International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Victual: A Web-Based Wellness Tracker for Personalized Lifestyle Monitoring

Abstract

Victual – Towards Wellbeing is a web-based health tracking application designed to help users monitor and improve their daily routines. It focuses on four key areas: water intake, exercise, sleep, and food consumption. The platform offers a user-friendly dashboard for logging data, setting personal goals, and visualizing progress through interactive charts. By analysing user inputs, the system generates personalized health reports and actionable recommendations. These insights help users build better habits, stay motivated, and make informed lifestyle choices. Victual aims to promote wellness and prevent health issues by supporting consistent, structured, and easy-to-maintain health tracking.

Country : India

1 Dr. K.L.S.Soujanya2 Dr. A. Poongodai3 Dr. M. Dheeraj Anirudh4 L.Hinduja5 M. Almisbah6 S. Chandana Reddy

  1. Department of Computer Science and Engineering, G Narayanamma Institute of technology and Science for women, Hyderabad, India
  2. Computer Science and Engineering Department (Artificial Intelligence), Madanapalle Institute of Technology & Science, Angallu, Madanapalle, India
  3. Senior Resident Department of General Medicine, Nizams Institute of Medical Sciences, Hyderabad, India
  4. Department of Computer Science and Engineering, G Narayanamma Institute of technology and Science for women, Hyderabad, India
  5. Department of Computer Science and Engineering, G Narayanamma Institute of technology and Science for women, Hyderabad, India
  6. Department of Computer Science and Engineering, G Narayanamma Institute of technology and Science for women, Hyderabad, India

IRJIET, Volume 9, Special Issue of ICCIS-2025 May 2025 pp. 178-183

doi.org/10.47001/IRJIET/2025.ICCIS-202529

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References

  1. Rajasekharan S. and Vijayalakshmi Pai G. A., Neural Networks, Fuzzy Logic and Genetic Algorithms – Synthesis and Applications, Fifth Edition, PHI, 2005.
  2. S, Horiguchi., S, Amano., M, Ogawa., K, Aizawa.: Personalized Classifier for Food Image Recognition. in IEEE Transactions on Multimedia, vol. 20, no. 10, pp. 2836-2848, doi: 10.1109/TMM.2018.2814339, (2018).
  3. Aparna K., Meghana S., “Web-Based Applications for Wellness Tracking,” Proceedings of International Conference on Smart Systems and Computing, Vol. 4, pp. 78–85, January 2021.
  4. Eduardo, Aguilar., Beatriz, Remeseiro., Marc, Bolaños., Petia, Radeva.: “Grab, Pay and Eat: Semantic Food Detection for Smart Restaurants”, (2017).
  5. Boushey CJ, Spoden M, Zhu FM, Delp EJ, Kerr DA. New Mobile Methods for Dietary Assessment: Review of Image-Assisted and Image-Based Dietary Assessment Methods. Proceedings of the Nutrition Society 2017; 76:283– 294.
  6. Kirkpatrick SI, Subar AF, Tooze JT. Statistical Approaches to Mitigate Measurement Error in Dietary Intake Data Collected Using 24-Hour Recalls and Food Records/Diaries in Advances in the Assessment of Dietary Intake.
  7. Schoeller DE, Westerterp M (Ed.), Editor. 2018, CRC Press: Boca Raton.*The review summarizes the statitsical theory and methods to reduce measurement error in short term dietary assessment methods.
  8. National Cancer Institute [Internet.]. The Measurement Error Webinar Series. 2011. [cited April 1 2020]; Available from: http://riskfactor.cancer.gov/measurementerror/.**This is an in depth series of webinars on sources of measurement error in dietary intake data, and procedures to mitigate these errors.
  9. Kadam Vinay R, K.L.S.Soujanya, Preety Singh Disease prediction by using deep learning based on patient treatment history International Journal of Recent Technology and Engineering, Volume 7, Year 2019, Pages 745-754.
  10. A.Poongodai A Novel Decision Support System for the Prognosis of Park et alinson Disease, proceedings of the sixth international conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC-2022). IEEE Xplore Part Number: CFP22OSV-ART; ISBN: 978-1-6654-6941-8., Volume, Year 2022.

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