FYP PROJECTS INNOVATION CENTER
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AIOT

GLUCOTWIN is a mobile application designed to help guardians organize diabetes care for children aged 3 to 12. Guardians enter a child’s health measurements and meal details. The application estimates carbohydrates and sends the information to a machine learning model, which produces an insulin-dose prediction for a doctor to review. The application connects three users in one place. Guardians manage child profiles and view results. Doctors check prediction details and give medical recommendations. Administrators approve doctor accounts, assign patients and monitor system records. This proposal explains the problem, the suggested system, the development method, the main features and the safety steps. The project is intended to support medical decisions, not to replace a doctor or independently guide insulin administration.

AI IOT APP ML DL
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AIOT

AI-Driven Insulin Dosage Prediction System

GLUCOTWIN is a mobile application designed to help guardians organize diabetes care for children aged 3 to 12. Guardians enter a child’s health measurements and meal details. The application estimates carbohydrates and sends the information to a machine learning model, which produces an insulin-dose prediction for a doctor to review. The application connects three users in one place. Guardians manage child profiles and view results. Doctors check prediction details and give medical recommendations. Administrators approve doctor accounts, assign patients and monitor system records. This proposal explains the problem, the suggested system, the development method, the main features and the safety steps. The project is intended to support medical decisions, not to replace a doctor or independently guide insulin administration.

AIOT APP DL ML

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