From 7ab024efda51cf12a7ed5731eb1f3516275c43f5 Mon Sep 17 00:00:00 2001 From: DaKheera47 Date: Thu, 11 Dec 2025 22:04:39 +0000 Subject: [PATCH] Initial Commit --- .gitignore | 1 + job-extractor/.dockerignore | 8 + job-extractor/.gitignore | 7 + job-extractor/Dockerfile | 52 + job-extractor/README.md | 8 + job-extractor/package-lock.json | 4941 +++++++++++++++++++++++ job-extractor/package.json | 30 + job-extractor/src/main.ts | 43 + job-extractor/src/routes.ts | 180 + job-extractor/tsconfig.json | 12 + resume-generator/base.json | 661 +++ resume-generator/generate_summary.py | 137 + resume-generator/rxresume_automation.py | 105 + 13 files changed, 6185 insertions(+) create mode 100644 .gitignore create mode 100644 job-extractor/.dockerignore create mode 100644 job-extractor/.gitignore create mode 100644 job-extractor/Dockerfile create mode 100644 job-extractor/README.md create mode 100644 job-extractor/package-lock.json create mode 100644 job-extractor/package.json create mode 100644 job-extractor/src/main.ts create mode 100644 job-extractor/src/routes.ts create mode 100644 job-extractor/tsconfig.json create mode 100644 resume-generator/base.json create mode 100644 resume-generator/generate_summary.py create mode 100644 resume-generator/rxresume_automation.py diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..496ee2c --- /dev/null +++ b/.gitignore @@ -0,0 +1 @@ +.DS_Store \ No newline at end of file diff --git a/job-extractor/.dockerignore b/job-extractor/.dockerignore new file mode 100644 index 0000000..2710668 --- /dev/null +++ b/job-extractor/.dockerignore @@ -0,0 +1,8 @@ +# configurations +.idea + +# crawlee storage folder +storage + +# installed files +node_modules diff --git a/job-extractor/.gitignore b/job-extractor/.gitignore new file mode 100644 index 0000000..f273f02 --- /dev/null +++ b/job-extractor/.gitignore @@ -0,0 +1,7 @@ +# This file tells Git which files shouldn't be added to source control + +.idea +dist +node_modules +storage + diff --git a/job-extractor/Dockerfile b/job-extractor/Dockerfile new file mode 100644 index 0000000..b86983f --- /dev/null +++ b/job-extractor/Dockerfile @@ -0,0 +1,52 @@ +# Specify the base Docker image. You can read more about +# the available images at https://crawlee.dev/docs/guides/docker-images +# You can also use any other image from Docker Hub. +FROM apify/actor-node-playwright-chrome:20-1.50.1 AS builder + +# Copy just package.json and package-lock.json +# to speed up the build using Docker layer cache. +COPY --chown=myuser package*.json ./ + +# Install all dependencies. Don't audit to speed up the installation. +RUN npm install --include=dev --audit=false + +# Next, copy the source files using the user set +# in the base image. +COPY --chown=myuser . ./ + +# Install all dependencies and build the project. +# Don't audit to speed up the installation. +RUN npm run build + +# Create final image +FROM apify/actor-node-playwright-chrome:20-1.50.1 + +# Copy only built JS files from builder image +COPY --from=builder --chown=myuser /home/myuser/dist ./dist + +# Copy just package.json and package-lock.json +# to speed up the build using Docker layer cache. +COPY --chown=myuser package*.json ./ + +# Ensure we'll install Camoufox using the npm postinstall script +ENV PLAYWRIGHT_SKIP_BROWSER_DOWNLOAD=0 +# Install NPM packages, skip optional and development dependencies to +# keep the image small. Avoid logging too much and print the dependency +# tree for debugging +RUN npm --quiet set progress=false \ + && npm install --omit=dev \ + && echo "Installed NPM packages:" \ + && (npm list --omit=dev --all || true) \ + && echo "Node.js version:" \ + && node --version \ + && echo "NPM version:" \ + && npm --version + +# Next, copy the remaining files and directories with the source code. +# Since we do this after NPM install, quick build will be really fast +# for most source file changes. +COPY --chown=myuser . ./ + +# Run the image. If you know you won't need headful browsers, +# you can remove the XVFB start script for a micro perf gain. +CMD ./start_xvfb_and_run_cmd.sh && npm run start:prod --silent diff --git a/job-extractor/README.md b/job-extractor/README.md new file mode 100644 index 0000000..85d44ee --- /dev/null +++ b/job-extractor/README.md @@ -0,0 +1,8 @@ +# Crawlee + PlaywrightCrawler + Camoufox + TypeScript project + +This template is a production ready boilerplate for developing with `PlaywrightCrawler`. Use this to bootstrap your projects using the most up-to-date code. + +If you're looking for examples or want to learn more visit: + +- [Documentation](https://crawlee.dev/js/api/playwright-crawler/class/PlaywrightCrawler) +- [Examples](https://crawlee.dev/js/docs/examples/playwright-crawler) diff --git a/job-extractor/package-lock.json b/job-extractor/package-lock.json new file mode 100644 index 0000000..da0f882 --- /dev/null +++ b/job-extractor/package-lock.json @@ -0,0 +1,4941 @@ +{ + "name": "job-flow", + "version": "0.0.1", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "job-flow", + "version": "0.0.1", + "hasInstallScript": true, + "license": "ISC", + "dependencies": { + "camoufox-js": "^0.8.0", + "crawlee": "^3.0.0", + "playwright": "*" + }, + "devDependencies": { + "@apify/tsconfig": "^0.1.0", + "@types/fs-extra": "^11", + "@types/node": "^24.0.0", + "fs-extra": "^11.3.0", + "tsx": "^4.4.0", + "typescript": "~5.9.0" + } + }, + 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"^11.3.0", + "tsx": "^4.4.0", + "typescript": "~5.9.0" + }, + "scripts": { + "start": "npm run start:dev", + "start:prod": "node dist/main.js", + "start:dev": "tsx src/main.ts", + "build": "tsc", + "test": "echo \"Error: oops, the actor has no tests yet, sad!\" && exit 1", + "get-binaries": "camoufox-js fetch", + "postinstall": "npm run get-binaries" + }, + "author": "It's not you it's me", + "license": "ISC" +} diff --git a/job-extractor/src/main.ts b/job-extractor/src/main.ts new file mode 100644 index 0000000..8dcdf5d --- /dev/null +++ b/job-extractor/src/main.ts @@ -0,0 +1,43 @@ +// For more information, see https://crawlee.dev/ +import { launchOptions } from "camoufox-js"; +import { PlaywrightCrawler, ProxyConfiguration } from "crawlee"; +import { firefox } from "playwright"; + +import { router } from "./routes.js"; + +const startUrls = [ + { + url: "https://www.gradcracker.com/search/computing-technology/web-development-graduate-jobs-in-north-west?order=dateAdded", + userData: { label: "gradcracker-list-page" }, + }, +]; + +const crawler = new PlaywrightCrawler({ + // proxyConfiguration: new ProxyConfiguration({ proxyUrls: ['...'] }), + requestHandler: router, + // Comment this option to scrape the full website. + maxRequestsPerCrawl: 20, + // Add delay between requests to slow down the process + minConcurrency: 1, + maxConcurrency: 2, + navigationTimeoutSecs: 60, + // Add delay between requests (in milliseconds) +// requestHandlerTimeoutSecs: 50, + browserPoolOptions: { + // Disable the default fingerprint spoofing to avoid conflicts with Camoufox. + useFingerprints: false, + }, + launchContext: { + launcher: firefox, + launchOptions: await launchOptions({ + headless: false, + // block_images: true, + // Pass your own Camoufox parameters here... + // block_images: true, + // fonts: ['Times New Roman'], + // ... + }), + }, +}); + +await crawler.run(startUrls); diff --git a/job-extractor/src/routes.ts b/job-extractor/src/routes.ts new file mode 100644 index 0000000..f61bc02 --- /dev/null +++ b/job-extractor/src/routes.ts @@ -0,0 +1,180 @@ +import { createPlaywrightRouter, log } from "crawlee"; + +interface Job { + title: string | null; + jobUrl: string | null; + employer: string | null; + employerUrl: string | null; + disciplines: string | null; + deadline: string | null; + salary: string | null; + location: string | null; + degreeRequired: string | null; + starting: string | null; +} + +export const router = createPlaywrightRouter(); + +router.addHandler( + "gradcracker-list-page", + async ({ page, request, enqueueLinks }) => { + log.info(`Processing: ${request.url}`); + + // Wait until the job cards are rendered + await page.waitForSelector("article[wire\\:key]", { timeout: 30000 }); + + // Add delay to see the page load + await page.waitForTimeout(3000); + + const toAbsolute = (href: string | null) => { + if (!href) return null; + try { + return new URL(href, request.loadedUrl).href; + } catch { + return href; + } + }; + + const articles = await page.locator("article[wire\\:key]").all(); + const jobs: Job[] = []; + + for (const article of articles) { + const titleLocator = article.locator("h2 a"); + const title = (await titleLocator.textContent())?.trim() ?? null; + const jobUrl = toAbsolute(await titleLocator.getAttribute("href")); + + const employerImg = article.locator("figure img"); + const employer = (await employerImg.getAttribute("alt"))?.trim() ?? null; + + const employerAnchor = article.locator("figure a"); + const employerUrl = toAbsolute(await employerAnchor.getAttribute("href")); + + const disciplinesEl = article.locator("h3"); + const disciplines = (await disciplinesEl.textContent())?.trim() ?? null; + + // Find the "Deadline: ..." pill + const deadlineLocator = article + .locator("div", { hasText: "Deadline:" }) + .first(); + let deadline: string | null = null; + if ((await