ConfidenceLab - AI Interview Analysis
AI-powered interview preparation platform with real-time confidence analysis through facial emotions, speech patterns, and body language.
AI/Computer VisionSpeech RecognitionMini Project
The Problem
Help job seekers improve interview performance through AI-powered analysis of confidence indicators from multiple modalities (face, speech, body language).
The Solution
Built full-stack application with React/TypeScript frontend and FastAPI/Python backend. Integrates DeepFace for facial emotion analysis, Vosk for speech recognition, MediaPipe for body language detection, and custom algorithms for confidence scoring. Implements multi-modal analysis combining all three channels into overall confidence metrics with detailed breakdowns.
Tech Stack
ReactTypeScriptFastAPIPythonDeepFaceVoskMediaPipeOpenCV
Key Features
- Multi-Modal Analysis combining facial, speech, and body language recognition
- Real-Time Feedback with live confidence scores during recording
- Interview-Specific Practice for HR, Technical, and Behavioral interviews
- Progress Tracking with detailed session history and analytics
- Facial Confidence Analysis (eye contact, tension, smile authenticity)
- Speech Confidence Metrics (hesitation, tone, clarity, pace)
- Body Language Assessment (posture, gestures, openness)
- LeetCode-Style Interface with professional distraction-free layout