Inspiration
Our inspiration came from the danger of skin-related diseases, along with the rising costs of medical care. DermaFix not only provides an alternative free option for those who can't afford to visit a doctor due to financial issues but provides real-time diagnosis.
What it does
Scans and analyzes the user's skin, determining if the user has any sort of skin disease. If anything is detected, possible remedies are provided, with a google map displaying nearby places to get treatment.
How we built it
We learned to create a Flask application, using HTML, CSS, and Javascript to develop the front end. We used TensorFlow, feeding an image classifier machine learning model to differentiate between clear skin and 20 other skin diseases.
Challenges we ran into
Fine-tuning the image classifying model to be accurate at least 85% of the time.
Accomplishments that we're proud of
Creating a model that is accurate 95% of the time.
What we learned
HTML, CSS, Flask, TensorFlow
What's next for Derma Fix
Using a larger dataset for a much more accurate diagnosis, along with more APIs to be used, in order to contact nearby doctors, and automatically set appointments for those that need it
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