deadlineLocator.count()) > 0) { + const deadlineText = (await deadlineLocator.textContent()) ?? ""; + // Extract deadline and clean up whitespace + deadline = + deadlineText + .replace("Deadline:", "") + .split("\n")[0] // Take only first line + .trim() || null; + } + + const getDdText = async (label: string) => { + // Find dt that has the exact label text (ignoring whitespace) + const dt = article + .locator("dt") + .filter({ hasText: new RegExp(`^\\s*${label}\\s*$`) }); + if ((await dt.count()) === 0) return null; + + // Get the next sibling dd + const dd = dt.locator("+ dd"); + if ((await dd.count()) > 0) { + const text = await dd.textContent(); + if (!text) return null; + // Clean up: remove extra whitespace and newlines + return text.replace(/\s+/g, " ").trim() || null; + } + return null; + }; + + const salary = await getDdText("Salary"); + const location = await getDdText("Location"); + const degreeRequired = await getDdText("Degree required"); + const starting = await getDdText("Starting"); + + jobs.push({ + title, + jobUrl, + employer, + employerUrl, + disciplines, + deadline, + salary, + location, + degreeRequired, + starting, + }); + + // append more links to crawl: single job pages + if (jobUrl) { + await enqueueLinks({ + urls: [jobUrl], + userData: { + ...jobs[jobs.length - 1], + label: "gradcracker-single-job-page" + }, + }); + } + } + log.info(`Extracted ${jobs.length} jobs`); + } +); + +router.addHandler( + "gradcracker-single-job-page", + async ({ page, request, pushData, log }) => { + const { label, ...jobSummary } = request.userData; + log.info(`Processing single job page: ${request.url}`); + + // Wait for job content to be present + await page.waitForSelector(".body-content", { timeout: 30000 }); + + // Optional delay if you want to visually see it while debugging + await page.waitForTimeout(2000); + + const jobDescription = + (await page.locator(".body-content").textContent())?.trim() || null; + + const applyButton = page.locator('a[dusk="apply-button"]'); + const hasApplyButton = (await applyButton.count()) > 0; + + let applicationLink: string | null = null; + + if (hasApplyButton) { + const context = page.context(); + const originalUrl = page.url(); + + // Race the click with "a new page opened" event. + // If it opens in the same tab, waitForEvent('page') will just time out and we fallback. + const [maybeNewPage] = await Promise.all([ + context.waitForEvent("page").catch(() => null), + applyButton.click(), + ]); + + // If a new tab/window opened, use that; otherwise stay on the current page. + const targetPage = maybeNewPage ?? page; + + // Wait for whatever we landed on to finish loading a bit + await targetPage.waitForTimeout(7500); + + applicationLink = targetPage.url(); + + // Optional sanity check: if the URL is still the original Gradcracker page, + // you can decide to treat it as "no external app link found". + if (applicationLink === originalUrl) { + log.info( + `Apply click did not change URL (still Gradcracker): ${applicationLink}` + ); + } else { + log.info(`Captured application URL: ${applicationLink}`); + } + } else { + log.warning(`Apply button not found on page: ${request.url}`); + } + + await pushData({ + ...jobSummary, + url: request.url, // Gradcracker job page + applicationLink, // External or same-page URL after click + jobDescription, + }); + } +); diff --git a/job-extractor/tsconfig.json b/job-extractor/tsconfig.json new file mode 100644 index 0000000..cc141ac --- /dev/null +++ b/job-extractor/tsconfig.json @@ -0,0 +1,12 @@ +{ + "extends": "@apify/tsconfig", + "compilerOptions": { + "module": "NodeNext", + "moduleResolution": "NodeNext", + "target": "ES2022", + "outDir": "dist", + "noUnusedLocals": false, + "lib": ["DOM"] + }, + "include": ["./src/**/*"] +} diff --git a/resume-generator/base.json b/resume-generator/base.json new file mode 100644 index 0000000..b0f0195 --- /dev/null +++ b/resume-generator/base.json @@ -0,0 +1,661 @@ +{ + "basics": { + "name": "Shaheer Sarfaraz", + "headline": "Frontend Software Engineer (React/TypeScript) \u00b7 Autodesk Intern \u00b7 Open Source & Product Work", + "email": "shaheer30sarfaraz@gmail.com", + "phone": "+44 7359 501592", + "location": "Blackpool, United Kingdom", + "url": { + "label": "https://dakheera47.com/", + "href": "https://dakheera47.com/" + }, + "customFields": [], + "picture": { + "url": "", + "size": 120, + "aspectRatio": 1, + "borderRadius": 0, + "effects": { + "hidden": false, + "border": false, + "grayscale": false + } + } + }, + "sections": { + "summary": { + "name": "Summary", + "columns": 1, + "separateLinks": true, + "visible": true, + "id": "summary", + "content": "

