InsuSure

SIMATS

About this app

Developed a comprehensive mobile application for predicting insulin levels using machine learning algorithms, aimed at improving diabetes management for patients and doctors. The app allows users to input real-time blood sugar levels, which are analyzed using predictive models to determine the appropriate insulin dosage. Key features include tracking daily insulin intake, viewing trends through interactive graphs, and accessing historical data for better decision-making. Built using React Native for cross-platform functionality, the app ensures a smooth and responsive user experience. It also integrates with a PHP backend for secure data storage and retrieval, enabling personalized insights for each user. Designed with user-centric functionalities like session management, reminders, and detailed analytics, the app empowers users to manage their health more effectively. This innovative solution bridges the gap between traditional healthcare and modern technology, providing a reliable tool for personalized diabetes care.