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πŸš€ IntelAi - Backend

Powerful, scalable backend for the AI Chat application with robust API endpoints and AI integration

Features β€’ Tech Stack β€’ Implementation β€’ Getting Started β€’ Contributing β€’ Contact

Node.js Express.js MongoDB TypeScript

🌟 Introduction

The AI Chat App Backend is a robust, scalable server-side application that powers the AI Chat platform. Built with Node.js and Express, it provides secure API endpoints, handles authentication, manages database operations, and integrates with AI services to deliver intelligent responses. The backend is designed with performance, security, and scalability in mind, ensuring a smooth experience for users of the AI Chat application.

✨ Features

πŸ”’ Secure Authentication

JWT-based authentication with refresh tokens and secure password handling

πŸ€– AI Integration

Seamless integration with multiple AI models via the AI SDK

πŸ“Š Data Management

Efficient MongoDB database operations with optimized queries

πŸ”„ Real-time Capabilities

WebSocket support for real-time chat functionality

πŸ“§ Email Services

Transactional email system for verification and notifications

πŸ›‘οΈ Rate Limiting

Advanced rate limiting to prevent abuse and ensure fair usage

πŸ“ Logging & Monitoring

Comprehensive logging and performance monitoring

πŸ” API Documentation

Auto-generated API documentation with Swagger

πŸ› οΈ Tech Stack

Node.js

Node.js

JavaScript runtime

Express

Express

Web framework

TypeScript

TypeScript

Type-safe JavaScript

MongoDB

MongoDB

NoSQL database

Redis

Redis

In-memory data store

Socket.IO

Socket.IO

Real-time communication

Jest

Jest

Testing framework

Docker

Docker

Containerization

πŸ” Implementation

The AI Chat App Backend includes the following key implementations:

πŸ” Authentication System

  • JWT-based authentication with access and refresh tokens
  • Secure password hashing with bcrypt
  • Email verification flow
  • Password reset functionality
  • OAuth integration for social logins

πŸ€– AI Integration

  • Integration with AI SDK for natural language processing
  • Multiple AI model support (GPT-4, Gemini, etc.)
  • Context management for multi-turn conversations
  • Streaming responses for real-time interaction
  • Rate limiting and usage tracking

πŸ“Š Database Architecture

  • MongoDB schemas with Mongoose ODM
  • Efficient indexing for optimized queries
  • Data validation and sanitization
  • Caching layer with Redis for improved performance
  • Transaction support for data integrity

πŸ”„ Real-time Communication

  • WebSocket implementation with Socket.IO
  • Event-based architecture for real-time updates
  • Presence indicators (typing, online status)
  • Message delivery confirmation
  • Connection state management

πŸ“§ Email Service

  • Transactional email system
  • Templated emails for verification, password reset, etc.
  • Email queue with retry mechanism
  • Email delivery tracking

πŸ›‘οΈ Security Features

  • CORS configuration
  • Helmet.js for HTTP headers security
  • Rate limiting middleware
  • Input validation and sanitization
  • XSS and CSRF protection

πŸš€ Getting Started

Follow these steps to set up the backend project locally:

Prerequisites

  • Node.js 18.x or later
  • MongoDB
  • Redis (optional, for caching)
  • npm or yarn
  • Git

Installation

  1. Clone the repository:
git clone https://github.com/yourusername/ai-chat-app-backend.git
cd backend
  1. Install dependencies:
npm install
# or
yarn install
  1. Set up environment variables: Create a .env file in the root directory with the following variables:
# Server
PORT=8000

# Database
MONGODB_URL=your mongodb url

# Authentication
JWT_SECRET=your_jwt_secret


  1. Run the development server:
npm start
# or
yarn dev
  1. The server will be running at http://localhost:8000

🀝 Contributing

Contributions are welcome! Here's how you can contribute to the project:

Creating Issues

  1. Go to the Issues tab on GitHub
  2. Click on "New Issue"
  3. Choose the appropriate issue template
  4. Fill in the required information
  5. Submit the issue

Solving Issues

  1. Find an issue you'd like to work on
  2. Comment on the issue to express your interest
  3. Fork the repository
  4. Create a new branch:
git checkout -b feature/your-feature-name
  1. Make your changes
  2. Run tests:
npm test
  1. Commit your changes:
git commit -m "feat: add your feature description"
  1. Push to your branch:
git push origin feature/your-feature-name
  1. Create a Pull Request

Pull Request Guidelines

  • Follow the Conventional Commits specification
  • Ensure your code passes all tests
  • Add tests for new features
  • Update documentation if necessary
  • Make sure your code follows the project's coding standards

πŸ“ž Contact

`

Developer Avatar

Siser Pratap

Full Stack Developer

πŸ“§ Email Me

Made with ❀️ by Siser Pratap

Β© 2025 IntelAi Backend. All rights reserved.

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