Food Tracking System Using Machine Learning

Author(s)	Divyashri S, Mohammed Shoaib Zeeshan, Siba Sundar Das, Dr. Swetha Rani L
Country	India
Abstract	This research introduces a comprehensive food tracking system that leverages machine learning to monitor food quality, predict spoilage, and optimize inventory management. The system utilizes Internet of Things (IOT) devices to collect real-time data on temperature, humidity, and gas concentrations, then employs Machine Learning (ML) algorithms to analyze this data and predict food freshness. A web-based dashboard and mobile app provide remote access to the data, enabling users to monitor food status and receive alerts when spoilage is imminent. This approach aims to reduce food waste, ensure consumer access to fresh food, and enhance efficiency in food supply chains.
Keywords	Food Tracking
Field	Engineering
Published In	Volume 6, Issue 6, November-December 2025
Published On	2025-12-23
DOI	https://doi.org/10.63363/aijfr.2025.v06i06.2709
Short DOI	https://doi.org/hbg7bb

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