Link to download datasets https://www.kaggle.com/kmader/skin-cancer-mnist-ham10000 Then extract the datasets with .csv files into same folder Skin-Cancer-Detector-using-CNN That is : HAM10000_metadata.csv HAM10000_images_part_1 HAM10000_images_part_2
Required Libraries : Web framework : Flask Tensorflow Matplotlib Keras Numpy Pandas Sklearn These above libraries are mandatory.
Steps to follow Step 1 : Run Skin_Cancer_model.ipynb flie in jupyter. Step 2 : At final step of Training the model , save that model into models folder. Step 3 : Give the path of saved Model in app.py (Model= load_model('models/model_pro1.h5') ) Step 4 : Now run app.py file to get UI of Model.