Diet Recommendation and Fitness Using Machine Learning

Neeraj NalawadeStudent, Electronics and Telecommunication Engineering, JSPM's Rajarshi Shahu College of Engineering, Pune, Maharashtra, IndiaHimanshu DeoreStudent, Electronics and Telecommunication Engineering, JSPM's Rajarshi Shahu College of Engineering, Pune, Maharashtra, IndiaLancer LoboStudent, Electronics and Telecommunication Engineering, JSPM's Rajarshi Shahu College of Engineering, Pune, Maharashtra, IndiaDr. Shailaja PatilProfessor, Electronics and Telecommunication Engineering, JSPM's Rajarshi Shahu College of Engineering, Pune, Maharashtra, India

Vol 7 No 6 (2023): Volume 7, Issue 6, June 2023 | Pages: 147-152

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 23-06-2023

doi Logo doi.org/10.47001/IRJIET/2023.706023

Abstract

The fitness industry market has become one of the most important social transformations of the 21st century. After COVID-19 the importance of maintaining good health and stamina has increased. The number of people interested in sport has not stopped to increase, so we can speak about a field with dual demographic and economic issues. As the popularity of gym and fitness clubs has increased it has been difficult to maintain the data using the traditional method of pen and paper or a normal excel sheet. We observed a need to maintain the database of the gym members in order keep track of the members attending the gym, to maintain their personal details and subscription package. As we know for maintaining and improving the health of the Gym members along with regular usage of the gym eating the right food in specific quantity is required to achieve the required goals of the gym member. Most of the gym going people especially in India neglect the diet part of the workout or spend hefty amounts of money to acquire the same which is not cost effective.

Keywords

Diet, Fitness, Machine Learning, AI, Gym, health


Citation of this Article

Neeraj Nalawade, Himanshu Deore, Lancer Lobo, Dr. Shailaja Patil, “Diet Recommendation and Fitness Using Machine Learning” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 6, pp 147-152, June 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.706023

References
  1. Manal Chokr and Shady Elbassuoni, “Calories Prediction from Food Images”, Innovative Applications of Artificial Intelligence Twenty - Ninth IAAI Conference, 2017.
  2. Kohila R and Meenakumari R, “Predicting calorific value for mixed food using image processing”, In Proceedings of the 2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), 2017, pp. 1–4.
  3. Kiran Abhore and Dawande N A, “Measuring Calories and Nutrition from Food Image”, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 5, Issue 6, 2016.
  4. Liu C, Cao Y, Luo Y, Chen G, Vokkarane V and Ma Y, “Deepfood: Deep learning-based food image recognition for computer aided dietary assessment”, International Conference on Smart Homes and Health Telematics, 2016, pp. 37-48. doi: https://doi.org/10.1007/978-3-319-39601-9_4.
  5. Yanchao Liang and Jianhua Li, “Deep Learning-Based Food Calorie Estimation Method in Dietary Assessment”, 2018, arXiv preprint arXiv: 1706.04062.
  6. Liang, Y., & Li, J. (2017). Deep Learning-Based Food Calorie Estimation Method in Dietary Assessment. ArXiv, abs/1706.04062.
  7. Podutwar, M. A., Pawar, P. P., & Shinde, P. A. (2017). A Food Recognition System for Calorie Measurement.