AI Video Interview Software is a complete, source-code-included video interview system that combines artificial intelligence with modern recruitment workflows. Built with Python FastAPI and React TypeScript, this software automates candidate evaluation through multi-modal AI analysis including speech-to-text transcription, real-time sentiment detection, facial expression recognition, and intelligent answer scoring. The system includes 300 pre-loaded interview questions across 10 job roles, WebRTC-based video recording, and a comprehensive analytics dashboard with PDF and CSV export capabilities.
Designed for recruitment agencies, HR departments, staffing firms, and SaaS entrepreneurs, the software ships with all source code, database schemas, AI training scripts, and deployment documentation. You receive a PostgreSQL-backed backend with JWT authentication, role-based access control, and a Material-UI frontend with responsive design. Training data leverages synthetic data generation techniques to improve model coverage and protect user privacy, including 1000 sentiment-labeled samples, 100 answer evaluations, and a curated question bank. The package includes over 200 files totaling 18,600 lines of production code, plus installation guides, API documentation, user manuals, and deployment instructions for local, server, Docker, and cloud environments.
Key capabilities include automated video processing with FFmpeg, AI-powered question generation using retrieval-augmented generation, multi-dimensional answer quality scoring, sentiment progression tracking, competency analysis, and candidate comparison reports. Security features include bcrypt password hashing, SQL injection protection via SQLAlchemy ORM, secure file uploads with validation, and configurable CORS policies. The system requires Python 3.11+, Node.js 18+, PostgreSQL 15+, and recommended minimum hardware of 4 CPU cores and 8GB RAM; GPU acceleration is optional but recommended for AI workloads.
You may customize and deploy this software to build your own commercial recruitment service, white-label solution, or internal HR tool. Technical documentation covers database setup, environment configuration, model training, production deployment with Nginx and SSL, and troubleshooting for common integration scenarios. Basic development skills in Python and JavaScript are required for setup, customization, and maintenance.
