Ask Gemini - AI-Powered Q&A Application

A modern, full-stack web application that leverages Google's Gemini AI to provide intelligent answers to your questions.

Features

• ✨ Clean, modern UI with Tailwind CSS
• 🚀 Fast, real-time AI responses
• 🔒 Secure API key handling
• 📱 Responsive design
• 💬 Interactive chat interface

Tech Stack

• Backend: Node.js, Express.js
• Frontend: HTML, CSS (Tailwind), JavaScript
• AI: Google Gemini API (gemini-2.0-flash)
• Deployment: Vercel (backend)

Setup Instructions

1. Clone the repository

   git clone https://github.com/saurya96/Geminii.git
   cd Geminii

2. Install dependencies

   npm install

3. Configure environment variables

   cp .env.example .env

   Then edit .env and add your Gemini API key:

   GEMINI_API_KEY=your_api_key_here
   

4. Run the development server

   npm start

5. Open your browser Navigate to http://localhost:3000

Environment Variables

• GEMINI_API_KEY - Your Google Gemini API key (required)
• GEMINI_MODEL - Model to use (default: gemini-2.0-flash)
• GEMINI_PROVIDER - Provider name (default: google)
• MOCK_RESPONSE - Use mock responses for testing (default: false)
• PORT - Server port (default: 3000)

Project Structure

.
├── public/           # Frontend files
│   ├── index.html   # Landing page
│   ├── app.html     # Chat interface
│   ├── script.js    # Frontend logic
│   └── style.css    # Custom styles
├── server.js        # Express server
├── package.json     # Dependencies
├── .env             # Environment variables (not in git)
└── README.md        # This file

API Endpoints

• GET / - Landing page
• GET /app - Chat interface
• POST /ask - Submit a question to Gemini
• GET /health - Health check
• GET /diagnostics/gemini - API diagnostics

Deployment

The backend is deployed on Vercel at: https://geminii-8e7n.vercel.app

License

MIT