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Prerequisites: Node.js

  1. Install dependencies: npm install
  2. Set the GEMINI_API_KEY in .env.local to your Gemini API key
  3. Run the app: npm run dev

Backend (optional, recommended for RAG and verification)

This repo now includes a lightweight Python backend under backend/ that implements RAG, agents, verification, and demo mode.

  1. Start the backend (see backend/README.md).
  2. Set VITE_BACKEND_URL in your .env or environment to http://localhost:8000 so the frontend will call the local backend.

If no OPENAI_API_KEY is present the backend runs in demo mode using precomputed canned outputs.

About

CareerPath-Gen is an AI-driven application that analyzes a candidate’s resume, evaluates role-fit for selected career paths, identifies missing skills, and generates a personalized 12-week learning roadmap using advanced Generative AI concepts. This project demonstrates end-to-end Generative AI system design, including: (RAG)

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