This document presents a food spoilage detection system that utilizes sensors and data analysis to detect signs of food spoilage in real-time and provide alerts. The system aims to enhance food safety, cut costs by preventing food loss and spoilage, and reduce food waste by leveraging technology like sensors and machine learning. It collects data on indicators of spoilage using sensors for temperature, humidity, and other factors. Machine learning is then used to analyze the data and identify patterns that can provide early detection of spoilage. When spoilage is detected, the system provides real-time alerts to consumers or businesses.