||||
"summary": "<p style=\"text-align: left;\">Relevant Modules: Web Applications, Algorithms & Data Structures, Game Development, Databases, Software Engineering (Agile group project)</p>",
|
||||
"url": {
|
||||
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|
||||
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|
||||
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||||
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||||
{
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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|
||||
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||||
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||||
"href": "https://promirage.com/"
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
"summary": "<ul><li><p><strong>Academic Support and Leadership:</strong> Provided academic guidance to over 10 first-year students once a week, significantly enhancing their understanding and skills in key subjects like programming and web development.</p></li><li><p style=\"text-align: start\"><strong>Collaborative Learning Environment:</strong> Actively fostered a collaborative and supportive learning environment for a group of 10 students. This role also honed my leadership and communication skills, facilitating better academic outcomes for mentees.</p></li></ul>",
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||||
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||||
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||||
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|
||||
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||||
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||||
{
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
"summary": "<ul><li><p>Built a <strong>mouse \u201ctorch-reveal\u201d web app</strong> (<strong>Astro</strong>) to approximate eye-tracking; ran on-campus studies with Revoe Learning Academy pupils\u2014<strong>1</strong> eye-tracked, <strong>9</strong> using my app.</p></li><li><p>Logged cursor paths, dwell time, and reveal order; delivered setup notes for staff to run sessions independently.</p></li><li><p>Developed a <strong>Questionnaire Randomiser</strong> (Next.js): selectable response metrics (<strong>smileys / numbers / stars</strong>), configurable randomisation strategies, and <strong>ZIP export of per-student PDFs</strong> ready for print.</p></li><li><p>Extras: lightweight analytics for comparison with the eye-tracking baseline; optional CSV/JSON data export.</p></li></ul>",
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
"date": "July 2023 - Present",
|
||||
"summary": "<ul><li><p><strong>Diverse Role Engagement:</strong> Actively engaged in various tasks, from guiding tours to assisting on open days, demonstrating adaptability and organizational skills.</p></li><li><p><strong>Campus Culture Promotion:</strong> Contributed to enhancing the university\u2019s inclusive campus atmosphere, showcasing the university's vibrant community to prospective students.</p></li></ul>",
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
{
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
"summary": "<ol><li><p><strong>WordPress and Elementor Integration:</strong> Expertly utilized WordPress with Elementor to build a robust content management system, enhancing the website's scalability and user interaction capabilities.</p></li><li><p><strong>Client Engagement and Trust Building:</strong> Implemented features to showcase client testimonials, effectively building trust and displaying the success of previous project engagements.</p></li><li><p><strong>Intuitive Design and User Engagement:</strong> Focused on intuitive page design and structuring, streamlining site maintenance and content updates, thereby enhancing user engagement.</p></li><li><p><strong>Effective Call-to-Actions:</strong> Crafted clear call-to-actions and provided essential contact information, significantly improving user interaction and conversion rates.</p></li><li><p><strong>Portfolio Display for Business Showcase:</strong> Presented past work and services offered through a comprehensive portfolio display, allowing visitors to assess the quality and impact of Stellar Consultancy's services.</p></li></ol>",
|
||||
"keywords": [],
|
||||
"url": {
|
||||
"label": "",
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||||
"href": "https://stellarconsultancy.ca"
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||||
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||||
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||||
{
|
||||
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|
||||
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|
||||
"name": "Mumtaz Urdu",
|
||||
"description": "Developer",
|
||||
"date": "July 2022",
|
||||
