Minimizing Food Waste Through AI-Driven Pantry Optimization

Product/Design: Led the development of a meal-planning app for a class project that uses AI and receipt scanning to suggest personalized recipes, reduce food waste, and track nutrition—offering a more sustainable way to eat.
View Final DesignsMany people struggle with food waste due to poor meal planning and untracked pantry items. Despite the rise of nutrition apps, most fail to consider what users already have, resulting in overspending and expired ingredients.

Households are wasting ingredients due to poor inventory tracking
We designed a mobile app that combines real-time pantry tracking, personalized recipe suggestions, and a reward system for sustainable choices. Users can scan receipts to auto-update their pantry, receive expiry alerts, and plan meals based on what they already own.
Explored gaps in current food apps and user behavior data around food waste. Identified key features like expiry tracking, nutrition info, and personalized suggestions.
Sketched low-fidelity wireframes and iterated on designs in Figma with a focus on reducing cognitive load and increasing user retention.
Conducted usability testing sessions using interactive Figma prototypes. Gathered feedback, leading to multiple design iterations.
Outlined proposed technologies, including React for the interface and Flask + Firebase for backend services. Researched APIs for seamless pantry tracking.
Literature review on food waste and user behavior, identifying key features for the app
Figma mockup of the app (login, achievements, pantry, and recipe pages). The design evolved through multiple iterations based on feedback