Sankshep AI is a web-based AI content summarizer designed to quickly extract key insights from articles and webpages. Users can paste the URL of a target article or webpage, and Sankshep AI will provide a concise summary in a single paragraph. The application also features a history section for easy access to previously summarized links.
- Content Summarization: Leverages AI to provide concise summaries from article URLs.
- User-friendly Interface: A clean and intuitive interface for a seamless user experience.
- History Tracking: Maintains a history of previously pasted links for quick access.
- Copy to Clipboard: Allows users to copy summarized content to the clipboard.
- React: A JavaScript library for building user interfaces.
- Redux Toolkit: A state management library for React applications.
- Tailwind CSS: A utility-first CSS framework for styling.
- RapidAPI: Utilized for external API calls to perform content summarization.
Before you start, ensure you have the following software installed on your computer:
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Clone the repository:
git clone https://github.com/imambujshukla7/sankshepai.git
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Navigate to the project directory:
cd sankshepai
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Install project dependencies:
npm install
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Start the development server:
npm run dev
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Open your web browser and go to sankshepai.site.
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In Sankshep AI:
- Paste the URL of the article or webpage you want to summarize.
- Click the "Send" button to receive a one-paragraph summary.
- Access previously summarized links in the history section.
- Click the "Copy" button to copy summarized content to the clipboard.
Sankshep AI utilizes Redux Toolkit for state management, ensuring a predictable and efficient way to handle data and UI updates.
Contributions are welcome! If you have improvements or bug fixes, please follow these steps:
- Fork the repository.
- Create a new branch for your feature or bug fix:
git checkout -b feature/your-feature
. - Commit your changes:
git commit -m "Add your feature"
- Push to your branch:
git push origin feature/your-feature
- Open a Pull Request.
This project is licensed under the MIT License.