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The AI web application is designed to respond to inquiries within a specific context, utilizing the API provided by Hugging Face. It has been developed using Next.js and Tailwind CSS.

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ashsajal1/ai-qna

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AI-QnA

AI-QnA is an open-source application that leverages the power of artificial intelligence to provide a question-and-answer interface. The application is built with Next.js, TypeScript, and Tailwind CSS, combining modern web development technologies for a seamless user experience.

Getting Started

To get started with AI-QnA locally, follow these simple steps:

Prerequisites

Make sure you have the following tools installed on your machine:

Installation

  1. Clone the repository:

    git clone https://github.com/ashsajal1/ai-qna.git
  2. Navigate to the project directory:

    cd ai-qna
  3. Install dependencies:

    npm install

Development

To run the application locally, use the following command:

npm run dev

Visit http://localhost:3000 in your browser to access the application.

Contributing

We welcome contributions from the community! If you're interested in contributing, please check out our Contribution Guidelines.

Features

  • AI-powered Q&A: Utilize advanced AI algorithms to answer user queries.
  • Next.js: Benefit from the advantages of Next.js for a fast and efficient web application.
  • TypeScript: Enjoy the benefits of static typing with TypeScript.
  • Tailwind CSS: Create a responsive and stylish user interface using Tailwind CSS.

Documentation

For detailed information on the project structure, development guidelines, and more, refer to the Documentation.

Issues

If you encounter any bugs or have suggestions for improvement, please create an issue.

License

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

Acknowledgments

We would like to express our gratitude to the open-source community for their contributions and support.


Happy coding!

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The AI web application is designed to respond to inquiries within a specific context, utilizing the API provided by Hugging Face. It has been developed using Next.js and Tailwind CSS.

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