IoT Enabled Smart Mess with Nutrition Benefits and Waste Management

This research explores the implementation of a smart mess system tailored to meet fitness enthusiast dietary needs through the use of RFID technology integrated with a mobile application. The system begins with people inputting basic information such as height, weight, and any food allergies into the app, which calculates their BMI and stores this data on an RFID card. At the mess gate, an RFID receiver grants access to the automated door, allowing students to enter and receive meal recommendations based on their BMI, including what to eat and in what quantities. In the second scenario, the app provides a solution for people who fall ill by enabling them to order food suitable for their symptoms, thus ensuring they receive proper nutrition even when they cannot physically visit the mess. The third case introduces a smart dishwasher system, where leftover waste is efficiently disposed of, and plates are automatically transported via a conveyor belt to the washing section, streamlining the cleaning process. This smart mess system aims to enhance student health, convenience, and operational efficiency within educational institutions.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/aece62803.2024.10911472
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
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article

IoT Enabled Smart Mess with Nutrition Benefits and Waste Management

Md. Atiqur Rahman, Ankur Utsav, Annu Kumari, Shikha Awasthi et al.
IoT and Edge/Fog Computing
article

IoT Enabled Smart Mess with Nutrition Benefits and Waste Management

Md. Atiqur Rahman, Ankur Utsav, Annu Kumari, Shikha Awasthi, Aniket Kumar
article en

Abstract

This research explores the implementation of a smart mess system tailored to meet fitness enthusiast dietary needs through the use of RFID technology integrated with a mobile application. The system begins with people inputting basic information such as height, weight, and any food allergies into the app, which calculates their BMI and stores this data on an RFID card. At the mess gate, an RFID receiver grants access to the automated door, allowing students to enter and receive meal recommendations based on their BMI, including what to eat and in what quantities. In the second scenario, the app provides a solution for people who fall ill by enabling them to order food suitable for their symptoms, thus ensuring they receive proper nutrition even when they cannot physically visit the mess. The third case introduces a smart dishwasher system, where leftover waste is efficiently disposed of, and plates are automatically transported via a conveyor belt to the washing section, streamlining the cleaning process. This smart mess system aims to enhance student health, convenience, and operational efficiency within educational institutions.

Indian Institute of Technology Patna (IN), Galgotias University (IN), IILM Institute for Higher Education (IN)
Zero hunger
Openalex Percentile: Top 66%
IoT and Edge/Fog Computing
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