PrepGenie: AI-Powered Interview Preparation Platform

🚀 Project Overview

PrepGenie is an innovative platform that empowers job seekers to conduct AI-powered mock interviews, leveraging cutting-edge technologies to simulate real-world interview experiences and provide personalized feedback.

🌟 Key Features

• AI-Powered Voice Interviews: Conduct realistic mock interviews using VAPI's voice agent technology
• Intelligent Feedback: Powered by Gemini 2.0 Flash AI for comprehensive interview analysis
• Secure Authentication: Robust user management with Firebase Authentication
• Performance Tracking: Store and track interview results using Firebase Firestore

🛠 Tech Stack

• Frontend: Next.js 14
• Language: TypeScript
• AI Services:
  • VAPI (Voice AI Agent)
  • Gemini 2.0 Flash (Google AI)
• Backend & Authentication: Firebase
  • Firestore Database
  • Firebase Authentication
• Styling: Tailwind CSS
• State Management: React Hooks

📦 Prerequisites

• Node.js (v18+ recommended)
• npm or Yarn
• Firebase Account
• Gemini AI API Key
• VAPI Account

🔧 Installation

1. Clone the repository

git clone https://github.com/null-kaustubh/prepgenie.git
cd prepgenie

2. Install dependencies

npm install
# or
yarn install

3. Set up environment variables Create a .env.local file in the root directory with the following variables:

# Firebase Configuration
NEXT_PUBLIC_FIREBASE_API_KEY=your_firebase_api_key
NEXT_PUBLIC_FIREBASE_AUTH_DOMAIN=your_firebase_auth_domain
NEXT_PUBLIC_FIREBASE_PROJECT_ID=your_firebase_project_id

# Gemini AI Configuration
NEXT_PUBLIC_GEMINI_API_KEY=your_gemini_api_key

# VAPI Configuration
NEXT_PUBLIC_VAPI_API_KEY=your_vapi_api_key

4. Run the development server

npm run dev
# or
yarn dev

🌐 Deployment

Recommended platforms:

• Vercel (Optimal for Next.js)
• Netlify
• Heroku

Deployment steps:

1. Push your code to GitHub
2. Connect your repository to Vercel
3. Set environment variables in the deployment platform

📝 Key Components

Authentication

• User registration and login
• OAuth support via Firebase
• Secure route protection

Interview Workflow

1. Select Interview Type

   • Technical Interviews
   • Behavioral Interviews
   • Role-Specific Scenarios

2. AI Voice Interview

   • Real-time voice interaction
   • Adaptive questioning
   • Natural language processing

3. Feedback Generation

   • Detailed performance analysis
   • Strengths and improvement areas
   • Suggested resources

🔒 Security Considerations

• Firebase Security Rules
• Input validation
• Rate limiting
• Secure API key management

🚧 Future Roadmap

• Multi-language support
• More interview domains
• Advanced analytics dashboard
• Machine learning-based personalized coaching
• Integration with job application platforms
• Customizable interview scenarios

💡 Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📊 Performance Optimization

• Server-side rendering (SSR)
• Incremental Static Regeneration (ISR)
• Lazy loading of components
• Efficient state management

🆘 Troubleshooting

• Ensure all API keys are correctly configured
• Check Firebase project settings
• Verify VAPI and Gemini AI integrations
• Review browser console for any errors

🤝 Contact

Kaustubh Sankhe - [kaustubhs2903@gmail.com]

Project Link: https://github.com/null-kaustubh/prepgenie