AI-powered mock interview platform with speech analysis, webcam monitoring, real-time interview analytics, and automated candidate performance evaluation.
AI-Smart-Interview-Assistant is an intelligent interview simulation platform designed to help users practice technical and HR interviews in a real-time environment. The system integrates speech processing, computer vision, and analytics to evaluate candidate performance and provide automated feedback.
The platform monitors user interaction through webcam analysis, speech-to-text processing, and real-time behavioral tracking to improve interview preparation and communication skills.
- AI-powered mock interview simulation
- Real-time webcam monitoring
- Speech-to-text processing
- Interview performance analytics
- Candidate behavior analysis
- Automated feedback generation
- Real-time dashboard
- Facial activity monitoring
- Interactive question-answer workflow
- User-friendly interface
- HTML
- CSS
- JavaScript
- Python
- Flask
- OpenCV
- SpeechRecognition
- NLP Processing
- User starts mock interview
- Webcam captures facial activity
- Speech-to-text converts responses
- System analyzes candidate interaction
- Analytics dashboard displays performance
- Automated feedback generated
The system integrates:
- Computer Vision for facial activity analysis
- Speech Recognition for response processing
- NLP techniques for interaction analysis
- Real-time analytics for performance tracking
- Live interview monitoring
- Automated response tracking
- Behavioral analytics
- Communication assessment
- Real-time feedback generation
- Performance visualization dashboard
git clone https://github.com/RIGASWAR/AI-Smart-Interview-Assistant.gitcd AI-Smart-Interview-Assistantpip install -r requirements.txtpython app.py- AI-generated interview questions
- Emotion recognition integration
- Resume-based question generation
- Voice confidence analysis
- Online interview rooms
- Multi-language support
- Rigaswar S
This project is developed for educational and research purposes.