PleasantWeb is a smart browser extension that alerts users of unsuitable content online for buildspace s4. It can detect both images and text!
PleasantWeb is a smart browser extension designed to enhance your online experience by alerting you of unsuitable content. It analyses web pages in real-time and provides warnings for content that may be inappropriate or offensive. PleasantWeb helps ensure your online environment remains positive and safe. It’s an excellent tool for users of all ages, particularly for those who wish to avoid negative or harmful content. PleasantWeb is not just an extension it’s your companion for a more pleasant and secure web experience.
- Vanilla Java Script
- CSS
- HTML
- Perspective API By Google Jigsaw (https://perspectiveapi.com/)
- Clarifai (https://www.clarifai.com/)
We welcome contributions from everyone! Whether its code or documentation, your contributions are valuable to us.
- Ask to be assigned to a esisting issue or create a new one and wait to be assigned
- Fork this Repository using the button at the top on the right corner.
- Clone your forked repository to your PC ( git clone "url from clone option.)
- Create a new branch for your modifications (ie.
git branch new-user
and check it outgit checkout new-user
or simply dogit checkout -b new-user
) - Make your changes
- Add your files (
git add -A
), commit (git commit -m "added myself"
) and push (git push origin new-user
) - Create a pull request
- Star this repository
- Fork this repository.
- Clone your forked repository to your local machine.
git clone https://github.com/imkrishnasarathi/PleasantWeb.git
cd PleasantWeb
- Make Changes
- Commit your changes with a meaningful commit message.
git add .
git commit -m "Your meaningful commit message here"
- Push your changes to your forked repository.
git push origin main
- Create a Pull Request to this repository. (Option to create will be available in the repository after you make the Pull request)
- Wait for your Pull Request to be reviewed and merged!
Please ensure that your code is properly commented and follows best practices.