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i-SEE
Project Type
Dashboard based disease detection system.
Python | Flask | MERN | Socket.IO | TensorFlow | OpenCV
Date
Dec’ 21
I-See is an all-in-one solution for diabetic patients, where they can contact an ophthalmologist and share their reports. We also implemented an intelligent solution to diagnose whether a person is suffering from diabetic retinopathy. We designed a user-focused dashboard where all can easily interact with the system.
We used datasets published by California Health Institute and APTOS institute as they are known to have accurate labeling.
We implemented dashboards for patients and doctors in React. Our backend for i-See uses NodeJs with Express and MongoDB as our database. Our Image processing and prediction used Python, and we implemented APIs for disease prediction using flask. We offered real-time chat between patients and doctors using sockets.
