AI Powered Job Matching
codeOur project is an AIbased job matching system designed for job seekers. Users upload their CVs, and the system analyzes their skills, education, and experience using Artificial Intelligence. It then searches for relevant job opportunities and notifies users when matching jobs become available. The goal is to reduce the time spent searching for jobs and help people find opportunities that fit their qualifications more effectively. AI Job Matching System An intelligent job matching platform that uses artificial intelligence to connect job seekers with relevant opportunities based on their skills, experience, and preferences. 🚀 Features For Job Seekers Smart CV Analysis: AIpowered extraction of skills, experience, and qualifications from your CV Intelligent Job Matching: Semantic matching algorithms to find the best job opportunities Personalized Recommendations: Tailored job suggestions based on your profile Application Tracking: Monitor your application status and get notified of updates Skill Gap Analysis: Identify skills you need to develop for your dream jobs For Employers Automated Candidate Screening: AIpowered ranking of candidates based on job requirements Market Intelligence: Salary benchmarking and skill availability analysis Streamlined Hiring: Integrated tools for managing the recruitment process Quality Candidates: Access to prequalified, matched candidates 🏗️ Architecture The system consists of three main components: Frontend (Next.js + TypeScript + Tailwind CSS) Modern, responsive user interface Realtime updates and notifications Mobilefriendly design Typesafe development with TypeScript Backend (Python + FastAPI) RESTful API with comprehensive endpoints AI/MLpowered processing pipeline Secure authentication with JWT Scalable architecture Job Collector Automated job aggregation from multiple sources Data cleaning and deduplication Scheduled execution Extensible source integrations 📋 Prerequisites Python 3.11+ Node.js 18+ Docker (optional, for containerized deployment) 🛠️ Installation Quick Setup (Recommended) Use the provided setup scripts to quickly set up the entire project: Linux/Mac: Windows: Manual Setup Backend Setup 1. Navigate to the backend directory: 2. Create a virtual environment: 3. Install dependencies: 4. Set up environment variables: 5. Initialize the database: 6. Run the backend server: Frontend Setup 1. Navigate to the frontend directory: 2. Install dependencies: 3. Run the development server: The frontend will be available at Job Collector Setup 1. Navigate to the job collector directory: 2. Create a virtual environment: 3. Install dependencies: 4. Run the job collector: 🐳 Docker Deployment For easy deployment, use Docker Compose: This will start: Backend API on port 8000 Frontend on port 3000 PostgreSQL database Job collector service 📖 API Documentation Comprehensive API documentation is available in the file. Key endpoints: Authentication: User Management: CV Management: Jobs: Matching: Notifications: 🤖 AI Components The system uses several AI/ML components: CV Analysis: Extracts structured information from unstructured CV text Skill Extraction: Identifies and categorizes skills from CV text Job Analysis: Analyzes job descriptions to extract requirements Semantic Matching: Calculates compatibility between CVs and jobs Text Embeddings: Generates vector representations for semantic analysis Match Ranking: Ranks and filters job matches for optimal results Detailed documentation is available in . 🗄️ Database The system uses SQLite by default (for development) and can be configured to use PostgreSQL for production. Database Schema User accounts and profiles User uploaded CVs Job postings Skills catalog Job matching results User notifications Migrations Database migrations are managed in the directory. Run migrations: Seed the database with sample data: 🔧 Configuration Backend Configuration Edit to configure: Database connection JWT settings File upload settings AI/ML API keys Email/SMS settings Frontend Configuration Edit and environment variables to configure: API endpoints Feature flags Analytics settings 🧪 Testing Backend Tests Frontend Tests Run All Tests 📚 Documentation System Architecture) API Documentation) AI Model Documentation) Ideation Process) 🤝 Contributing Contributions are welcome! Please follow these steps: 1. Fork the repository 2. Create a feature branch ) 3. Commit your changes ) 4. Push to the branch ) 5. Open a Pull Request � License This project is licensed under the MIT License. 🙏 Acknowledgments Built with modern web technologies Inspired by the need for intelligent job matching Uses opensource AI/ML libraries 📞 Support For support, please open an issue in the GitHub repository or contact the development team. 🗺️ Roadmap Phase 1: Foundation (Current) ✅ Basic authentication ✅ CV upload and analysis ✅ Job collection system ✅ Basic matching algorithm ✅ User dashboard