AI-Powered Employee Profile Curation

A multi-agent AI web application built with FastAPI, LangGraph, Vite, and Vanilla JS. It curates a user's master resume against a specific job description to maximize ATS match scores.

Project Structure

• backend/: FastAPI application containing the LangGraph multi-agent workflow.
• frontend/: Vite application with a modern Vanilla CSS design.

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🚀 How to Start the Services

1. Configure Environment Variables

You need to provide your Gemini API key to run the AI agents.

1. Navigate to the backend/ directory.
2. Open the .env file.
3. Replace the placeholder with your actual key:

GEMINI_API_KEY=your_actual_api_key_here

2. Start the Backend

Open a terminal and run the following commands:

cd backend
source venv/bin/activate
uvicorn main:app --reload --port 8000

The backend API will be running at http://localhost:8000

3. Start the Frontend

Open a new terminal and run the following commands:

cd frontend
npm install
npm run dev

The frontend UI will be running at http://localhost:5173

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🧪 Testing the Application

1. Open your browser and go to http://localhost:5173.
2. Register a new user (e.g., test@example.com / password123).
3. Under the "Your Master Resume" section, upload a sample PDF resume.
4. Under the "Tailor for a New Job" section, paste a job URL or raw text description.
5. Click Start AI Curation. The background agents will iterate over your resume until it hits >95% match with the provided job description!