"summary": "<ol><li><p><strong>Server-Rendered Web Application Development</strong>: Created the Mumtaz Urdu platform with Next.js to optimize server-side rendering for enhanced SEO and performance.</p></li><li><p><strong>UI Development with Tailwind CSS</strong>: Implemented utility-first Tailwind CSS, ensuring rapid, responsive design for a seamless user interface.</p></li><li><p><strong>Scalable Storage Solution</strong>: Integrated scalable Amazon S3 storage, supporting the application's growth and robust data management.</p></li><li><p><strong>Progressive Web App Implementation</strong>: Developed PWA features for Mumtaz Urdu, offering users native-like mobile access and increased engagement.</p></li><li><p><strong>High Traffic Data Management</strong>: Engineered Mumtaz Urdu's backend with Next.js and MongoDB, enabling the handling and efficient processing of vast amounts of user data for thousands of monthly users.</p></li><li><p><strong>Test-Driven Development</strong>: Embraced TDD practices to ensure reliable and high-quality code, facilitating regular testing throughout the development process for continuous improvement.</p></li></ol>",
|
||||
"keywords": [],
|
||||
"url": {
|
||||
"label": "",
|
||||
"href": "https://www.mumtazurdu.com/"
|
||||
}
|
||||
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||||
{
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||||
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||||
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||||
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|
||||
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|
||||
"date": "January 2022",
|
||||
"summary": "<ol><li><p><strong>Innovative Feature Implementation:</strong> Implemented the <code>locateCenterOnScreenNear</code> function for <code>PyScreeze</code>, enhancing the library's functionality by enabling precise image location near a specified point on the screen.</p></li><li><p><strong>Open Source Contribution:</strong> Marked my debut in open-source contributions with this significant addition to <code>PyScreeze</code>, showcasing my initiative and ability to contribute effectively to community-driven projects.</p></li><li><p><strong>Collaborative Development and Recognition:</strong> Collaborated with the project's maintainer, <code>asweigart</code>, to refine and integrate the function into the main codebase, receiving recognition for this valuable contribution to the project.</p></li></ol>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
{
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
"keywords": [],
|
||||
"url": {
|
||||
"label": "",
|
||||
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|
||||
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|
||||
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|
||||
{
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||||
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|
||||
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|
||||
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|
||||
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|
||||
"date": "November 2021",
|
||||
"summary": "<ul><li><p><strong>Framework</strong>: Written in Python, leveraging the versatility and ease-of-use of the language.</p></li><li><p><strong>Automation Library</strong>: Utilized PyAutoGUI for automating user interactions, enhancing the utility of the application.</p></li><li><p><strong>Iterative Improvement</strong>: Progressively refined over a year, demonstrating a commitment to robustness and reliability.</p></li><li><p><strong>Project Purpose</strong>: Developed to automate the process of joining Zoom classes, alleviating the repetitive morning routine.</p></li></ul>",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
{
|
||||
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|
||||
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|
||||
"name": "Meet Link Generator",
|
||||
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|
||||
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|
||||
"summary": "<ul><li><p><strong>Functionality</strong>: Generates Google Meet links with specific words in the URL by brute-forcing the creation of thousands of links until the desired pattern is achieved. Doing so enables creation of Google Meet links with specific codes or phrases.</p></li><li><p><strong>Optimized Automation</strong>: The final product uses Python with PyAutoGUI for efficient and rapid creation of new Google Meet links.</p></li><li><p><strong>Speed and Efficiency</strong>: Drastically improved performance, finally achieving the link generation time to under 1 second per link, limited only by internet speed.</p></li><li><p><strong>Interface Interaction</strong>: Utilizes the Google Meet homepage's features for quicker link generation, avoiding full page refreshes for speed.</p></li></ul>",
|
||||
"keywords": [],
|
||||
"url": {
|
||||
"label": "",
|
||||
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|
||||
}
|
||||
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|
||||
{
|
||||
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|
||||
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|
||||
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|
||||
"description": "",
|
||||
"date": "UCLan Year 1",
|
||||
