This repository contains the project roadmap, pitch deck and research paper.
Overview: GlycoSnap uses YOLOv8 to recognize food items and calculate their glycemic load (GL), helping users make informed dietary decisions.
Features: ✅ Food recognition using AI ✅ Glycemic load estimation ✅ Portion size approximation
Team: Kaigu Ann: Full stack developer Zawadi Muthoni: Machine learning engineer Levi Mutugi: Backend developer Leila Kendi: Machine learning engineer Matere Hans: Machine learning and AI engineer