AI - Based Food Freshness Detection and Recipe Recommendation System

Abstract

Food spoilage and wastage are major concerns in household and small-scale food management due to the absence of reliable freshness assessment methods. This paper proposes an AI-based food freshness detection and recipe recommendation system using computer vision techniques. A Convolutional Neural Network (CNN) is trained on labeled food images to classify items into fresh, medium, and spoiled categories. Image preprocessing through normalization is performed to enhance model performance. Based on the predicted freshness level, the system recommends suitable recipes to encourage timely food consumption. The solution is entirely software-based, making it cost-effective and easy to deploy. Experimental results demonstrate satisfactory classification accuracy, validating the effectiveness of the proposed approach.