An easy-to-use solution for monitoring school cafeteria lines using computer vision and web technologies.
- 📸 Real-time Image Processing: Uses Tesseract.js to analyze cafeteria lines in real-time.
- 🚀 Fast Backend: Built with FastAPI for a quick and efficient server-side setup.
- 💻 Interactive Frontend: Developed using React.js for a smooth and responsive user experience.
- Tesseract.js: For real-time text recognition from images.
- FastAPI: High-performance backend API.
- React.js: Dynamic and interactive front-end framework.
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Before Installing locally, try the deployed version here: https://schoollineocr-tesseract.netlify.app/mensa-manager
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Clone the repository:
git clone https://github.com/keremsemiz/school-line-manager.git
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Install dependencies for both the backend (FastAPI) and the frontend (React.js): Backend (FastAPI):
cd backend pip install -r requirements.txt
Frontend (React.js):
cd frontend
npm install