An AI/ML-powered intelligent interview platform designed to automate technical interviewing, candidate assessment, response evaluation, and interview monitoring.
The AI/ML-Based Intelligent Interview System is a web-based platform that combines Artificial Intelligence, Machine Learning, Natural Language Processing, and automated assessment techniques to improve the technical interview process.
The system is designed to assist interviewers and candidates by generating technical questions, collecting candidate responses, evaluating performance, and providing structured feedback.
- AI-assisted technical interview process
- Automated interview question generation
- Candidate response evaluation
- Machine Learning-based assessment
- Natural Language Processing for response analysis
- Interview monitoring and cheating detection
- Candidate performance evaluation
- Automated scoring and feedback
- Web-based interview interface
- Database-backed candidate and interview management
The project consists of multiple components:
The frontend provides the user interface for candidates and interview administrators.
Technologies include:
- React / Next.js
- JavaScript / TypeScript
- HTML
- CSS
The backend manages application logic, API communication, interview sessions, and communication between the frontend and AI services.
Technologies include:
- Node.js
- REST APIs
- WebSocket / real-time communication where applicable
The AI/ML components are responsible for tasks such as candidate response analysis, evaluation, and interview monitoring.
Technologies include:
- Python
- Machine Learning
- Natural Language Processing
- Computer Vision
The system uses Supabase for data storage and application-related database operations.
AI-ML-Interview-System/
│
├── frontend/
│ └── Frontend application
│
├── backend/
│ └── Backend services and APIs
│
├── python-cheating-system/
│ └── AI/ML-based monitoring components
│
├── supabase/
│ └── Database-related configuration
│
├── README.md
└── ...