The Food Spoilage Detection System utilizes a combination of gas, image, and temperature sensors to monitor food quality indicators. Real-time data is collected, and Arduino microcontroller analyzes changes in temperature, pH and humidity patterns to accurately classify spoilage levels. It offers timely intervention, reducing economic losses and health risks. The non-invasive system can be integrated across the food supply chain, enhancing overall quality assurance. Through early spoilage detection, the system minimizes physical inspections and contamination risks. Its data-driven approach revolutionizes traditional quality control methods. This innovation holds potential to significantly reduce food waste and improve industry practices.