International Journal of Scientific Research and Engineering Development

Food spoilage is a big problem in the world today, which leads to economic, health-related, and food waste problems. The traditional way to identify the freshness of food products was through the use of human senses, which was not efficient. This paper proposes a system to identify the freshness of food products through the use of Artificial Intelligence, Computer Vision, and IoT technologies. The system is referred to as “Food Fresh Vision.” The system uses a Convolutional Neural Network to identify the freshness of the food product as either fresh or spoiled. For the case of liquid food products, the system uses pH sensors and gas sensors known as MQ-135 sensors. sensors then send its readings to a web application through the use of the ESP32 microcontroller. The proposed system can be able to identify the freshness of the food product with an accuracy rate of 92%.

Dr.M B Anandraju, Ms.Poorvika, Ms.Lisha C R, Mr.Vishwa R, Ms.Manya G N, Ms.Saraswathi J M,"Food Fresh Vision – AI-Powered Freshness Checker" International Journal of Scientific Research and Engineering Development, V9(3): Page(1536-1543) May-June 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.