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Chatbot with AI (Frontend + Backend)

This project is a chatbot application that connects a React frontend with an AI-powered backend to create interactive conversations. The frontend takes user input, sends it to the backend, and displays the AI's response.

Table of Contents

• Overview
• Features
• Tech Stack
• Frontend Setup
• Backend Setup
• Deployment
• Usage
• License

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Overview

This project consists of two parts:

• Frontend: A React app built with TypeScript and Vite, which provides the user interface to send messages to the backend.
• Backend: A server (Node.js/Express) that processes the user's message and responds with an AI-generated reply.

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Features

• Interactive chat interface where users can send messages and get AI responses.
• Lightweight, fast, and responsive frontend built with React and Vite.
• API-based backend to handle requests and communicate with the AI.
• Deployed both frontend and backend on Vercel for easy access and scalability.

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Tech Stack

• Frontend:

  • React
  • TypeScript
  • Vite
  • CSS (for styling)

• Backend:

  • Node.js
  • Express (optional, depending on your backend setup)
  • AI service (could be an OpenAI API or custom AI model)

• Deployment:

  • Vercel (for both frontend and backend)

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Frontend Setup

1. Clone the repository:

   git clone https://github.com/saadtahir995/chatbot.git
   cd client

2. Install dependencies:

   npm install

3. Run the development server:

   npm run dev

4. Your app will be running at http://localhost:5173. Open it in your browser to start chatting with the AI.

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Backend Setup

1. Clone the repository for the backend (or set up your own backend API).

   git clone https://github.com/saadtahir995/chatbot.git
   cd Server

2. Install dependencies:

   npm install

3. Run the backend server (make sure you set up your server as required):

   npm run dev

   The backend should be accessible at http://localhost:5174/api/route/chat. Ensure your frontend is configured to connect to this endpoint.

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Deployment

The chatbot app is deployed on Vercel for easy access. You can deploy both the frontend and backend using the following steps:

1. Frontend: After pushing the frontend code to GitHub, link it to Vercel, and deploy.
2. Backend: Similarly, push your backend code to GitHub, link it to Vercel, and deploy.

For more detailed deployment instructions, refer to the Vercel documentation.

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Usage

1. Visit the deployed frontend URL.
2. Type a message in the chat interface.
3. The backend processes the message and returns an AI response.
4. The AI response is displayed in the chat interface.

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License

This project is licensed under the MIT License - see the LICENSE file for details.

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Contact

For any issues or suggestions, feel free to open an issue on the GitHub repository.

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Notes

• If you plan to connect to an external AI service (like OpenAI), you will need to configure the backend to integrate with their API.
• You may need to set up environment variables (such as API keys) for the AI service on both the frontend and backend when deploying.

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