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

" + }, + "awards": { + "name": "Awards", + "columns": 1, + "separateLinks": true, + "visible": true, + "id": "awards", + "items": [] + }, + "certifications": { + "name": "Certifications", + "columns": 1, + "separateLinks": true, + "visible": true, + "id": "certifications", + "items": [] + }, + "education": { + "name": "Education", + "columns": 1, + "separateLinks": true, + "visible": true, + "id": "education", + "items": [ + { + "id": "yo3p200zo45c6cdqc6a2vtt3", + "visible": true, + "institution": "University of Lancashire", + "studyType": "BSc (Hons) Computer Science", + "area": "Preston, United Kingdom", + "score": "1st Class", + "date": "September 2022 to June 2026", + "summary": "

Relevant Modules: Web Applications, Algorithms & Data Structures, Game Development, Databases, Software Engineering (Agile group project)

", + "url": { + "label": "", + "href": "https://www.lancashire.ac.uk/undergraduate/courses/computer-science-bsc" + } + }, + { + "id": "ei2fvjokusg3cfmdyolmgcoz", + "visible": false, + "institution": " ", + "studyType": "", + "area": "A Levels", + "score": "", + "date": "", + "summary": "", + "url": { + "label": "", + "href": "" + } + }, + { + "id": "pm4r5hngvv1w4mc79o22irfx", + "visible": false, + "institution": " ", + "studyType": "", + "area": "GCSEs", + "score": "", + "date": "", + "summary": "
  1. English: A*

  2. Computer Science: A*

  3. Urdu: A

  4. Islamiat: A

  5. Pakistan Studies: A

  6. Biology: A

  7. Chemistry: A

  8. Physics: A

  9. Maths: A

", + "url": { + "label": "", + "href": "" + } + } + ] + }, + "experience": { + "name": "Experience", + "columns": 1, + "separateLinks": true, + "visible": true, + "id": "experience", + "items": [ + { + "id": "ng9ui2azk7w4y8oyu8kazqeb", + "visible": true, + "company": "Autodesk", + "position": "Software Engineering Intern", + "location": "Hybrid (Sheffield Based)", + "date": "July 2024 - June 2025", + "summary": "", + "url": { + "label": "", + "href": "" + } + }, + { + "id": "lhw25d7gf32wgdfpsktf6e0x", + "visible": true, + "company": "Mirage", + "position": "Co-Founder & Lead Developer", + "location": "", + "date": "December 2019 to Present", + "summary": "", + "url": { + "label": "", + "href": "https://promirage.com/" + } + }, + { + "id": "k6zxqunkb225hbjso3c3vykk", + "visible": true, + "company": "University of Lancashire", + "position": "Computing Student Mentor", + "location": "Preston, UK", + "date": "July 2023 - July 2024", + "summary": "", + "url": { + "label": "", + "href": "" + } + }, + { + "id": "a1bg5d8gp8sulf91xzdcsiaq", + "visible": true, + "company": "Research and Knowledge Exchange Institute", + "position": "Undergraduate Research Intern (HCI & EdTech)", + "location": "", + "date": "Summer 2024", + "summary": "", + "url": { + "label": "", + "href": "" + } + }, + { + "id": "tx32suzrg2bs5eumcbjei4ns", + "visible": false, + "company": "University of Lancashire", + "position": "Student Ambassador", + "location": "Preston, UK", + "date": "July 2023 - Present", + "summary": "", + "url": { + "label": "", + "href": "" + } + } + ] + }, + "volunteer": { + "name": "Volunteering", + "columns": 1, + "separateLinks": true, + "visible": true, + "id": "volunteer", + "items": [] + }, + "interests": { + "name": "Interests", + "columns": 1, + "separateLinks": true, + "visible": false, + "id": "interests", + "items": [] + }, + "languages": { + "name": "Languages", + "columns": 1, + "separateLinks": true, + "visible": true, + "id": "languages", + "items": [] + }, + "profiles": { + "name": "Profiles", + "columns": 1, + "separateLinks": true, + "visible": true, + "id": "profiles", + "items": [ + { + "id": "ukl0uecvzkgm27mlye0wazlb", + "visible": true, + "network": "GitHub", + "username": "DaKheera47", + "icon": "github", + "url": { + "label": "", + "href": "https://github.com/DaKheera47" + } + }, + { + "id": "cnbk5f0aeqvhx69ebk7hktwd", + "visible": true, + "network": "LinkedIn", + "username": "ssarfaraz30", + "icon": "linkedin", + "url": { + "label": "", + "href": "https://www.linkedin.com/in/ssarfaraz30/" + } + }, + { + "id": "linnyxv78zdep1xwirpa2ia1", + "visible": true, + "network": "Hashnode", + "username": "DaKheera47", + "icon": "hashnode", + "url": { + "label": "", + "href": "https://dakheera47.hashnode.dev/" + } + } + ] + }, + "projects": { + "name": "Projects", + "columns": 1, + "separateLinks": true, + "visible": true, + "id": "projects", + "items": [ + { + "id": "yw843emozcth8s1ubi1ubvlf", + "visible": false, + "name": "Atoro", + "description": "Lead Developer", + "date": "January 2023", + "summary": "
  1. Next.js Implementation for Enhanced SEO: Utilized Next.js to optimize the website for search engines, significantly improving its online visibility and user engagement.

