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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.

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.

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

Deployment : coming soon

AI Model Details

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

Technology Stack

Backend

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

Frontend

  • HTML
  • CSS
  • JavaScript
  • Socket.IO Client

Tools

  • Postman
  • Git & GitHub

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

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

Current Status

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

Future Enhancements

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

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