AI Job Search Assistant

https://www.youtube.com/watch?v=IPR4eQ1Fzfs http://job-analyzer-alb-38879773.us-east-1.elb.amazonaws.com

A comprehensive AI-powered job search assistant that helps you systematically prepare for job applications, from skill analysis to research paper exploration, serving as your intelligent companion in the job search journey.

✨ Core Features

📊 Job Analysis

• 🔗 Automatically scrape latest positions from OpenAI and Anthropic
• 💰 Salary range analysis and sorting
• 🛠 Skill requirement statistics and trends
• 🏢 Company comparison analysis

🎓 Research Center (Core Feature)

• 📚 Research Papers: One-click scraping of latest papers from OpenAI/Anthropic to understand cutting-edge technology
• 🔗 Job Linking: Connect papers with job positions to prepare interview talking points
• 💡 Personal Insights: Record thoughts, experiences, and learning notes for each position
• 🎯 Skill Gap Analysis: AI analyzes the gap between your skills and job requirements, providing learning suggestions
• 🛠 Job Resource Library: Collect and manage videos, articles, tools, and other job-related resources

🎯 Intelligent Analysis

• 🤖 GPT-4 powered skill gap analysis
• 📈 Personalized learning path recommendations
• 🎪 Skill matching score

Quick Start

1. Clone the Project

git clone https://github.com/yourusername/job-analyzer.git
cd job-analyzer

2. Install Dependencies

npm install
# or
yarn install

3. Configure Environment Variables

Copy .env.local.example to .env.local and fill in your API keys:

cp .env.local.example .env.local

Edit .env.local:

OPENAI_API_KEY=your_openai_api_key
NEXT_PUBLIC_SUPABASE_URL=your_supabase_url (optional)
SUPABASE_ANON_KEY=your_supabase_anon_key (optional)

4. Setup Database

If you want to use database functionality:

1. Register for a Supabase account
2. Create a new project
3. Run the following SQL files in order in the SQL Editor:
   • database/schema.sql (basic table structure)
   • database/research-schema.sql (research feature tables)
   • database/job-resources-schema.sql (job resource tables)
4. Add your Supabase URL and keys to .env.local

5. Start Development Server

npm run dev
# or
yarn dev

Visit http://localhost:3000 to view the application.

Deploy to Vercel

1. Push code to GitHub
2. Import your repository on Vercel
3. Configure environment variables
4. Click deploy

Tech Stack

• Frontend: Next.js, React, TypeScript, Tailwind CSS
• Backend: Next.js API Routes
• AI: OpenAI GPT-3.5
• Database: Supabase (PostgreSQL)
• Deployment: Vercel

Project Structure

job-analyzer/
├── pages/
│   ├── api/
│   │   └── analyze.ts    # Job analysis API
│   ├── _app.tsx
│   ├── _document.tsx
│   └── index.tsx         # Main page
├── lib/
│   └── supabase.ts       # Database connection
├── database/
│   └── schema.sql        # Database schema
├── styles/
│   └── globals.css       # Global styles
└── package.json

Cost Estimation

• Vercel: Free tier
• Supabase: Free tier
• OpenAI API: ~$10-50/month (depending on usage)
• Domain: $12/year

Total: < $50/month

🎯 Use Cases

Preparing for Top AI Companies

1. Research Company Direction: Scrape latest papers to understand company research focus
2. Analyze Job Requirements: Use AI to analyze skill gaps and create learning plans
3. Collect Learning Resources: Build personal job search resource library
4. Record Learning Insights: Systematically document interview preparation process

Systematic Skill Enhancement

1. Skill Inventory: Comprehensive analysis of current capability level
2. Comparative Analysis: Understand different companies' requirements for the same skills
3. Resource Integration: Collect highest quality learning resources
4. Progress Tracking: Record learning progress and effectiveness

🆕 Latest Features

Research Center

• ✅ Paper scraping and management
• ✅ Job-paper linking
• ✅ Personal insights and notes
• ✅ AI skill gap analysis
• ✅ Job resource bookmarks

Data Management

• ✅ Supabase cloud storage
• ✅ Local data caching
• ✅ User data isolation

🚀 Future Plans

Near-term Features

• Interview question bank and answer preparation
• Job application progress tracking and reminders
• Resume keyword optimization suggestions
• LeetCode practice progress management

Future Vision

• Job search community and experience sharing
• AI mock interviews and feedback
• Salary negotiation strategy advice
• Career development path planning

Contributing

Welcome to submit Pull Requests or create Issues!

License

MIT

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About the Developer

Huixu - Full-Stack Developer
📧 Contact: [email protected]
🌍 Status: Currently seeking opportunities in the United States
💼 Open to: Full-Stack, Backend, or Frontend roles

© 2024 Job Analyzer. Built with ❤️ by Huixu