  2. Strapi Backend Integration: Streamlined content management by implementing a Strapi backend, enhancing the efficiency and scalability of the website's content updates.

  3. Responsive Design with Tailwind CSS: Employed Tailwind CSS for a utility-first approach, ensuring the website's responsiveness and seamless user experience across various devices.

  4. Continuous Deployment Pipeline Establishment: Developed a continuous deployment pipeline, ensuring real-time updates and maintaining high performance and reliability of the website.

  5. Optimized Web Performance: Focused on optimizing web performance by efficiently loading images and managing JavaScript bundles, leading to a faster and more efficient user experience.

", + "keywords": [], + "url": { + "label": "", + "href": "https://atoro.promirage.com" + } + }, + { + "id": "ncxgdjjky54gh59iz2t1xi1v", + "visible": false, + "name": "Stellar Consultancy", + "description": "Lead Developer", + "date": "April 2023", + "summary": "
  1. WordPress and Elementor Integration: Expertly utilized WordPress with Elementor to build a robust content management system, enhancing the website's scalability and user interaction capabilities.

  2. Client Engagement and Trust Building: Implemented features to showcase client testimonials, effectively building trust and displaying the success of previous project engagements.

  3. Intuitive Design and User Engagement: Focused on intuitive page design and structuring, streamlining site maintenance and content updates, thereby enhancing user engagement.

  4. Effective Call-to-Actions: Crafted clear call-to-actions and provided essential contact information, significantly improving user interaction and conversion rates.

  5. Portfolio Display for Business Showcase: Presented past work and services offered through a comprehensive portfolio display, allowing visitors to assess the quality and impact of Stellar Consultancy's services.

", + "keywords": [], + "url": { + "label": "", + "href": "https://stellarconsultancy.ca" + } + }, + { + "id": "tcecguinuctb8mu2xqrn97m8", + "visible": true, + "name": "Mumtaz Urdu", + "description": "Developer", + "date": "July 2022", + "summary": "
  1. Server-Rendered Web Application Development: Created the Mumtaz Urdu platform with Next.js to optimize server-side rendering for enhanced SEO and performance.

  2. UI Development with Tailwind CSS: Implemented utility-first Tailwind CSS, ensuring rapid, responsive design for a seamless user interface.

  3. Scalable Storage Solution: Integrated scalable Amazon S3 storage, supporting the application's growth and robust data management.

  4. Progressive Web App Implementation: Developed PWA features for Mumtaz Urdu, offering users native-like mobile access and increased engagement.

  5. High Traffic Data Management: 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.

  6. Test-Driven Development: Embraced TDD practices to ensure reliable and high-quality code, facilitating regular testing throughout the development process for continuous improvement.

", + "keywords": [], + "url": { + "label": "", + "href": "https://www.mumtazurdu.com/" + } + }, + { + "id": "to47h749kaj6t02j3f9kprxq", + "visible": false, + "name": "PyScreeze", + "description": "Open Source Contribution", + "date": "January 2022", + "summary": "
  1. Innovative Feature Implementation: Implemented the locateCenterOnScreenNear function for PyScreeze, enhancing the library's functionality by enabling precise image location near a specified point on the screen.

  2. Open Source Contribution: Marked my debut in open-source contributions with this significant addition to PyScreeze, showcasing my initiative and ability to contribute effectively to community-driven projects.

