RFID-Smart-Storage-Monitoring-System

"RFID-Based Smart Storage Monitoring System.”

Inspiration Every year, a huge amount of food is wasted because spoilage is detected too late. In small shops, supermarkets, and food warehouses, food products are often stored without continuous monitoring of temperature, humidity, or spoilage gases. As a result, many food items become unusable before anyone notices. This leads to financial loss for businesses and increases global food waste.

Our team wanted to solve this problem by creating a smart monitoring system that can detect food spoilage early and help businesses take action before food is wasted. We developed an AI-powered food spoilage prediction system that combines IoT sensors, RFID technology, and artificial intelligence. Sensors monitor environmental conditions such as temperature, humidity, and gas levels in the storage area. Each food packet is attached with an RFID tag so the system can identify and track individual items. All the collected data is processed by an ESP32 microcontroller and analyzed using an AI model that predicts the freshness of food. The system classifies products as Fresh, Spoiling Soon, or Spoiled. If the system detects a spoilage risk, it immediately sends alerts so the shop owner can take action such as selling the product faster, offering discounts, or adjusting storage conditions. This solution helps reduce food waste, improve food safety, and save money for businesses. Our system can be used in small shops, supermarkets, restaurants, warehouses, and even smart homes. By combining AI, IoT sensors, and RFID tracking, our project aims to create a smarter and more sustainable food supply chain while helping reduce global food waste.