Advanced International Journal for Research

E-ISSN: 3048-7641   •   Impact Factor: 9.11

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Volume 6 Issue 6
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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
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E-ISSN 3048-7641
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