🧠 AIInterviewPro – AI-powered Mock Interview & English Coach Platform

AIInterviewPro is an AI-driven mock interview and English practice platform that helps users prepare for technical and behavioral interviews through real-time AI simulations, personalized feedback, and voice-based interactions.

---

🚀 Features

🎯 Interview Modes

• Interview Mode: Simulates a real interview environment with AI asking questions and giving instant feedback.
• English Practice: Speak with an AI English coach that corrects your grammar, fluency, and pronunciation.
• Topic/Question Practice: Focused practice sessions on specific topics or question sets.

💬 Interactive Conversations

• Integrated Speech-to-Text (STT) and Text-to-Speech (TTS) using Deepgram for seamless voice-based communication.
• Full conversation transcripts are saved for review after each session.

📊 Feedback & History

• Receive detailed performance feedback after each interview.
• Access your complete interview history anytime to analyze growth and improvement.

💳 Credit-Based Usage

• Users receive credits on signup, which are consumed during interactions.
• Managed using Firebase Authentication and Firestore for real-time tracking.

💻 Responsive Design

• Built with Next.js, Tailwind CSS, and Shadcn UI for a fast, elegant, and consistent experience across all devices.

---

🧩 Tech Stack

Category	Technologies Used
Frontend	Next.js, JavaScript, Tailwind CSS, Shadcn UI
Backend / Database	Firebase (Auth + Firestore), Stack Auth
AI / NLP	Gemini API (via OpenRouter)
Speech Processing	Deepgram (STT/TTS)
Real-Time Communication	WebSocket
State Management	React Hooks, Context API
Version Control	Git, GitHub

---

⚙️ Installation & Setup

1. Clone the repository

   git clone https://github.com/devkushwah/Mock-Interview-Preparation-Sytem.git

2. Install dependencies

   npm install

3. Set up environment variables
   Create a .env.local file and add:

   # Stack Auth (for authentication)
   NEXT_PUBLIC_STACK_PROJECT_ID=your_stack_project_id
   NEXT_PUBLIC_STACK_PUBLISHABLE_CLIENT_KEY=your_stack_publishable_client_key
   STACK_SECRET_SERVER_KEY=your_stack_secret_server_key
   
   # Firebase (Auth + Firestore + Database)
   NEXT_PUBLIC_FIREBASE_API_KEY=your_firebase_key
   NEXT_PUBLIC_FIREBASE_AUTH_DOMAIN=your_auth_domain
   NEXT_PUBLIC_FIREBASE_PROJECT_ID=your_project_id
   NEXT_PUBLIC_FIREBASE_STORAGE_BUCKET=your_bucket
   NEXT_PUBLIC_FIREBASE_MESSAGING_SENDER_ID=your_sender_id
   NEXT_PUBLIC_FIREBASE_APP_ID=your_app_id
   NEXT_PUBLIC_FIREBASE_MEASUREMENT_ID=your_measurement_id
   
   # Speech Processing
   NEXT_PUBLIC_DEEPGRAM_API_KEY=your_deepgram_key
   DEEPGRAM_API_KEY=your_deepgram_key
   
   # AI / NLP
   NEXT_PUBLIC_OPENAI_ROUTER_KEY=your_openrouter_key
   NEXT_PUBLIC_GEMINI_API_KEY=your_gemini_key
   NEXT_PUBLIC_GEMINI_MODEL=gemini-1.5-pro

4. Run the development server

   npm run dev

5. Open in browser

   http://localhost:3000
   

---

🧠 How It Works

1. User selects a mode (Interview / English Practice / Topic Practice).
2. App connects with AI backend (Gemini API via OpenRouter).
3. Voice input processed via Deepgram STT → AI generates response → Speech output via TTS.
4. Full conversation + feedback stored in Firebase.
5. User can revisit and analyze past sessions anytime.

---

📄 License

This project is open-source and available under the MIT License.

---

🤝 Contributing

Pull requests are welcome!
For major changes, please open an issue first to discuss what you’d like to change.

---

👤 Author

Dev Kushwah
📧 devkushwah880@gmail.com

---

⭐ If you like this project, don’t forget to star the repo!