Access to safe and nutritious food remains a global challenge, particularly for vulnerable communities facing food insecurity. To help address this pressing issue, our project offers a comprehensive solution that enhances the processes of food donation, safety inspection, and meal preparation. Our goal is to ensure that food received by food banks is safe, properly stored, and efficiently distributed in alignment with the nutritional needs of beneficiaries.

Good2Go introduces a smart, end-to-end system that streamlines food donation and distribution through automation and AI. Using specialized machine learning models for different food types and gas sensors, the system performs detailed inspections to detect spoilage, damaged packaging, and expired items. Healthy food is then logged into a server-managed database that tracks shelf life and labels items according to dietary needs such as allergies or chronic conditions. A recommendation engine creates personalized meal boxes based on these needs, ensuring efficient and equitable resource use. Food bank staff interact through an intuitive dashboard to manage donations, monitor inventory, create meal boxes, and track performance metrics. To maintain hygiene, the system follows strict food safety protocols and alerts the food bank whenever sanitation is needed.