Harnessing Open-Source Technology for Reliable Dietary Monitoring

Yelithoti Sravana Kumar; Neelima Mummidivarapu; Mounika Bocha; Dharni Samkalppa Janga; Sahitya Kamireddi

doi:10.2991/978-94-6463-858-5_181

<Previous Article In Volume

Next Article In Volume>

Harnessing Open-Source Technology for Reliable Dietary Monitoring

Authors

Yelithoti Sravana Kumar¹^{, *}, Neelima Mummidivarapu¹, Mounika Bocha¹, Dharni Samkalppa Janga¹, Sahitya Kamireddi¹

¹Department of ECE, Vignan’s Institute of Engineering for Women(A), Visakhapatnam, AP, India

^*Corresponding author. Email: sravan.yelithoti@gmail.com

Corresponding Author

Yelithoti Sravana Kumar

Available Online 4 November 2025.

DOI: 10.2991/978-94-6463-858-5_181 How to use a DOI?
Keywords: Food Tracking System; Dietary Management; Mobile App Integration; Nutritional App; Health Monitoring
Abstract: The project is about creating an Arduino based system for tracking food intake that effectively monitors food intake through a mix of hardware and IoT technology. At the center of the system is an Arduino UNO, with a load cell for accurate weight measurement of food, push buttons for user inputs, an LCD display for real-time information presentation, and a Bluetooth module for easy wireless communication. The system works based on the loading of food onto the load cell, which weighs, and users are assisted in entering the kind of food eaten using push buttons. From the input provided, the system computes the related calorie consumption using data that has already been preprogrammed. The information gathered is relayed through IoT to a mobile app, where it is saved, processed as values and comprehensive reports. This application offers an easyto-use interface to facilitate individuals especially diabetic patients and sport people to track daily food intake, follow customized plans, and ensure healthy food habits. Through real-time monitoring, calorie calculation, and fact-based information, this project focuses on improving nutritional consciousness and advancing a balanced diet based on personal health requirements.
Copyright: © 2025 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume

Next Article In Volume>

Volume Title: Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
Series: Advances in Computer Science Research
Publication Date: 4 November 2025
ISBN: 978-94-6463-858-5
ISSN: 2352-538X
DOI: 10.2991/978-94-6463-858-5_181 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Yelithoti Sravana Kumar
AU  - Neelima Mummidivarapu
AU  - Mounika Bocha
AU  - Dharni Samkalppa Janga
AU  - Sahitya Kamireddi
PY  - 2025
DA  - 2025/11/04
TI  - Harnessing Open-Source Technology for Reliable Dietary Monitoring
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 2173
EP  - 2183
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_181
DO  - 10.2991/978-94-6463-858-5_181
ID  - Kumar2025
ER  -

download .riscopy to clipboard