TOP 15 CAPSTONE PROJECT BANGKIT 2022 : GLUCARE (C22-PS266) | One of 15 Winners for $10000 from Google and Kemenristekdikti
(Machine Learning) M2015G1412 – Rendy Mahaputra – Universitas Negeri Yogyakarta
(Machine Learning) M2312F2693 – Yasmin Mufidah – Universitas Sebelas Maret
(Mobile Development) A7128F1572 – Leo Anang Miftahul Huda – Politeknik Negeri Jakarta
(Mobile Development) A7268F2319 – Rafif Apta Reswara – Universitas Muhammadiyah Surakarta
(Cloud Computing) C2268F2313 – Adelia Putri Nur Ahni – Universitas Muhammadiyah Surakarta
(Cloud Computing) C2268F2315 – Gita Juli Hartanti – Universitas Muhammadiyah Surakarta
"GluCare: check your potential diabetes through eye images" is an application that provides health services. This app helps users predict their diabetes level through eye photos. This application also provides assistance to doctors in predicting X-rays of the eyes to check the diagnosis of diabetic retinopathy. For the next feature's app we would to add some function that we called (1) GluControl, (2) GluCheck, and (3) GluAssistant
Goals:
- Helping people predict diabetes easily, quickly and affordably.
- Help increase people's awareness to check blood sugar levels regularly
- Helping doctors analyze the results of eye X-rays related to the diagnosis of diabetic retinopathy
- Diabetic retinopathy dataset : https://www.kaggle.com/datasets/tanlikesmath/diabetic-retinopathy-resized
- Diabetes detection from eye images : https://www.kaggle.com/datasets/mariaherrerot/aptos2019
- Eye predict : https://www.kaggle.com/datasets/almightyj/person-face-dataset-thispersondoesnotexist
- Have collaboration with around 10 hospitals in Yogyakarta and Solo to obtain the datasets. This is to make sure our app development is linear to health issue and health matters