Inspiration
Every day people are suffering from skin problem due to · bacteria trapped in skin pores and hair follicles. · fungus, parasites, or microorganisms living on the skin. · viruses. · a weakened immune system. · contact with allergens, irritants, or another person's infected skin. · genetic factors.
What it does
It detect the skin disease by uploading a picture of the skin.
How we built it
Using python ,CNN,computer vision we trained our CNN to detect 7 types of skin diseases and we got 91 % accuracy.
Challenges we ran into
Raising the accuracy , and handling with the CNN model.
Accomplishments that we're proud of
The accuracy we got and the number of disease it detect.
What we learned
What's next for AI-Medical-Diagnosis
Raise the accuracy , and increase the number of disease it detect and make it for android.
Built With
- cnn
- python
- tflearn
- tkinter
Log in or sign up for Devpost to join the conversation.