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https://github.com/sakeenanavavi/snapcal_ocr-based-equation-solver
This project is a web application that solves mathematical equations from images using optical character recognition (OCR) and symbolic mathematics. It's built with Flask, OpenCV, NumPy and SymPy.
https://github.com/sakeenanavavi/snapcal_ocr-based-equation-solver
flask opencv pytesseract python
Last synced: 8 days ago
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This project is a web application that solves mathematical equations from images using optical character recognition (OCR) and symbolic mathematics. It's built with Flask, OpenCV, NumPy and SymPy.
- Host: GitHub
- URL: https://github.com/sakeenanavavi/snapcal_ocr-based-equation-solver
- Owner: SakeenaNavavi
- Created: 2024-09-16T18:29:43.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2024-10-17T19:13:32.000Z (20 days ago)
- Last Synced: 2024-10-29T07:21:49.679Z (8 days ago)
- Topics: flask, opencv, pytesseract, python
- Language: Python
- Homepage:
- Size: 79.7 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Equation Solver with Image Recognition
This project is a web application that solves mathematical equations from images using optical character recognition (OCR) and symbolic mathematics. It's built with Flask, OpenCV, and SymPy.
## Features
- Upload images containing mathematical equations
- Process images to extract equation text using OCR
- Parse and solve equations with step-by-step explanations
- Handle various mathematical operations including basic arithmetic, algebraic expressions, and logarithms
- Display results in a user-friendly web interface
## Prerequisites
Before you begin, ensure you have met the following requirements:
- Python 3.7+
- pip (Python package manager)
- Tesseract OCR engine installed on your system
## Installation
1. Clone the repository:
```
git clone https://github.com/yourusername/equation-solver.git
cd equation-solver
```
2. Create a virtual environment (optional but recommended):
```
python -m venv venv
source venv/bin/activate # On Windows, use `venv\Scripts\activate`
```
3. Install the required packages:
```
pip install -r requirements.txt
```
## Usage
1. Start the Flask application:
```
python app.py
```
2. Open a web browser and navigate to `http://localhost:5000`
3. Upload an image containing a mathematical equation
4. The application will process the image, extract the equation, solve it, and display the results with step-by-step explanations
## Project Structure
- `app.py`: Main Flask application file
- `templates/`: Contains HTML templates for the web interface
- `static/`: Contains static files (CSS, JavaScript, images)
- `uploads/`: Temporary storage for uploaded images
## Contributing
Contributions to this project are welcome. Please follow these steps:
1. Fork the repository
2. Create a new branch (`git checkout -b feature/amazing-feature`)
3. Make your changes
4. Commit your changes (`git commit -m 'Add some amazing feature'`)
5. Push to the branch (`git push origin feature/amazing-feature`)
6. Open a pull request
## License
This project is licensed under the MIT License. See the `LICENSE` file for details.
## Contact
If you have any questions or feedback, please open an issue on the GitHub repository.
## Acknowledgements
- [Flask](https://flask.palletsprojects.com/)
- [OpenCV](https://opencv.org/)
- [Tesseract OCR](https://github.com/tesseract-ocr/tesseract)
- [SymPy](https://www.sympy.org/)