"summary": "<ul><li><p><strong>Backend Development with PHP and MySQL:</strong> Developed the backend for a Student\u2019s Union Shop web application, integrating PHP and MySQL for dynamic data handling and backend database communication.</p></li><li><p><strong>User Authentication and Session Management:</strong> Implemented user sign-up and login functionality using PHP sessions, enabling secure and personalized shopping experiences.</p></li><li><p><strong>Dynamic Content Display from Database:</strong> Enhanced the application to dynamically display products and offers directly from the database, moving away from static HTML content.</p></li><li><p><strong>Advanced Search and Personalization Features:</strong> Integrated advanced product search capabilities and personalized user greetings, improving user interactivity and engagement.</p></li></ul>",
|
||||
"keywords": [],
|
||||
"url": {
|
||||
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||||
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|
||||
}
|
||||
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|
||||
{
|
||||
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|
||||
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|
||||
"name": "Square About",
|
||||
"description": "",
|
||||
"date": "UCLan Year 1",
|
||||
"summary": "<ul><li><p><strong>Advanced 3D Game Development:</strong> Implemented a complex 3D game using TL-Engine, featuring intricate gameplay mechanics and immersive 3D visuals.</p></li><li><p><strong>Dynamic Gameplay Elements:</strong> Integrated multiple spheres with varying behaviors, including super-spheres requiring multiple hits, enhancing the game's challenge and engagement levels.</p></li><li><p><strong>Interactive Game Controls:</strong> Developed features for speed control and directional change, allowing players to interact dynamically with the game environment.</p></li><li><p><strong>Strategic Game Mechanics:</strong> Added a bullet firing mechanism with a limited ammo concept, introducing strategic elements and a scoring system to the gameplay.</p></li></ul>",
|
||||
"keywords": [],
|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
{
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||||
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||||
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|
||||
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|
||||
"description": "",
|
||||
"date": "UCLan Year 1",
|
||||
"summary": "<ol><li><p><strong>3D Car Smash Game Development:</strong> Developed a 3D car smash game using TL-Engine, showcasing skills in game engine utilization and 3D gaming.</p></li><li><p><strong>Collision Detection Mechanics:</strong> Implemented advanced collision detection between player's car and enemy vehicles, enhancing gameplay realism.</p></li><li><p><strong>Dynamic Game States and Camera Views:</strong> Integrated multiple game states and camera views, including a chase camera and first-person view, for an immersive gaming experience.</p></li><li><p><strong>Enhanced Player Interaction:</strong> Created a more realistic driving experience with accelerated movement and bounce effects on collisions, and introduced particle systems for visual effects.</p></li></ol>",
|
||||
"keywords": [],
|
||||
"url": {
|
||||
"label": "",
|
||||
"href": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "gylzkvl103m9s7ywag4xpdy4",
|
||||
"visible": false,
|
||||
"name": "Tweet Filter",
|
||||
"description": "",
|
||||
"date": "UCLan Year 1",
|
||||
"summary": "<ol><li><p><strong>Tweet Filtration System:</strong> Crafted a C++ program to filter out prohibited words from tweets, showcasing text processing and file handling capabilities.</p></li><li><p><strong>Advanced Text Manipulation:</strong> Enhanced the program to filter varying cases and contexts of banned words, even within larger strings, demonstrating attention to detail in string operations.</p></li><li><p><strong>Output Generation:</strong> Implemented functionality to write filtered tweets to new files, maintaining data integrity and displaying proficiency in file I/O operations.</p></li><li><p><strong>Algorithm Optimization:</strong> Utilized data structures like vectors and implemented mathematical techniques for efficient word frequency analysis and sentiment determination.</p></li></ol>",
|
||||
"keywords": [],
|
||||
"url": {
|
||||
"label": "",
|
||||
"href": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "enav754zxhuc9uycbb83s94q",
|
||||
"visible": false,
|
||||
"name": "Burger Ordering App",
|
||||
"description": "",
|
||||
"date": "UCLan Year 1",
|
||||
"summary": "<ol><li><p><strong>Interactive Console Application:</strong> Engineered a C++ console application simulating a burger ordering process, highlighting proficiency in creating user-interactive software.</p></li><li><p><strong>Complex Logic Implementation:</strong> Designed and implemented complex logic for burger size and topping selection, including pricing and order summary features.</p></li><li><p><strong>Data Handling and User Input:</strong> Developed robust credit system and user input validation for an intuitive ordering experience, showcasing attention to detail and user-centric design.</p></li><li><p><strong>Readable and Maintainable Code:</strong> Produced well-documented, maintainable code with clear variable naming and structured formatting, demonstrating best practices in software development.</p></li></ol>",
|
||||
"keywords": [],
|
||||
"url": {
|
||||
"label": "",
|
||||
"href": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "hl6jgeswr01tlul3iwoat05d",
|
||||
"visible": false,
|
||||
"name": "LinkLander",
|
||||
