This invention aims to reduce food waste by using a machine learning system. It works by monitoring individual food items with sensors to predict how long each item will remain fresh and safe to eat. Based on these predictions, the system then suggests daily menus that prioritize using food items nearing their spoilage date, specifically mentioning sensors for light exposure and reflected light as inputs for the predictions.
Why it matters: Since 2019, the cost and accuracy of food-monitoring sensors, especially for light, have improved, alongside more accessible and powerful machine learning platforms for predictive modeling.
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