{"id":18000281,"url":"https://github.com/sakeenanavavi/snapcal_ocr-based-equation-solver","last_synced_at":"2026-05-04T18:41:30.816Z","repository":{"id":257468318,"uuid":"858347260","full_name":"SakeenaNavavi/SnapCal_OCR-based-Equation-Solver","owner":"SakeenaNavavi","description":"This project is a web application that solves mathematical equations from images using optical character recognition (OCR) and symbolic mathematics. 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It's built with Flask, OpenCV, and SymPy.\n\n## Features\n\n- Upload images containing mathematical equations\n- Process images to extract equation text using OCR\n- Parse and solve equations with step-by-step explanations\n- Handle various mathematical operations including basic arithmetic, algebraic expressions, and logarithms\n- Display results in a user-friendly web interface\n\n## Prerequisites\n\nBefore you begin, ensure you have met the following requirements:\n\n- Python 3.7+\n- pip (Python package manager)\n- Tesseract OCR engine installed on your system\n\n## Installation\n\n1. Clone the repository:\n   ```\n   git clone https://github.com/yourusername/equation-solver.git\n   cd equation-solver\n   ```\n\n2. Create a virtual environment (optional but recommended):\n   ```\n   python -m venv venv\n   source venv/bin/activate  # On Windows, use `venv\\Scripts\\activate`\n   ```\n\n3. Install the required packages:\n   ```\n   pip install -r requirements.txt\n   ```\n\n## Usage\n\n1. Start the Flask application:\n   ```\n   python app.py\n   ```\n\n2. Open a web browser and navigate to `http://localhost:5000`\n\n3. Upload an image containing a mathematical equation\n\n4. The application will process the image, extract the equation, solve it, and display the results with step-by-step explanations\n\n## Project Structure\n\n- `app.py`: Main Flask application file\n- `templates/`: Contains HTML templates for the web interface\n- `static/`: Contains static files (CSS, JavaScript, images)\n- `uploads/`: Temporary storage for uploaded images\n\n## Contributing\n\nContributions to this project are welcome. Please follow these steps:\n\n1. Fork the repository\n2. Create a new branch (`git checkout -b feature/amazing-feature`)\n3. Make your changes\n4. Commit your changes (`git commit -m 'Add some amazing feature'`)\n5. Push to the branch (`git push origin feature/amazing-feature`)\n6. Open a pull request\n\n## License\n\nThis project is licensed under the MIT License. See the `LICENSE` file for details.\n\n## Contact\n\nIf you have any questions or feedback, please open an issue on the GitHub repository.\n\n## Acknowledgements\n\n- [Flask](https://flask.palletsprojects.com/)\n- [OpenCV](https://opencv.org/)\n- [Tesseract OCR](https://github.com/tesseract-ocr/tesseract)\n- [SymPy](https://www.sympy.org/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsakeenanavavi%2Fsnapcal_ocr-based-equation-solver","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsakeenanavavi%2Fsnapcal_ocr-based-equation-solver","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsakeenanavavi%2Fsnapcal_ocr-based-equation-solver/lists"}