  3. Collaborative Development and Recognition: Collaborated with the project's maintainer, asweigart, to refine and integrate the function into the main codebase, receiving recognition for this valuable contribution to the project.

", + "keywords": [], + "url": { + "label": "", + "href": "https://github.com/asweigart/pyscreeze/pull/79" + } + }, + { + "id": "gt7yq82ulor5hmmutdhuvfo1", + "visible": false, + "name": "Threegency", + "description": "Lead Developer", + "date": "February 2023", + "summary": "", + "keywords": [], + "url": { + "label": "", + "href": "https://www.threegency.com" + } + }, + { + "id": "c8fcu3nz541a4d5zcurx6b8c", + "visible": false, + "name": "AutoClass", + "description": "GUI Automation", + "date": "November 2021", + "summary": "", + "keywords": [], + "url": { + "label": "", + "href": "https://github.com/DaKheera47/autoclass" + } + }, + { + "id": "rv23bgibq6bye6rujmcx1ygc", + "visible": false, + "name": "Meet Link Generator", + "description": "GUI Automation", + "date": "January 2022", + "summary": "", + "keywords": [], + "url": { + "label": "", + "href": "https://github.com/DaKheera47/meet-link-generator" + } + }, + { + "id": "tu98rghbi5c43ogget5mh7ih", + "visible": false, + "name": "UCLan Server-side Web Application Project", + "description": "", + "date": "UCLan Year 1", + "summary": "", + "keywords": [], + "url": { + "label": "", + "href": "" + } + }, + { + "id": "ov4lkbc1vl169ynfnj91m1lm", + "visible": false, + "name": "Square About", + "description": "", + "date": "UCLan Year 1", + "summary": "", + "keywords": [], + "url": { + "label": "", + "href": "" + } + }, + { + "id": "s3r37gdr0oa84a6dp6r5nl58", + "visible": false, + "name": "Car Smash", + "description": "", + "date": "UCLan Year 1", + "summary": "
  1. 3D Car Smash Game Development: Developed a 3D car smash game using TL-Engine, showcasing skills in game engine utilization and 3D gaming.

  2. Collision Detection Mechanics: Implemented advanced collision detection between player's car and enemy vehicles, enhancing gameplay realism.

  3. Dynamic Game States and Camera Views: Integrated multiple game states and camera views, including a chase camera and first-person view, for an immersive gaming experience.

  4. Enhanced Player Interaction: Created a more realistic driving experience with accelerated movement and bounce effects on collisions, and introduced particle systems for visual effects.

", + "keywords": [], + "url": { + "label": "", + "href": "" + } + }, + { + "id": "gylzkvl103m9s7ywag4xpdy4", + "visible": false, + "name": "Tweet Filter", + "description": "", + "date": "UCLan Year 1", + "summary": "
  1. Tweet Filtration System: Crafted a C++ program to filter out prohibited words from tweets, showcasing text processing and file handling capabilities.

  2. Advanced Text Manipulation: Enhanced the program to filter varying cases and contexts of banned words, even within larger strings, demonstrating attention to detail in string operations.

  3. Output Generation: Implemented functionality to write filtered tweets to new files, maintaining data integrity and displaying proficiency in file I/O operations.

  4. Algorithm Optimization: Utilized data structures like vectors and implemented mathematical techniques for efficient word frequency analysis and sentiment determination.

", + "keywords": [], + "url": { + "label": "", + "href": "" + } + }, + { + "id": "enav754zxhuc9uycbb83s94q", + "visible": false, + "name": "Burger Ordering App", + "description": "", + "date": "UCLan Year 1", + "summary": "
  1. Interactive Console Application: Engineered a C++ console application simulating a burger ordering process, highlighting proficiency in creating user-interactive software.

  2. Complex Logic Implementation: Designed and implemented complex logic for burger size and topping selection, including pricing and order summary features.

  3. Data Handling and User Input: Developed robust credit system and user input validation for an intuitive ordering experience, showcasing attention to detail and user-centric design.

  4. Readable and Maintainable Code: Produced well-documented, maintainable code with clear variable naming and structured formatting, demonstrating best practices in software development.

", + "keywords": [], + "url": { + "label": "", + "href": "" + } + }, + { + "id": "hl6jgeswr01tlul3iwoat05d", + "visible": false, + "name": "LinkLander", + "description": "Android Studio, Kotlin", + "date": "December 2023 - Ongoing", + "summary": "", + "keywords": [], + "url": { + "label": "", + "href": "" + } + }, + { + "id": "v4s0ljbiiio198y8l1wl0ym6", + "visible": false, + "name": "AR App Development with AGILE", + "description": "Unity, C#", + "date": "October 2023 - Ongoing", + "summary": "", + "keywords": [], + "url": { + "label": "", + "href": "" + } + }, + { + "id": "fwxrq682hqrj1y76rmziqrbk", + "visible": true, + "name": "Indus Marine Services", + "description": "System Design & Development", + "date": "May 2022 - Ongoing", + "summary": "
  1. Induction System for Marine Services: Designed & developed an induction system for Indus Marine Services in the UAE, streamlining the employee onboarding process with interactive testing and certification issuance.

