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No Phishing is an advanced browser extension using artificial intelligence to detect phishing threats with 91% accuracy in real time and provides instant notifications about potential phishing threats. It's very easy to install and operate, providing a seamless browsing experience. It's designed for Google Chrome to enhance online security for both individuals and businesses.

This extension is intended as a supplementary tool for online safety. While it demonstrates high accuracy, it is not infallible. As the developer, I am not a certified cybersecurity professional, and the extension could make errors. Users are advised to exercise caution and judgment. By using "No Phishing," you acknowledge and accept responsibility for your online safety.

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1. Clone the repo

   git clone https://github.com/cprite/phishing-detection-ext.git

2. Install the required dependencies

   pip install -r requirements.txt

3. Load the extension in Google Chrome
   • Open Google Chrome and navigate to chrome://extensions/.
   • Enable Developer mode by toggling the switch in the top-right corner.
   • Click on Load unpacked button.
   • Navigate to the directory where you cloned the phishing-detection-ext repository and select it.
   • The extension should now appear in your list of installed extensions.
4. Activate the extension
   • Once installed, you'll see the extension's icon in the Chrome toolbar.
   • Click on the icon to turn ON the extension.
   • Before using the extension, start the local server by navigating to the project's root directory in the command line:

     cd path/to/repo/phishing-detection-ext
     python main.py

5. Ready to Go!
   • You are now all set to surf the internet safely with the "No Phishing" extension.
   • The extension will run in the background, monitoring websites you visit for potential phishing threats.
   • Stay safe and feel free to report any suspicious sites or activities you encounter.
   • Remember, your web safety is enhanced, but always stay vigilant while browsing.

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• Create Demo Version

  • Description: Developed a demo version of the extension for initial testing and feedback.

• Self-Learning Capabilities

  • Description: Implementation of a self-learning mechanism to improve the accuracy of the prediction model based on user reports.

• Deployment on Cloud

  • Description: Plan to deploy the backend services of the extension to a cloud platform for enhanced speed, reliability and scalability.

• Deployment on Chrome Web Store

  • Description: Prepare and submit the extension to the Chrome Web Store for public availability and easy installation by users.

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Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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