Inspiration
we lost a friend to diabetes because it wasn't detected early enough, the failure to recognize the complexities in which diabetes symptoms present themselves is why we lost our friend. So we set out to build a model that could recognize those complexities early enough and present them to the medical practitioners.
What it does
The system helps medical practitioners irrespective of their skill level to ascertain the differential complications of diabetes that their patients might be having.
How we built it
Back-end was built using python together with machine learning Front-end was built using laravel with a php core background
Challenges we ran into
gathering data was a big challenge
Accomplishments that we're proud of
Being able to deliver the minimum viable working product that can detect the right diabetes type to ease the work of the practitioners
What's next for Smart Diabetes Diagnosis System
Being able to detect more diseases other than Diabetes
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