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AI-CodeMind

AI-CodeMind is a real-time AI chatbot application built using Node.js, Express, Socket.IO, and Google Generative AI. The application enables users to interact with an AI model in real time, providing intelligent, context-aware responses through a web-based chat interface.

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Overview

The goal of AI-CodeMind is to demonstrate the integration of Generative AI with real-time communication. It follows a modular backend architecture and a simple frontend interface, making it easy to extend and scale for future AI-driven features.

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Key Features

• Real-time AI chatbot using Socket.IO
• AI responses powered by Google Gemini (gemini-3-flash-preview)
• Scalable backend architecture with Express.js
• Modular AI service layer
• Frontend real-time chat interface
• Environment-based configuration using dotenv
• API testing support with Postman

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Deployment : coming soon

AI Model Details

• Provider: Google Generative AI
• Model: gemini-3-flash-preview
• Purpose: Generates contextual and formatted chatbot responses

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Technology Stack

Backend

• Node.js
• Express.js
• Socket.IO
• Google Generative AI SDK

Frontend

• HTML
• CSS
• JavaScript
• Socket.IO Client

Tools

• Postman
• Git & GitHub

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Installation and Setup

Clone the Repository

git clone https://github.com/thakare18/AI-CodeMind.git
cd AI-CodeMind

Install Dependencies

npm install

Configure Environment Variables

Create a .env file in the root directory:

PORT=5000
GOOGLE_API_KEY=your_google_genai_api_key

Run the Application

npm start

The server will be available at:

http://localhost:5000

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Application Flow

1. User sends a message through the chat interface
2. Message is transmitted to the backend using Socket.IO
3. Backend processes the message using the Gemini AI model
4. AI-generated response is returned to the user in real time

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Current Status

• Core chatbot functionality implemented
• Real-time messaging operational
• Frontend UI under active enhancement
• Deployment planned(coming soon)

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Future Enhancements

• Persistent chat history
• User authentication and authorization
• Improved UI/UX
• Multi-model AI support
• Cloud deployment and scalability improvements

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Contribution Guidelines

Contributions are welcome. Please open an issue or submit a pull request for improvements or bug fixes.

Contact

Name: Prathamesh Thakare. mail: prathameshthakare9677@gmail.com GitHub: https://github.com/thakare18