https://github.com/pratyush1712/face-detection
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.
https://github.com/pratyush1712/face-detection
flask-cors flask-server haar-cascade haar-cascade-classifier heroku-deployment mui opencv-python react-flask
Last synced: 11 months ago
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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.
- Host: GitHub
- URL: https://github.com/pratyush1712/face-detection
- Owner: pratyush1712
- Created: 2022-08-10T09:15:59.000Z (almost 4 years ago)
- Default Branch: master
- Last Pushed: 2023-06-01T04:24:33.000Z (almost 3 years ago)
- Last Synced: 2025-05-17T05:11:46.415Z (about 1 year ago)
- Topics: flask-cors, flask-server, haar-cascade, haar-cascade-classifier, heroku-deployment, mui, opencv-python, react-flask
- Language: Python
- Homepage: https://cornell-detection.herokuapp.com/
- Size: 1.82 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# 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```
### Located Here