AI Recruitment Software is a complete, production-ready application that streamlines hiring through artificial intelligence. This full-stack platform automatically parses resumes, matches candidates to jobs using semantic embeddings, ranks applicants with multi-factor scoring, and generates role-specific interview questions. Built with Python FastAPI and React TypeScript, it provides a modern dashboard for managing candidates, job postings, applications, and hiring analytics.
The system includes 550 synthetic resume examples, 350 job descriptions, and 1,200 candidate-job matching pairs used for training and testing the AI models. This synthetic data improves coverage across diverse roles and industries while protecting user information. You receive all source code (12,500+ lines across 83 files), six AI modules (resume parser, semantic matcher, ranker, question generator, insights analyzer, embeddings), complete documentation (installation, API reference, deployment guide, troubleshooting), and automated setup scripts for Windows and Unix systems. The commercial license allows you to deploy the application for your business, modify it for internal use, and build new closed-source products or services including SaaS offerings for your customers.
Key capabilities include AI-powered extraction of structured data from PDF, DOCX, and TXT resumes; semantic job matching using sentence transformers and cosine similarity; intelligent candidate ranking considering skills, experience, and education; automatic generation of technical and behavioral interview questions; candidate insights analysis; job posting management; application workflow tracking; analytics dashboard with hiring metrics; JWT authentication; and support for SQLite development or PostgreSQL production databases. The frontend uses Material-UI components, Zustand state management, form validation, file upload with drag-and-drop, and data visualization charts. The backend provides RESTful APIs with comprehensive Swagger documentation, rate limiting, CORS configuration, and secure password hashing.
Requirements include Python 3.11 or higher, Node.js 18 or higher, and basic technical knowledge for deployment and configuration. The system runs on Windows, Mac, or Linux. Installation involves running automated scripts or following manual setup instructions to install dependencies, configure environment variables, initialize the database, and start the backend and frontend servers. Documentation covers local development setup, production deployment with Nginx, Docker options, database migration from SQLite to PostgreSQL, security hardening, and common troubleshooting scenarios.
