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Cornell Detection: A Flask+React application that utilizes Haar Cascade model to detect faces and eyes in webcam images. Built with React frontend and Flask backend. Deployed on Heroku.

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Cornell Detection

A Flask+React based application that utilizes Haar Cascade model to detect faces and eyes in images received from the webcam

Technologies Used

  • React for the frontend
  • Flask for the backend (on run, flask application renders the index.html file in the React Build Folder)
  • Heroku for deployement

Steps to run on a local server

  • git clone https://github.com/pratyush1712/face-detection.git
  • cd face-detection/backend
  • gunicorn --bind localhost:3000 app:app

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Cornell Detection: A Flask+React application that utilizes Haar Cascade model to detect faces and eyes in webcam images. Built with React frontend and Flask backend. Deployed on Heroku.

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