AI-Powered Interview Platform

An AI-driven mock interview platform leveraging Azure AI (Speech-to-Text) and Gemini AI (for intelligent question generation). Built with MERN stack and deployed using AWS Serverless for a scalable and cost-efficient backend.

🚀 Features

• AI-Powered Question Generation – Uses Gemini AI to generate dynamic, role-specific interview questions.
• Real-time Transcription – Converts speech to text via Azure AI Speech Services for seamless interview documentation.
• Scalable & Serverless – Deployed with AWS Lambda and API Gateway for optimal performance.
• Interactive Code Editor – Supports live coding assessments

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🛠️ Tech Stack

Frontend (Client)

• React.js + Vite – Fast and optimized UI
• Tailwind CSS – Modern, responsive styling
• Lucide React – Icon library for enhanced UI

Backend (Server)

• Node.js & Express.js – Efficient REST API backend
• MongoDB (Atlas) – Cloud database for structured interview data
• AWS Serverless – Lambda, API Gateway, and S3 for scalable deployment
• Socket.io – Real-time communication for interview sessions
• Azure AI Speech-to-Text – Converts spoken words to text in real time
• Gemini AI – Generates interview questions dynamically

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📂 Folder Structure

📦 AI-Interview-Platform
├── 📁 client   # Frontend (React + Vite)
├── 📁 server   # Backend (Node.js + Express)
└── README.md

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🔧 Setup Instructions

1️⃣ Clone the Repository

git clone hhttps://github.com/Cleveridiot07/MockMate.git
cd= mockmate

2️⃣ Setup Client (Frontend)

cd client
npm install
npm run dev  # Starts frontend on http://localhost:5173

3️⃣ Setup Server (Backend)

cd server
npm install
npm run dev  # Starts backend on http://localhost:8000

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🚀 Deployment

Frontend: Deployed on Netlify

npm run build  # Generates optimized build files

Backend: Deployed on AWS Lambda via Serverless Framework

serverless deploy

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👥 Contributors

• Nikhil Saxena – GitHub

Pull requests are welcome! 🚀