Diabetic retinopathy is best diagnosed with a comprehensive dilated eye exam. Exams like Optical Coherence Tomography (OCT) are taken for this purpose. However, this requies expensive OCT machines and expertise to provide the required diagnosis, both of which are lacking in rural and small town areas.
iHelp is our attempt to resolve this problem. With the help of Deep Learning, VGG algorithms and Machine training, we have built an inexpensive and convenient alternative to costly equipment like OCT machines.
This code can be implemented through regular eye scanners for an early detection of Diabetic Retinopathy, thus preventing possible permanent blindness due to diabetic complications.
Faced a few challenges in integrating IPFS but we managed to resolve it by using Moralis web API.