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IBM Watson Module

This is a fully functional IBM Watson Module Clone built with Next.js and TypeScript. It provides a chat interface to simulate IBM Watson AI responses.

🚀 Features

  • Next.js (React Framework)
  • TypeScript for Type Safety
  • Tailwind CSS for Styling
  • Lucide Icons for UI Enhancements
  • IBM Watson API Integration Placeholder
  • Modular and Scalable Codebase
  • Fully Functional Chat Interface

📂 Project Structure

IBM_Watson_Module_Clone/
├── src/
│   ├── components/
│   │   ├── IBMWatsonClone.tsx
│   │   ├── ui/
│   │   │   ├── Button.tsx
│   │   │   ├── Card.tsx
│   │   │   ├── Input.tsx
│   ├── pages/
│   │   ├── index.tsx
│   ├── styles/
│   │   ├── globals.css
├── public/
├── .next/
├── node_modules/
├── package.json
├── tsconfig.json
├── next.config.js
├── README.md

🛠 Installation & Setup

1. Clone the repository:

git clone https://github.com/xcriminal1/IBM_Watson_Module.git
cd IBM_Watson_Module_Clone

2. Install dependencies:

npm install

3. Start the development server:

npm run dev

4. Open in browser:

http://localhost:3000

⚙️ Usage

  • Type messages in the input box and send them.
  • The system will simulate a response from IBM Watson.
  • Modify the API call inside IBMWatsonClone.tsx to integrate with real IBM Watson services.

🔧 Configuration

  • Modify next.config.js for custom Next.js settings.
  • Update tsconfig.json for TypeScript paths.

🛠 Dependencies

  • Next.js (React Framework)
  • TypeScript (Static Typing)
  • Tailwind CSS (UI Styling)
  • Lucide Icons (Modern UI Icons)

📝 Contributing

  1. Fork the repository.
  2. Create a new branch:
    git checkout -b feature-name
  3. Make your changes and commit:
    git commit -m "Added new feature"
  4. Push the changes:
    git push origin feature-name
  5. Create a Pull Request.

📜 License

This project is open-source under the MIT License.

💡 Feel free to contribute and improve the project! 🚀

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This is a fully functional IBM Watson Module Clone built with Next.js and TypeScript. It provides a chat interface to simulate IBM Watson AI responses.

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