Food Safety detection using CNN and RNN

This project uses CNN and RNN techniques to detect food safety. A Convolution Neural Network (CNN) analyzes images of fruits to classify them as fresh or rotten. Along with this, a simple RNN-based temperature logic is used to evaluate spoilage risk based on environmental conditions. The system combines both results to determine whether the food is safe to eat or unsafe, providing a smarter and more reliable food quality assessment.