Glycemic Index Estimator

Maintaining stable blood sugar levels can be challenging, and consumers often struggle to understand how the foods they eat impact their health.

This project aimed to simplify that process by creating a Glycemic Index Estimator app that empowers users to make healthier choices through AI-driven insights.

The app allows users to scan the front and back of food packages to instantly receive a glycemic index score, categorizing foods into low, mid, or high risk for blood sugar spikes.

It provides actionable tips on how to improve meal choices and supports ongoing tracking through a personalized log of scans.

Onboarding guides users through the app's functionality, explains ingredient-specific index scores, and introduces features for logging and monitoring their progress.

Design efforts focused on creating intuitive user flows, clear visual feedback, and a seamless experience that balances actionable information with simplicity.

Iterative testing ensured the AI-generated recommendations were understandable and trustworthy, while the interface maintained clarity across multiple scanning and logging scenarios.

The result is a personalized, easy-to-use tool that helps users monitor and manage their blood sugar, promotes healthier eating habits, and delivers actionable guidance through AI-powered insights—all in the palm of their hand.