Project Inspiration: The inspiration behind InterviewMate came from the desire to simplify and enhance the interview process for both candidates and interviewers, leveraging the power of AI to provide intelligent assistance at every stage.
Languages: Python
Frameworks and Libraries:
- Django
- Django Rest Framework (DRF)
- Bootstrap
Platforms:
- Render (for deployment)
Tools:
- Google Gemini AI (for real-time interview question generation)
- PostgreSQL (as the database)
Product Summary: InterviewMate is an innovative AI-powered interview assistant built with Python and Django. It leverages Google Gemini AI for real-time question generation, ensuring relevant and tailored interview questions based on user preferences. With features like voice and video recording, speech-to-text transcription, and analysis mode, InterviewMate aims to streamline the interview process for candidates, providing comprehensive support from preparation to performance review. Deployed on Render, it offers a seamless and efficient experience for interviewees and interviewers alike.


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