Skin detection Example
Skin Disease Classification: Improved Deep Learning model with better accuracy
Skin Severity Classification: Improved Deep Learning model with better accuracy
Current skin and health condition in Australia especially in rural areas, where it is difficult to find GP and have to travel remotely just for a medical visit.
What it does
Firstly it classifies different skin diseases like Acne, Psoriasis etc. and secondly, once skin disease is predicted it further classifies the severity of that detected disease and recommends the nearest dermatologist and health care centre for further medication.
How I built it
We built it using Xcode for mobile application and used TensorFlow to convert deep learning model and once app approximates that user needs medical attention than it lists the doctors and fixes an appointment with him/her.
Challenges I ran into
Integration into iOS app
Accomplishments that I'm proud of
Successfully integrated into iOS app
What I learned
How to train the Deep Learning model using TensorFlow
What's next for MobiDerma- Skin Condition Detection
To scale our Deep Learning model for all sorts of skin diseases which can be visually approximated. We wish to expand it to all dental problems as well, using the core concept of deep learning.