AI Interview Tracker

Streamline your interview preparation with AI-powered tracking, personalized insights, and real-time progress monitoring

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Inspiration

What it does

Inspiration

The job interview process can be stressful, especially for those who are preparing for their first job or a career transition. We wanted to create a platform that helps users practice interviews in a safe, structured environment, using advanced AI to simulate real-world interview experiences.

What It Does

The AI Mock Interview Taker is a web-based platform that provides an AI-driven mock interview experience. Users can select job roles and experience levels, and the platform will generate tailored interview questions using Google Gemini AI. After completing the mock interview, users receive performance feedback and ratings to help them improve. The platform is designed to be both educational and interactive, offering users a chance to practice and refine their interview skills.

How We Built It

We built this project with a combination of modern technologies:

  • Frontend: React and Next.js for a responsive, dynamic user interface.
  • Backend: Node.js with Drizzle ORM and PostgreSQL for secure and efficient data management.
  • AI Integration: Google Gemini AI was used to generate customized interview questions based on user input.
  • Authentication: We used Clerk for secure user sign-in and registration.
  • Payment Integration: The platform offers both free and premium subscription plans, with Stripe for handling payments.

Challenges Faced

  • AI Integration: Ensuring that the AI generates realistic and relevant interview questions that fit the user's job role and experience level.
  • User Feedback System: Designing a feedback system that provides actionable insights based on the user's interview performance.
  • Responsive Design: Ensuring that the platform works seamlessly across different devices, providing a consistent user experience.

What We Learned

Building this project allowed us to deepen our understanding of AI integrations, particularly in the context of personalized learning and feedback systems. We also enhanced our skills in working with React, Next.js, and PostgreSQL, while learning how to balance security, usability, and performance.

Future Plans

  • Enhanced Feedback: We plan to integrate Natural Language Processing (NLP) to analyze user responses more deeply, offering more detailed and insightful feedback.
  • Live Video Interviews: Add real-time video conferencing for mock interviews, with live feedback from AI or human interviewers.
  • Global Accessibility: We're working on adding multilingual support to make the platform accessible to a wider audience.

Built With

  • ai
  • authentication:
  • backend:-node.js
  • drizzle-orm
  • frontend:-react
  • gemini
  • google
  • integration:
  • payments:
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