  2. Admin-Centric Functionality: Devised a back-end system allowing admins to oversee inductee progress, manage documents, and curate customized quizzes as per requirements

  3. Client Engagement Interface: Implemented a user-friendly front-end where inductees receive personalized email prompts, complete quizzes, and obtain certifications, all contributing to a seamless induction experience.

  4. Robust Tech Stack Integration: Utilized a sophisticated stack comprising Node.js, Express, EJS, and Tailwind CSS to build a responsive, scalable, and easily navigable system.

", + "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": "
  1. Innovative AI Development: 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.

  2. Data-Driven Content Strategy: Leveraged Astro content management capabilities to structure and present data, ensuring content is dynamic, easily accessible, and optimized for both performance and scalability.

  3. Astro for Enhanced Performance: Utilized Astro for static site generation, making VECTOR's website performance fast for a pleasant user experience

  4. React for Responsive Interaction: 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.

", + "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": "
  1. Second Place in UCLan Hackathon: 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.

  2. TRPC for End-to-End Type Safety: Utilized TRPC to ensure end-to-end type safety, enhancing the app's reliability and streamlining the development process.

  3. Supabase Backend Integration: Implemented Supabase as a backend solution, providing a robust and scalable database for managing attendance data efficiently.

  4. Amazon SES and OAuth Integration: Integrated Amazon SES for email notifications and OAuth for secure Google login, improving user experience and communication.

", + "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": "
  1. Full-Stack Integration: Wired up backend services to a responsive frontend, enabling real-time exploration of Kepler/K2/TESS catalogs and smooth model-scoring UX.

  2. Data Harmonization Pipeline: Cleaned, merged, and standardized multi-mission catalogs into a unified schema, unblocking ML teammates and cutting data-prep time by 60%+ during the hack.

  3. Analytics UI & Upload Flow: Built an upload \u2192 validate \u2192 score workflow and a clear results dashboard so researchers can triage candidates in minutes, not hours.

  4. Delivery Under Pressure: Coordinated a 5-person multidisciplinary team to ship a working web app in 48 hours, with demo-ready reliability for judging.

", + "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": "
  1. Self-Hosted Strength Analytics Platform: Developed strong-statistics, an open-source web app that visualizes detailed workout analytics from the Strong and Hevy fitness app, giving users local control of their training data.

  2. Full-Stack Architecture: Built a modular stack with FastAPI, Next.js, Tailwind CSS, and SQLite, deployed via Docker Compose for seamless self-hosting and persistent local data storage.

  3. Active Open-Source Ecosystem: Published on GitHub with community engagement from global users \u2014 external contributors opened feature requests and bug reports, validating real-world adoption and reliability.

  4. Continuous Personal Use & Maintenance: Regularly updated and used in live deployment at lifting.dakheera47.com, tracking hundreds of sets over time with persistent analytics and performance trends.

