This web application (Project for Sistemas Inteligentes at UPM) uses a Convolutional Neural Network (CNN) to translate handwritten math equations into LaTeX and Python function code.

You can try out the demo here.

• API Endpoints
• Contributing
• License

• URL: /upload
• Method: POST
• Description: Upload a file to the server.
• Request:
  • file: The file to upload.
• Response:

  { "message": "File uploaded successfully!" }

• URL: /process
• Method: GET
• Description: Process the uploaded image.
• Response:

  { "message": "Image processed successfully!", "num_segments": "<number_of_segments>" }

• URL: /download
• Method: GET
• Description: Download processed images.
• Parameters:
  • image: The type of image to download (processed, contours, segmented).
  • n: The segment number (for segmented images).
• Response: The requested image file.

• URL: /predict
• Method: GET
• Description: Get the LaTeX and Python function code for the predicted equation.
• Response:

  { "latex": "<latex_code>", "python": "<python_function_code>" }

Contributions are welcome! Please open an issue or submit a pull request.

This project is licensed under the MIT License. See the LICENSE file for details.