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A web app for face mask detection using OpenCV and a MobileNetV2 deep learning model. Built with Flask and React, allowing users to upload images and view real-time mask classification.

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Face Mask Detection Web App

This is a web application for detecting whether a person is wearing a face mask or not. It combines OpenCV for face detection with a MobileNetV2 deep learning model for accurate mask classification. The backend is made with Flask, and the frontend is built using React + Tailwind CSS.


  • Deep learning–based mask detection using MobileNetV2
  • Face detection using OpenCV Haar Cascades

Technologies Used

  • TensorFlow / Keras – mask classification
  • OpenCV – face detection
  • Flask – API server
  • React – frontend
  • Tailwind CSS – styling

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A web app for face mask detection using OpenCV and a MobileNetV2 deep learning model. Built with Flask and React, allowing users to upload images and view real-time mask classification.

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