A full-stack AI-powered interview platform that helps users practice and prepare for technical interviews with the help of AI.

• React 19 with Vite
• Material-UI (MUI) v7 for UI components
• React Router for navigation
• Axios for API requests
• Framer Motion for animations
• React Speech Recognition for voice input
• Styled Components for styling

• Node.js with Express
• MongoDB with Mongoose ODM
• JWT for authentication
• Google Cloud Text-to-Speech
• LangChain for AI interview capabilities
• OpenAI integration
• PDF parsing for resume analysis

AI-Interview/ ├── backendAiInterview/ # Backend server │ ├── src/ # Source code │ ├── .env # Environment variables │ └── package.json # Backend dependencies └── frontendAiInterview/ # Frontend React app ├── src/ # Source code ├── public/ # Static files └── package.json # Frontend dependencies 

• Node.js (v18 or higher)
• npm or yarn
• MongoDB Atlas or local MongoDB instance
• Google Cloud credentials (for TTS)
• OpenAI API key

1. Clone the repository

   git clone <repository-url> cd AI-Interview

2. Backend Setup

   cd backendAiInterview npm install cp .env.example .env # Configure your environment variables

3. Frontend Setup

   cd ../frontendAiInterview npm install cp .env.example .env # Configure your environment variables

1. Start Backend

   cd backendAiInterview npm start

2. Start Frontend

   cd ../frontendAiInterview npm run dev

   The application will be available at http://localhost:5173

MONGODB_URI=your_mongodb_uri JWT_SECRET=your_jwt_secret GOOGLE_APPLICATION_CREDENTIALS=path/to/your/credentials.json GOOGLE_API_KEY=your_google_api_key 

• User authentication (Register/Login)
• AI-powered mock interviews
• Voice-based interview responses
• Real-time feedback and scoring
• Resume analysis
• Interview history and analytics

DeshDeepakKant

• GitHub: DeshDeepakKant
• LinkedIn: DeshDeepakKant
• Email: deshdeepakkant@gmail.com