JobFy is a modern, AI-integrated job search and application management platform designed to streamline the career journey. By leveraging advanced Large Language Models (LLMs) and a sleek, responsive interface, JobFy transforms how candidates find and apply for opportunities.

🔗 Live Demo

• Resume-to-Profile Extraction: Upload a PDF or paste text, and use Google Gemini AI to automatically extract skills, experience, education, and projects into a structured profile.
• Smart Job Ranking: Every job is analyzed against your profile using a specialized AI Agent (FastAPI backend) to provide a match percentage and detailed explanation of why it fits (or where the gaps are).
• Automated Application Queue: Let the AI Agent handle the application process for you. Rank jobs, add them to your queue, and apply automatically with optimized payloads.

• Unified Job Board: Access job listings from multiple sources, including a dedicated portal backend and real-time agent-aggregated data.
• Comprehensive Profile Builder: A multi-tab, intuitive profile management system covering everything from personal branding to detailed project proofs.
• Application Tracking: Monitor your application status, maintain history, and view AI-generated insights for every job you've applied to.

• Modern UI/UX: Built with a "premium first" philosophy using Tailwind CSS, featuring glassmorphism, smooth transitions, and a clean aesthetic.
• Responsive Design: Optimized for everything from large desktops to mobile devices.
• Dark/Light Mode Ready: Clean, professional color palette optimized for long browsing sessions.

Landing Page	Job Search

Profile Management	AI Insights

• Framework: React 19 + Vite
• Styling: Tailwind CSS
• State & Auth: Firebase (Authentication & Firestore)
• Icons: Lucide React
• PDF Processing: PDF.js
• AI Integration: Google Gemini API (Client-side parsing)

• Framework: FastAPI (Python)
• AI Engine: Together AI & Custom Ranking Agents
• Hosting: Hugging Face Spaces (Portal) / Local (Agent API)
• Data Fetching: JSearch (RapidAPI)

JobFy/
├── src/
│   ├── components/     # Reusable UI components
│   ├── config/         # Firebase and other service configs
│   ├── context/        # Auth and Global State
│   ├── pages/          # Main application views (Landing, Jobs, Profile, etc.)
│   ├── services/       # API integration layers (Agent & Portal)
│   └── assets/         # Styles and static assets
├── job_search/         # Python FastAPI Backend (Agent API)
│   ├── agents/         # AI Tooling and LLM logic
│   └── data/           # Local storage for agent operations
└── public/             # Static files

• Node.js (v18+)
• Python (3.9+)
• Firebase Account
• Google Gemini API Key
• Together AI API Key (for backend)

1. Clone the repository

   git clone https://github.com/Anuj-kumar-in/JobFy.git
   cd JobFy

2. Frontend Setup

   npm install
   # Create a .env file based on .env.example
   npm run dev

3. Backend Setup (Agent API)

   cd job_search
   pip install -r requirements.txt
   # Set environment variables (TOGETHER_API_KEY, PORTAL_API)
   python agent_api.py

Create a .env file in the root directory:

VITE_FIREBASE_API_KEY=your_key
VITE_FIREBASE_AUTH_DOMAIN=your_domain
VITE_FIREBASE_PROJECT_ID=your_id
VITE_FIREBASE_STORAGE_BUCKET=your_bucket
VITE_FIREBASE_MESSAGING_SENDER_ID=your_id
VITE_FIREBASE_APP_ID=your_id

VITE_GEMINI_API_KEY=your_gemini_key
VITE_JOB_PORTAL_API=https://krishnasimha-portal-backend.hf.space
VITE_JOB_AGENT_API=http://localhost:8000

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