Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
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
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.
Diet, Fitness, Machine Learning, AI, Gym, health
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
This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence