Job Analyzer

An AI-powered web application that automatically finds and analyzes job postings against your professional profile to provide intelligent matching recommendations, skill gap analysis, and personalized interview tips.

Features

• Automatic Job Search: Finds remote USA jobs matching your profile title and skills — scored and ranked automatically
• Resume Auto-fill: Upload a PDF resume to automatically extract and structure your profile data
• Multi-input Job Analysis: Analyze jobs via pasted text, PDF upload, or URL scraping
• Qualification Scoring: Get a 0-100 match score with color-coded ratings (only jobs ≥75 shown)
• Skills Analysis: See matching skills (green) vs. missing skills (red)
• Apply Verdict: Clear YES/NO recommendation with reasoning
• Salary Assessment: Compare job compensation against your expectations
• Red/Green Flags: Identify potential concerns and positive indicators
• Interview Tips: Personalized preparation advice based on the job requirements
• Export to PDF: Export any analysis result to PDF directly from the browser

Tech Stack

• Backend: FastAPI, Uvicorn, Pydantic
• AI: Claude
• Frontend: HTML5, CSS3, Vanilla JavaScript
• Data Processing: BeautifulSoup4, pypdf

Prerequisites

• Python 3.7+
• Claude API key

Installation

1. Clone the repository:

   git clone https://github.com/rlanier-webdev/ai-job-analyzer.git
   cd ai-job-analyzer

2. Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Create a .env file from the example:

   cp .env.example .env

5. Add your Claude API key to .env:

   ANTHROPIC_API_KEY=your-api-key-here
   

Usage

1. Start the server:

   python main.py

2. Open your browser to http://127.0.0.1:5003

3. Set up your profile:

   • Click "Auto-fill from Resume (PDF)" to upload your resume, OR
   • Click "Edit Manually" to enter your information

4. Find jobs automatically:

   • Click "Find Jobs for Me" to search for remote USA jobs matching your profile
   • Results are scored by Claude and ranked — only matches ≥75% shown
   • Click "Full Analysis" on any result for a deep-dive, or "View Posting" to open the original

5. Analyze a specific job posting:

   • Choose input method (Paste Text / Upload PDF / Enter URL)
   • Provide the job posting content
   • Click "Analyze Job"

6. Review your results including qualification score, skill matches, and recommendations

7. Click Export PDF to save the analysis results to a PDF file

Project Structure

job-analyzer/
├── main.py              # Entry point - starts Uvicorn server
├── index.html           # Single-page application UI
├── requirements.txt     # Python dependencies
├── .env.example         # Environment template
├── profile.example.json # Sample profile structure
├── src/
│   ├── web.py          # FastAPI routes & endpoints
│   ├── parser.py       # Job posting extraction logic
│   ├── analyzer.py     # Job-profile matching analysis
│   ├── profile.py      # Profile data model & management
│   └── searcher.py     # Automatic job search (Remotive API)
└── static/
    ├── styles.css      # UI styling
    └── scripts.js      # Frontend JavaScript

API Endpoints

Method	Endpoint	Description
GET	/	Serve the web application
GET	/api/profile	Get current profile
POST	/api/profile	Save profile manually
POST	/api/profile/upload-resume	Parse resume PDF and create profile
POST	/api/analyze/{mode}	Analyze job (mode: text, pdf, or url)
POST	/api/search	Search for jobs matching the current profile

Configuration

• Profile Storage: Your profile is saved to profile.json and automatically loaded on startup
• Server: Runs on 127.0.0.1:5003 (localhost only)
• Job Search: Powered by Remotive API — free, no API key required. Searches remote USA-eligible jobs and filters results to ≥75% match score.

Screenshots

License

MIT