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Avoid fluff. Avoid long-winded text. +- Include just enough detail to feel real and grounded. +- Gently convey that I care about helping people and doing good work. +- Do NOT invent experience or skills I don't have. +- Maintain a warm, confident, human tone. +- Target THIS specific job directly, so use ATS keywords, while remaining natural. +- Use the profile to add context and details. + +My profile (JSON fields merged): +{json.dumps(profile, indent=2)} + +Job description: +{jd} + +Write the résumé summary now. +""" + + +def _call_openrouter(prompt: str, model: str, api_key: str) -> str: + """Call OpenRouter API to generate text.""" + url = "https://openrouter.ai/api/v1/chat/completions" + + headers = { + "Authorization": f"Bearer {api_key}", + "HTTP-Referer": "http://localhost", + "X-Title": "ResumeSummaryScript", + "Content-Type": "application/json", + } + + payload = { + "model": model, + "messages": [{"role": "user", "content": prompt}], + } + + response = requests.post(url, headers=headers, json=payload) + + if response.status_code != 200: + raise RuntimeError(f"OpenRouter error {response.status_code}: {response.text}") + + data = response.json() + return data["choices"][0]["message"]["content"] + + +def generate_resume_summary( + profile_path: str = "./base.json", + job_description: str = None, + from_clipboard: bool = True, + copy_to_clipboard: bool = True, +) -> str: + """ + Generate a tailored résumé summary using AI. + + Uses the user's profile and a job description to generate a personalized + summary section for a résumé, targeting the specific job. + + Args: + profile_path: Path to the profile JSON file + job_description: Job description text (if None, uses from_clipboard/path) + from_clipboard: If job_description is None, read JD from clipboard + copy_to_clipboard: If True, copy the generated summary to clipboard + + Returns: + The generated résumé summary text + """ + load_dotenv() + + api_key = os.getenv("OPENROUTER_API_KEY") + model = os.getenv("MODEL", "openai/gpt-4o-mini") + + if not api_key: + raise RuntimeError("Missing OPENROUTER_API_KEY in .env") + + profile = load_profile(profile_path) + + if job_description is None: + jd = load_job_description(from_clipboard=from_clipboard) + else: + jd = job_description + + prompt = _build_prompt(profile, jd) + summary = _call_openrouter(prompt, model, api_key) + + if copy_to_clipboard: + pyperclip.copy(summary) + + return summary + + +if __name__ == "__main__": + summary = generate_resume_summary() + + print("\n=== Generated Summary ===\n") + print(summary) + print("\n[Summary copied to clipboard]\n") diff --git a/resume-generator/rxresume_automation.py b/resume-generator/rxresume_automation.py new file mode 100644 index 0000000..3b12560 --- /dev/null +++ b/resume-generator/rxresume_automation.py @@ -0,0 +1,105 @@ +""" +Automate RXResume (rxresu.me) to import resume and export PDF using Playwright. +""" + +import os +from pathlib import Path +from playwright.sync_api import sync_playwright + +# Configuration +RXRESUME_EMAIL = os.getenv("RXRESUME_EMAIL", "ssarfaraz@lancashire.ac.uk") +RXRESUME_PASSWORD = os.getenv("RXRESUME_PASSWORD", "thisisatestpassword") + +BASE_DIR = Path(__file__).parent +RESUME_JSON_PATH = BASE_DIR / "base.json" +OUTPUT_DIR = BASE_DIR / "resumes" + + +def login(page): + """Log in to RXResume.""" + page.goto("https://rxresu.me/auth/login") + page.fill('input[placeholder="john.doe@example.com"]', RXRESUME_EMAIL) + page.fill('input[type="password"]', RXRESUME_PASSWORD) + page.click('button:has-text("Sign in")') + page.wait_for_url("**/dashboard/resumes", timeout=15000) + page.click('button:has-text("List")') + + +def import_resume(page, json_path: Path): + """Import a resume JSON file.""" + page.click('h4:has-text("Import")') + page.set_input_files('input[type="file"]', str(json_path)) + page.click('button:has-text("Validate")') + page.click('button:has-text("Import")') + + +def navigate_to_top_resume(page): + """Navigate to the first resume in the editor.""" + if "/dashboard/resumes" not in page.url: + page.goto("https://rxresu.me/dashboard/resumes") + page.wait_for_load_state("networkidle") + + # wait a beat for the list to update + page.wait_for_timeout(1000) + page.click('span[data-state="closed"]:first-of-type div:first-of-type') + page.wait_for_url("**/builder/**", timeout=10000) + + +def export_pdf(page, output_path: Path) -> Path: + """Export the resume as PDF.""" + page.wait_for_timeout(1500) # Wait for builder to fully load + + selector = "div.inline-flex.items-center.justify-center.rounded-full.bg-background.px-4.shadow-xl button:last-of-type" + + with page.expect_download(timeout=30000) as download_info: + page.click(selector) + + download = download_info.value + output_path.parent.mkdir(parents=True, exist_ok=True) + download.save_as(str(output_path)) + return output_path + + +def generate_resume_pdf( + output_filename: str = "resume.pdf", + import_json: bool = False, + json_path: Path = None, +) -> Path: + """ + Import resume and export PDF. + + Args: + output_filename: Name of the output PDF file + import_json: Whether to import a JSON file first + json_path: Path to JSON file (if import_json is True) + + Returns: + Path to the generated PDF + """ + output_path = OUTPUT_DIR / output_filename + + with sync_playwright() as playwright: + browser = playwright.chromium.launch(headless=False) + context = browser.new_context() + page = context.new_page() + + try: + login(page) + + if import_json: + import_resume(page, json_path or RESUME_JSON_PATH) + + navigate_to_top_resume(page) + export_pdf(page, output_path) + finally: + browser.close() + + return output_path + + +if __name__ == "__main__": + pdf_path = generate_resume_pdf( + output_filename="test_resume.pdf", + import_json=True, + ) + print(f"PDF saved: {pdf_path}")