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@article{204920,
        author = {Someshwar Bankatrao Gharat and Onkar Raghunath Shelke and Sudarshan Sunil Jagtap and Sachin Subhash Ghusinge and prof.Swati Gade},
        title = {FoodCheck.AI: An Intelligent Food Spoilage Detection and Waste Reduction System Using Computer Vision and Dynamic Pricing},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {4974-4979},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=204920},
        abstract = {Food waste represents a critical global challenge, with billions of tons of edible produce discarded annually due to inefficient spoilage detection and management systems. FoodCheck.AI is a full-stack intelligent platform that addresses this problem through a combination of real-time computer vision, machine learning-based spoilage prediction, and a dynamic price optimization engine. The system integrates a YOLO-based object detection model with a ResNet-50 Convolutional Neural Network (CNN) to classify produce freshness from image input. A logistic regression model handles spoilage prediction for packaged dairy products using sensor-simulated metrics including pH level, bacterial load, days past expiry, and storage temperature. Based on predicted spoilage probability, a dynamic price engine automatically recommends actions: sell at a calculated discount, donate to food banks, or safely dispose. The backend is built with Node.js/TypeScript and MongoDB, exposing RESTful and WebSocket APIs for real-time video analysis. The frontend, built with React and TypeScript, features an admin dashboard with AI insights, geospatial analytics, waste reduction charts, and rescue request management. Results demonstrate that FoodCheck.AI achieves high detection accuracy and significantly reduces food waste through actionable, data-driven recommendations.},
        keywords = {Food Spoilage Detection, Computer Vision, YOLOv8, ResNet-50, Dynamic Pricing Engine, Food Waste Reduction, FastAPI, React, MongoDB, Machine Learning, Convolutional Neural Network, Food Rescue.},
        month = {June},
        }