In today's modern world, the issue of food spoilage poses a significant challenge, as consuming spoiled meals can be hazardous to consumers' health. Our objective is to develop a solution for detecting spoiled food by employing suitable sensors that monitor gasses released by various food items. By utilizing a microcontroller equipped with Internet of Things (IoT) capabilities, an alert can be issued, prompting appropriate action to be taken. This technology has the potential for widespread application in the food industry, where manual food detection is currently employed. Our plan is to create devices that can learn and adapt to this detection process, enabling us to estimate the likelihood of food spoilage and predict the timeframe within which it may occur, especially when sourced from specific suppliers. By implementing this system, we aim to foster increased competition among retailers, encouraging them to prioritize the sale of healthier and fresher food products. Ultimately, this will contribute to the creation of a safer environment for all consumers. To achieve our goals, we propose the integration of Internet of Things (IoT) and Machine Learning (ML) technologies in food freshness detection. This system is designed to assist food suppliers and retailers in monitoring the freshness of their food products. The proposed system employs a combination of IoT devices and ML algorithms to identify changes in the freshness of food items. IoT-enabled sensors are utilized to gather data from the surrounding environment, which is then processed by ML algorithms to detect any deviations in the freshness of the food products. In instances where the freshness begins to deteriorate, the system promptly notifies the food suppliers and retailers, enabling them to take immediate action. We have conducted thorough testing of the proposed system through a case study, and the results demonstrate its effectiveness in detecting changes in the freshness of food products. The integration of a microcontroller equipped with IoT capabilities ensures timely alerts, facilitating the necessary actions to prevent the sale or consumption of spoiled food. This technology has the potential to revolutionize the food industry by automating and improving the detection of food spoilage, thereby safeguarding the health and well-being of consumers. In summary, our proposed solution utilizes IoT and ML to detect changes in food freshness. By leveraging IoT-enabled sensors and ML algorithms, we can monitor and predict the likelihood of food spoilage, enabling suppliers and retailers to take appropriate measures. This approach not only fosters competition among retailers to provide healthier and fresher food but also ensures a safer and more secure food supply chain for consumers worldwide.