AI-Powered Job Discovery, Curation and Publishing Platform
CareerUpdates automatically extracts job information from official career pages, cleans polluted content, generates AI-powered summaries, SEO metadata and publishes curated job listings.
Experience the platform live:
View Application Screenshots
Homepage
Job Details
Admin Dashboard
New Job/AI Import
Database Audit System
AI Settings & Configuration
- Job Listings: Browse curated job opportunities with fast, seamless navigation.
- Search: Instant, type-ahead search to find the perfect role.
- SEO Pages: Optimized routing and metadata for every listing.
- Responsive Design: Flawless experience across mobile, tablet, and desktop.
- Job Detail Pages: Comprehensive views with AI-generated summaries.
- Social Sharing: Easily share jobs with Open Graph image support.
- AI Job Import: Simply paste a URL and let AI do the rest.
- Bulk Import: Process multiple URLs or CSVs simultaneously.
- Database Audit: Identify broken links or low-quality listings.
- Re-clean Descriptions: Fix formatting issues with a single click.
- AI Summary Regeneration: Update outdated summaries dynamically.
- SEO Metadata Generation: Auto-create titles, descriptions, and tags.
- Job Extraction: Pull structured data from unstructured career pages.
- Content Cleaning: Remove tracking pixels, boilerplate, and HTML clutter.
- Markdown Normalization: Standardize job descriptions into clean Markdown.
- Summary Generation: Provide tl;dr bullet points for quick scanning.
- Meta Description Generation: Optimize descriptions for search engines.
- Tag Generation: Automatically categorize jobs by skills and roles.
graph LR
A[User] --> B[Frontend]
B --> C[TanStack Start]
C --> D[Server Functions]
D --> E[OpenAI API]
D --> F[(Supabase)]
F --> B
graph TD
A[Official Job URL] --> B[Extraction Phase]
B --> C[Content Cleaning]
C --> D[Markdown Normalization]
D --> E[AI Structuring & Analysis]
E --> F[Generate Meta Data]
F --> G[(Database Save)]
Note: For more details, see the Architecture Documentation and AI Pipeline Documentation.
| Category | Technology | Description |
|---|---|---|
| Frontend | React, TanStack Start | Fast, reactive UI with file-based routing |
| Backend | Server Functions | Serverless logic integrated with routing |
| Database | Supabase (PostgreSQL) | Scalable backend with real-time capabilities |
| Authentication | Supabase Auth | Secure, session-based user management |
| AI | OpenAI (GPT-4) | Intelligent extraction, cleaning, and formatting |
| Deployment | Vercel | Global edge network for zero-config deployments |
careerupdates/
├── app/
│ ├── routes/
│ │ ├── admin/ # Protected admin dashboard and tools
│ │ ├── jobs/ # Public job detail pages
│ │ ├── index.tsx # Homepage
│ │ └── __root.tsx # Root layout
│ ├── components/ # Reusable UI components
│ ├── server/ # Server functions & API routes
│ └── utils/ # Helper functions & AI utilities
├── public/ # Static assets
├── docs/ # Documentation & diagrams
├── .env.example # Environment variables template
├── package.json
└── tsconfig.json
To run this project locally, you will need to add the following environment variables to your .env file:
| Variable | Description |
|---|---|
VITE_SUPABASE_URL |
Public URL for the Supabase project (used by client) |
VITE_SUPABASE_PUBLISHABLE_KEY |
Public API key for Supabase (used by client) |
SUPABASE_URL |
Private URL for the Supabase project (used by server) |
SUPABASE_PUBLISHABLE_KEY |
Private API key for Supabase (used by server) |
OPENAI_API_KEY |
Your OpenAI API key for data extraction and cleaning |
AI_GATEWAY_API_KEY |
API key for the AI Gateway provider (if using the default provider) |
-
Clone the repository
git clone https://github.com/nithingoud78/CareerUpdates.git cd CareerUpdates -
Install dependencies
npm install
-
Set up environment variables
cp .env.example .env # Add your keys to the .env file -
Run the development server
npm run dev
-
Open your browser Navigate to
http://localhost:3000
npm run buildThis project is optimized for deployment on Vercel.
- Push your code to GitHub.
- Import the project in Vercel.
- Add the environment variables in the Vercel dashboard.
- Deploy!
Note: For comprehensive deployment instructions, view the Deployment Guide.
Maintaining high-quality job listings is crucial. CareerUpdates features a robust Database Audit System built right into the admin panel:
- Quality Scoring: AI evaluates and scores the completeness of every listing.
- Broken Jobs: Automatically flags URLs that return 404s or have expired.
- Suspicious Jobs: Identifies potentially fraudulent or low-effort postings.
- Clean Jobs: Distinguishes fully formatted, high-quality records.
- Re-clean Description: A one-click utility to fix markdown formatting or re-generate summaries for legacy listings.
Built from the ground up for search engine visibility:
- Open Graph Support: Dynamically generated OG images and tags for Twitter/LinkedIn sharing.
- Dynamic Meta Tags: AI-generated SEO titles and descriptions for every job page.
- Sitemap Generation: Automated
sitemap.xmlfor instantaneous indexing. - Robots.txt: Optimized crawler directives.
- Structured Data: JSON-LD JobPosting schema injected into every listing.
- Route-level Code Splitting: Only loads the JS required for the current page.
- Lazy-loaded Admin Pages: Heavy admin dependencies never pollute the public bundle.
- Server-Side Rendering (SSR): Instant first paint and perfect SEO.
- Static Assets: Cached efficiently at the edge.
- User Accounts: Allow job seekers to create profiles.
- Saved Jobs: Let users bookmark interesting positions.
- Job Alerts: Email notifications for specific keywords or roles.
- Telegram Automation: Auto-post new, high-quality jobs to a Telegram channel.
- Analytics Dashboard: Insights on job views, clicks, and applications.
Nithin Goud
- GitHub: @nithingoud78
This project is licensed under the MIT License - see the LICENSE file for details.