Leveraging Deep Learning for Tracking Calories in Food

Trained a deep-learning model (MobileNetV2 transfer learning, 56 food classes, ~91% test accuracy) to recognize food from a photo and estimate its calorie content, aimed at replacing error-prone manual calorie tracking. Built as a Streamlit app with automatic calorie lookup.