JobNexus

AI-powered job matching platform with resume analysis, LinkedIn job scraping, and voice-based mock interviews.

Features

• Resume Analysis: Upload PDF resumes for AI-powered skill extraction and profile building
• Job Matching: Scrape LinkedIn jobs based on user preferences and match with resume profiles
• Mock Interviews: Voice-based AI interviews with real-time feedback using LiveKit
• Dashboard Analytics: Track interview scores, saved jobs, and employee outreach
• Conversational AI: Chat interface powered by Google Gemini and LangGraph

Project Structure

JobNexus/
├── app/                          # Next.js frontend
├── backend/                      # Python FastAPI backend
├── JobNexusAIInterview/         # Voice AI interview module
└── README.md

Tech Stack

Frontend

• Next.js 16 (Turbopack)
• React 19
• TypeScript
• Tailwind CSS
• Supabase (Auth & Storage)
• ECharts (Visualizations)
• LiveKit (Voice AI)

Backend

• Python 3.12
• FastAPI
• LangGraph (AI Workflows)
• Google Gemini 2.5 Flash
• Pinecone (Vector Database)
• Supabase
• Playwright (Web Scraping)

Quick Start

Prerequisites

• Node.js 18+
• Python 3.12+
• Supabase account
• Google AI API key
• Pinecone account
• LiveKit account (for voice interviews)

Frontend Setup

cd app
npm install
cp .env.local.example .env.local
# Add your environment variables
npm run dev

Backend Setup

cd backend
pip install -r requirements.txt
# or use uv
uv sync
cp .env.example .env
# Add your environment variables
python main.py

Voice AI Setup

cd backend/voiceAI
uv sync
# Configure LiveKit credentials
python src/agent.py

Environment Variables

Frontend (.env.local)

NEXT_PUBLIC_SUPABASE_URL=your_supabase_url
NEXT_PUBLIC_SUPABASE_ANON_KEY=your_supabase_anon_key
LIVEKIT_URL=your_livekit_url
LIVEKIT_API_KEY=your_livekit_api_key
LIVEKIT_API_SECRET=your_livekit_api_secret

Backend (.env)

SUPABASE_URL=your_supabase_url
SUPABASE_API_KEY=your_supabase_service_key
GOOGLE_API_KEY=your_google_ai_api_key
PINECONE_API_KEY=your_pinecone_api_key
PINECONE_INDEX_NAME=your_index_name

API Endpoints

Chat API

• POST /chat/initiate - Start new conversation
• GET /chat/continue - Continue existing conversation
• GET /chat/health - Health check

Voice Interview API

• POST /api/connection-details - Get LiveKit connection details

Architecture

User → Next.js Frontend → FastAPI Backend → LangGraph Agents
         ↓                                      ↓
    Supabase Auth                    Gemini AI + Pinecone
                                            ↓
                                  LinkedIn Job Scraper

Voice Interview: Next.js → LiveKit → Python Voice Agent

Workflow

1. Resume Upload: User uploads PDF → Stored in Supabase
2. Profile Extraction: AI extracts skills, experience, education
3. Embedding Generation: Create vector embeddings → Store in Pinecone
4. Job Scraping: Scrape LinkedIn based on preferences
5. Job Matching: Match jobs with user profile
6. Mock Interview: Voice-based AI interview with feedback

Development

Frontend

cd app
npm run dev      # Development server
npm run build    # Production build
npm run lint     # Lint code

Backend

cd backend
python main.py   # Start FastAPI server (port 8000)

License

See LICENSE file for details.

Contributing

1. Fork the repository
2. Create feature branch (git checkout -b feature/amazing-feature)
3. Commit changes (git commit -m 'Add amazing feature')
4. Push to branch (git push origin feature/amazing-feature)
5. Open Pull Request