The AI Interviewer is an innovative platform designed to simulate real interview environments for students. It incorporates advanced features such as facial recognition, screen monitoring, and dynamic question generation. This platform aims to enhance interview preparation and provide valuable feedback on performance.
- Facial Recognition: Identifies and verifies the candidate's identity.
- Screen Monitoring: Ensures the integrity of the interview process by preventing tab switching.
- Dynamic Question Generation: Uses AI to generate relevant interview questions based on job roles.
- Behavioral Analysis: Evaluates responses to provide insights into strengths and areas for improvement.
- Mock Interviews: Conducts simulations for technical and HR interview rounds.
- Performance Reports: Generates detailed feedback reports post-interview, including scoring and suggestions for improvement.
- Frontend: Next.js, TypeScript
- Backend: (Include your backend tech stack if applicable)
- AI Model: (Mention any specific AI model or API used)
- Database: (Specify if you are using a database and its type)
To get a local copy up and running, follow these steps:
- Clone the repository:
git clone https://github.com/yourusername/ai-interviewer.git