The problem FrescoGuard solves

Fresco Guard is a comprehensive solution that tackles key challenges within crop management and food preservation, offering a multifaceted approach to address pressing issues. At its core, the project is designed to combat the global problem of food waste by leveraging real-time spoilage predictions and actionable recommendations. This real-time monitoring system ensures that fruits and vegetables are stored under optimal conditions, significantly minimizing unnecessary spoilage and waste.

One of the primary objectives of Fresco Guard is to optimize warehouse efficiency. By providing insights into storage conditions and shelf life, the project aids in making informed decisions about inventory management. This optimization not only leads to more efficient resource allocation but also contributes to the reduction of losses within the supply chain.

The machine learning models employed by Fresco Guard play a pivotal role in enhancing crop quality. Through early detection capabilities, the system identifies potential spoilage factors, preventing issues such as mold or bacterial growth. This proactive approach ensures that stored crops maintain their quality, aligning with the broader goal of sustainable agricultural practices.

Challenges we ran into

Fresco Guard is a comprehensive solution that tackles key challenges within crop management and food preservation, offering a multifaceted approach to address pressing issues. At its core, the project is designed to combat the global problem of food waste by leveraging real-time spoilage predictions and actionable recommendations. This real-time monitoring system ensures that fruits and vegetables are stored under optimal conditions, significantly minimizing unnecessary spoilage and waste.

One of the primary objectives of Fresco Guard is to optimize warehouse efficiency. By providing insights into storage conditions and shelf life, the project aids in making informed decisions about inventory management. This optimization not only leads to more efficient resource allocation but also contributes to the reduction of losses within the supply chain.

The machine learning models employed by Fresco Guard play a pivotal role in enhancing crop quality. Through early detection capabilities, the system identifies potential spoilage factors, preventing issues such as mold or bacterial growth. This proactive approach ensures that stored crops maintain their quality, aligning with the broader goal of sustainable agricultural practices.