SCP PACKING FOR REAL TIME FOOD SPOILING DETECTION

Abstract: Food spoilage remains a critical challenge in global food supply chains, contributing significantly to waste, economic loss, and public health risks. Traditional packaging solutions, while effective in preserving food for limited durations, lack the capability to provide real-time monitoring of spoilage conditions. This paper introduces SCP-SmartPack AI, an advanced AI-driven platform that integrates Single-Cell Protein (SCP) based biodegradable smart packaging with machine learning algorithms for real-time food spoilage detection. The system architecture combines sensor data acquisition, preprocessing, and predictive modeling with a React-based visualization interface, enabling consumers and retailers to monitor food quality dynamically. Experimental results demonstrate that the proposed system achieves high accuracy in spoilage prediction, reduces food waste, and promotes sustainability through biodegradable packaging. By leveraging SCP materials and AI analytics, SCP-SmartPack AI represents a novel contribution to food technology, offering a scalable solution for enhancing food safety, extending shelf life, and supporting eco-friendly practices. Future work will explore large-scale deployment, blockchain integration for supply chain traceability, and advanced reinforcement learning models to further optimize spoilage detection and packaging efficiency

Keywords: Smart Packaging, Single-Cell Protein, Artificial Intelligence, Food Spoilage Detection, Biodegradable Materials, React, Vite, Typescript, Generative AI.