"description": "Android Studio, Kotlin",
|
||||
"date": "December 2023 - Ongoing",
|
||||
"summary": "<ul><li><p><strong>Innovative Android Utility:</strong> Developed LinkLander, a Kotlin-based Android application that simplifies the process of downloading online content directly to devices.</p></li><li><p><strong>User-Centric Design:</strong> Focused on addressing Android system limitations by providing a seamless shortcut for redirecting links to an online video downloading service.</p></li><li><p><strong>Simplicity and Efficiency:</strong> Emphasized a user-friendly interface, enhancing the Android experience by streamlining content downloads.</p></li><li><p><strong>Technical Proficiency in Kotlin:</strong> Leveraged the capabilities of Kotlin for Android development to create a practical solution for niche digital tasks.</p></li></ul>",
|
||||
"keywords": [],
|
||||
"url": {
|
||||
"label": "",
|
||||
"href": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "v4s0ljbiiio198y8l1wl0ym6",
|
||||
"visible": false,
|
||||
"name": "AR App Development with AGILE",
|
||||
"description": "Unity, C#",
|
||||
"date": "October 2023 - Ongoing",
|
||||
"summary": "<ul><li><p><strong>Agile Development in Action</strong>: Participated in an Agile team project, developing an AR application for supporting disabled students with a team of five, demonstrating an application of Agile methodologies in a real-world scenario.</p></li><li><p><strong>Mobile AR Application Prototype</strong>: Developed a proof-of-concept prototype using Unity and C# for mobile platforms, showcasing technical skills in modern app development environments.</p></li><li><p><strong>Collaborative Software Engineering</strong>: Engaged in a collaborative environment, contributing code and ideas, emphasizing teamwork and shared responsibility in software creation.</p></li><li><p><strong>Presentation and Critical Analysis</strong>: Delivered a comprehensive presentation and critical report, evaluating the Agile process, product development, and personal learning outcomes.</p></li></ul>",
|
||||
"keywords": [],
|
||||
"url": {
|
||||
"label": "",
|
||||
"href": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "fwxrq682hqrj1y76rmziqrbk",
|
||||
"visible": true,
|
||||
"name": "Indus Marine Services",
|
||||
"description": "System Design & Development",
|
||||
"date": "May 2022 - Ongoing",
|
||||
"summary": "<ol><li><p><strong>Induction System for Marine Services</strong>: Designed & developed an induction system for Indus Marine Services in the UAE, streamlining the employee onboarding process with interactive testing and certification issuance.</p></li><li><p><strong>Admin-Centric Functionality</strong>: Devised a back-end system allowing admins to oversee inductee progress, manage documents, and curate customized quizzes as per requirements</p></li><li><p><strong>Client Engagement Interface</strong>: Implemented a user-friendly front-end where inductees receive personalized email prompts, complete quizzes, and obtain certifications, all contributing to a seamless induction experience.</p></li><li><p><strong>Robust Tech Stack Integration</strong>: Utilized a sophisticated stack comprising Node.js, Express, EJS, and Tailwind CSS to build a responsive, scalable, and easily navigable system.</p></li></ol>",
|
||||
"keywords": [],
|
||||
"url": {
|
||||
"label": "",
|
||||
"href": "http://www.ims-auh.com"
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "jdfyaez8vq1b7xfr9rmxmz06",
|
||||
"visible": false,
|
||||
"name": "VECTOR AI",
|
||||
"description": "Website Development",
|
||||
"date": "February 2024 - February 2024",
|
||||
"summary": "<ol><li><p><strong>Innovative AI Development</strong>: As the driving force behind VECTOR's website development, I spearheaded the technical design using Astro, with a cutting-edge stack including React and Tailwind CSS.</p></li><li><p><strong>Data-Driven Content Strategy</strong>: Leveraged Astro content management capabilities to structure and present data, ensuring content is dynamic, easily accessible, and optimized for both performance and scalability.</p></li><li><p><strong>Astro for Enhanced Performance</strong>: Utilized Astro for static site generation, making VECTOR's website performance fast for a pleasant user experience</p></li><li><p><strong>React for Responsive Interaction</strong>: Utilized React\u2019s robust ecosystem to develop interactive elements, ensuring that each module of VECTOR\u2019s platform is engaging and seamless for users across various touchpoints.</p></li></ol>",
|
||||
"keywords": [],
|
||||
"url": {
|
||||
"label": "",
|
||||
"href": "https://vector-ai.co/"
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "qdhmfkqpfql19ohfas1g91ek",
|
||||
"visible": false,
|
||||
"name": "UCLan's First Hackathon",
|
||||
"description": "Hackathon, Team Work",
|
||||
"date": "February 2024",
|
||||
