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InterPrep

InterPrep is an AI-driven interview preparation platform that simulates real interview scenarios using advanced AI models. It features real-time voice interaction, question generation, and personalized feedback to help users refine their skills.

Web Application
Full-Stack Development
AI-Powered
Next.js
Firebase
TypeScript
Pet Project
AI-powered interview preparation platform interface.

Overview

InterPrep is designed to provide users with a realistic and effective interview preparation experience. The platform leverages Next.js for performance, Firebase for authentication and database management, and integrates Gemini AI and Vapi to generate, process, and evaluate interview sessions.

Users can experience real-time AI-driven interviews, answer generated questions, and receive structured feedback to improve their performance.

Technical Implementation

Tech Stack
  • Frontend: Next.js, TypeScript, ShadCN UI, Tailwind CSS
  • Backend: Firebase (Authentication & Firestore)
  • AI Services:
    • Gemini AI: Question generation & response analysis
    • Vapi: Real-time voice interaction & transcription
Architecture & Development Insights
  • AI-Powered Interviews: The platform initiates interview simulations using Vapi for voice-based interactions and Gemini AI for generating intelligent interview questions.
  • Real-Time Processing: User responses are analyzed and processed via Gemini AI, producing structured feedback for improvement.
  • Secure Authentication: Firebase ensures secure user authentication and data storage.
  • Optimized UI: ShadCN UI and Tailwind CSS deliver a clean and accessible interface.

User Experience (UX)

Target Audience
  • Job Seekers & Professionals: Preparing for technical interviews.
  • Students & Career Changers: Gaining confidence and improving response articulation.
  • Recruiters & Educators: Analyzing AI-powered interview simulations.
Key Features
  • Dynamic Interview Simulation:
    • AI-generated technical questions
    • Voice-based interview interaction
  • Personalized Feedback:
    • AI-analyzed performance reports
    • Strength and weakness evaluation
  • Seamless Authentication:
    • Firebase-powered sign-in and user management
  • Modern, Responsive UI:
    • Accessible and user-friendly experience

Challenges & Learning Experiences

Real-Time Voice Interaction & AI Processing

One of the biggest challenges was integrating Vapi for real-time speech recognition while synchronizing with Gemini AI for response analysis. The solution involved efficient API calls and asynchronous processing to ensure seamless communication.

AI-Based Feedback Generation
  • Problem: Analyzing user responses accurately for constructive feedback.
  • Solution: Leveraged Gemini AI to process responses using a predefined evaluation schema, ensuring meaningful and actionable insights.
Authentication & Data Security
  • Problem: Securing user data while maintaining a smooth login experience.
  • Solution: Implemented Firebase Authentication with strict security rules, ensuring safe and efficient access management.

Conclusion

InterPrep demonstrates the power of AI in enhancing interview preparation. By integrating real-time voice interaction, AI-driven feedback, and a structured interview workflow, the platform provides users with a unique and effective way to refine their skills.

Future enhancements include:

  • More diverse question sets and AI adaptability
  • Advanced analytics and progress tracking
  • Multi-language support for global accessibility