Harnessing the capabilities of Machine Learning and Artificial Intelligence to swiftly and accurately detect the presence of facial masks. 🚀
MaskKavach is a web application that utilizes the power of Machine Learning and TensorFlow.js through the Teachable Machine model by Google. The goal is to provide an easy-to-use solution for instantly detecting whether a person is wearing a facial mask.
- Teachable Machine by Google: The machine learning model is created and trained using Teachable Machine, a Google initiative.
- TensorFlow.js: TensorFlow.js is employed to run the machine learning model directly in the browser.
- HTML, CSS, Bootstrap: The user interface is designed with HTML, styled with CSS, and enhanced with the Bootstrap framework.
- Instant Detection: Swiftly detects the presence of facial masks.
- User-Friendly: Easy-to-use interface with start and stop buttons.
- Real-time Feedback: Provides real-time feedback on whether a mask is detected.
- Responsive Design: Responsive web design ensures a seamless experience across devices.
- Click on the "Start" button to initiate the webcam and mask detection.
- The system will provide real-time feedback on mask detection.
- Click on the "Stop" button to end the webcam and mask detection.
Feel free to contribute to the project by submitting bug reports, feature requests, or pull requests. Let's work together to make MaskKavach even better!
This project is licensed under the MIT License.
🌟 Thank you for contributing to a safer world! Stay protected with MaskKavach! 😷