Coder School FTMLE in-class exercise based on hoahh2201 project about "OCR Handwritten Digits and Maths Performance". The lite version can detect handwritten sketch on canvas and can do simple plus + and minus - operations. The final evaluated result will be returned.

• tensorflow 2.0
• flask
• imutils
• mahotas
• opencv

1. Clone this repository to your local machine.
2. Change directory to model_ml, train the multidigit_classifier.ipynb with complete_data set.
3. Fine tune and export the model.
4. Work on preprocess_with_opencv.ipynb to transform a raw image into what our model can predict.
5. Finish the discussions at the end of the notebook.
6. Move to app and copy the code you did on preprocess_with_opencv.ipynb to main.py regarding the "YOUR PART" pointer.

🏵 Extra:

7. Re-design the flaskapp or Adding more maths expression to the model.
8. Get a good sleep because if you reach this point, you are probably tired and really in need of some self care 💆🏻‍♀️ Come back later for more challenge. 💙