"summary": "<ol><li><p><strong>Second Place in UCLan Hackathon</strong>: Earned second place in UCLan's first hackathon by developing an app to simplify university life. Focused on enhancing the attendance monitoring process for student mentors.</p></li><li><p><strong>TRPC for End-to-End Type Safety</strong>: Utilized TRPC to ensure end-to-end type safety, enhancing the app's reliability and streamlining the development process.</p></li><li><p><strong>Supabase Backend Integration</strong>: Implemented Supabase as a backend solution, providing a robust and scalable database for managing attendance data efficiently.</p></li><li><p><strong>Amazon SES and OAuth Integration</strong>: Integrated Amazon SES for email notifications and OAuth for secure Google login, improving user experience and communication.</p></li></ol>",
|
||||
"keywords": [],
|
||||
"url": {
|
||||
"label": "",
|
||||
"href": ""
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "rw3x7tapntrt877rbl4pnxz7",
|
||||
"visible": true,
|
||||
"name": "NASA Space Apps Challenge",
|
||||
"description": "A 48-hour, global hackathon powered by NASA open data",
|
||||
"date": "Oct 4\u20135, 2025",
|
||||
"summary": "<ol><li><p><strong>Full-Stack Integration:</strong> Wired up backend services to a responsive frontend, enabling real-time exploration of <strong>Kepler/K2/TESS</strong> catalogs and smooth model-scoring UX.</p></li><li><p><strong>Data Harmonization Pipeline:</strong> Cleaned, merged, and standardized multi-mission catalogs into a unified schema, unblocking ML teammates and cutting data-prep time by <strong>60%+</strong> during the hack.</p></li><li><p><strong>Analytics UI & Upload Flow:</strong> Built an upload \u2192 validate \u2192 score workflow and a clear results dashboard so researchers can triage candidates in minutes, not hours.</p></li><li><p><strong>Delivery Under Pressure:</strong> Coordinated a <strong>5-person</strong> multidisciplinary team to ship a working web app in <strong>48 hours</strong>, with demo-ready reliability for judging.</p></li></ol>",
|
||||
"keywords": [],
|
||||
"url": {
|
||||
"label": "",
|
||||
"href": "https://exploranium.vercel.app/dashboard"
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "i2t6epmx5v7s0d8rqtxsigp3",
|
||||
"visible": true,
|
||||
"name": "Strong Statistics",
|
||||
"description": "Self-hosted strength analytics app using FastAPI and Next.js to visualize Strong app data with full local privacy and active open-source adoption.",
|
||||
"date": "September 2025 - Present",
|
||||
"summary": "<ol><li><p><strong>Self-Hosted Strength Analytics Platform:</strong> Developed <em>strong-statistics</em>, an open-source web app that visualizes detailed workout analytics from the <strong>Strong </strong>and<strong> Hevy</strong> fitness app, giving users local control of their training data.</p></li><li><p><strong>Full-Stack Architecture:</strong> Built a modular stack with <strong>FastAPI</strong>, <strong>Next.js</strong>, <strong>Tailwind CSS</strong>, and <strong>SQLite</strong>, deployed via <strong>Docker Compose</strong> for seamless self-hosting and persistent local data storage.</p></li><li><p><strong>Active Open-Source Ecosystem:</strong> Published on GitHub with <strong>community engagement from global users</strong> \u2014 external contributors opened feature requests and bug reports, validating real-world adoption and reliability.</p></li><li><p><strong>Continuous Personal Use & Maintenance:</strong> Regularly updated and used in live deployment at <a target=\"_blank\" rel=\"noopener noreferrer nofollow\" href=\"http://lifting.dakheera47.com\">lifting.dakheera47.com</a>, tracking <strong>hundreds of sets</strong> over time with persistent analytics and performance trends.</p></li></ol>",
|
||||
"keywords": [],
|
||||
"url": {
|
||||
"label": "",
|
||||
"href": "https://lifting.dakheera47.com/"
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
"publications": {
|
||||
"name": "Publications",
|
||||
"columns": 1,
|
||||
"separateLinks": true,
|
||||
"visible": true,
|
||||
"id": "publications",
|
||||
"items": []
|
||||
},
|
||||
"references": {
|
||||
"name": "References",
|
||||
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|
||||
"separateLinks": true,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"name": "Available upon request",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
]
|
||||
},
|
||||
"skills": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"React",
|
||||
"Next.js",
|
||||
"Tailwind CSS",
|
||||
"Strapi CMS",
|
||||
"Elementor",
|
||||
"GraphQL",
|
||||
"TypeScript",
|
||||
"CI/CD",
|
||||
"PWA Development",
|
||||
"AstroJS",
|
||||
"React Testing Library"
|
||||
]
|
||||
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|
||||
{
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"Node.js",
|
||||
"Express.js",
|
||||
"MongoDB",
|
||||
"Supabase",
|
||||
"Firebase",
|
||||
"Docker",
|
||||
"FastAPI",
|
||||
"AWS S3",
|
||||
"AWS SES"
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"GitHub",
|
||||
"Selenium",
|
||||
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|
||||
"Web Scraping",
|
||||
"Data Cleaning"
|
||||
]
|
||||
}
|
||||
]
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
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|
||||
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|
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|
||||
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||||
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|
||||
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|
||||
"notes": ""
|
||||
}
|
||||
}
|
||||
Loading…
x
Reference in New Issue
Block a user