Hi so, I worked for a long time on the connection with JS and python, the moment that Im publishing this devlog is the moment the cnn is getting trained, it will take about 15-30 min to finish training, so i’ll talk about what I made.
So I activated a virtual enviroment (.venv) and installed a lot of dependencies, I thought about using an already trained cnn but I decided to train my own. I used tools such as python, .venv, flask, opencv, numpy, scikit-learn, joblib and well the kaggle dataset. Rn the training and processing of MRI images is being held by the model. Once it finishes training we will connect the model to a Flask API and integrate it with the web interface for real-time predictions. I would like that you give me feedback of how I can make it easier Also you can take a look at how the web interface turned out., in my opinion it look reallyyyyy good