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International Journal of Science, Strategic Management and Technology

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NUTRIFITPRO: AI-BASED PERSONALIZED FITNESS AND DIET RECOMMENDATION SYSTEM

AUTHORS:
Jaya Rameshwaram Suryavanshi
Sneha Milind Jadhav
Aakanksha Aaba Deore
Aditi Santosh Dawange
Rutuja Devidas Suryavanshi
Dhiraj Abhiman Birari
Mentor
Affiliation
Department of Information Technology, MVPS’s KBT College of Engineering, Nashik, India
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

In today’s fast-paced world, keeping a healthy lifestyle is a major challenge. Most fitness apps offer general plans that don’t meet the specific needs of users. This paper introduces NutriFitPro, an AI-based system for personalized fitness and diet recommendations. The system gathers user data like age, weight, height, and fitness goals, and calculates BMI and daily calorie needs. Using this information, it creates tailored


diet and workout plans with AI techniques. The results show that the system gives accurate, user-specific recommendations, which boosts user engagement and helps people maintain a healthier lifestyle. The proposed system is simple, effective, and easy to use

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Suryavanshi, J. R., Jadhav, S. M., Deore, A. A., Dawange, A. S., Suryavanshi, R. D. & Birari, D. A. (2026). Nutrifitpro: AI-Based Personalized Fitness and Diet Recommendation System. International Journal of Science, Strategic Management and Technology, 02(04). https://doi.org/10.55041/ijsmt.v2i4.238

Suryavanshi, Jaya, et al.. "Nutrifitpro: AI-Based Personalized Fitness and Diet Recommendation System." International Journal of Science, Strategic Management and Technology, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i4.238.

Suryavanshi, Jaya,Sneha Jadhav,Aakanksha Deore,Aditi Dawange,Rutuja Suryavanshi, and Dhiraj Birari. "Nutrifitpro: AI-Based Personalized Fitness and Diet Recommendation System." International Journal of Science, Strategic Management and Technology 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i4.238.

References
[1]. Azzimani, K., Bihri, H., Dahmi, A., Azzouzi, S., & Charaf, M. E. H. (2022, December). An AI Based Approach for Personalized Nutrition and Food Menu Planning. In 2022 IEEE 3rd International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS) (pp. 1–5). IEEE. https://doi.org/10.1109/ICECOCS55148.2022.9983099⁠

[2]. Balpande, M., Sharma, J., Nair, A., Khandelwal, M., & Dhanray, S. (2023, August). AI Based Gym Trainer and Diet Recommendation System. In 2023 IEEE 4th Annual Flagship India Council International Subsections Conference (INDISCON) (pp. 1–7) IEEE. https://doi.org/10.1109/INDISCON58499.2023.10270066⁠

[3]. Lokuge, C., & Ganegoda, G. U. (2021, September). Implementation of a Personalized and Healthy Meal Recommender System in Aid to Achieve User Fitness Goals. In 2021 International Research Conference on Smart Computing and Systems Engineering (SCSE) (pp. 84–93). IEEE. https://doi.org/10.1109/SCSE53661.2021.9568335⁠

[4]. Baruah, A., Madhavi Koti, V., Pandey, V., Gungewale, S. M., Reddy, N. S., & Gupta, M. (2023, April). Machine Learning Based Yoga Recommendation System for the Physical Fitness. In 2023 Eighth International Conference on Science Technology Engineering and Mathematics (ICONSTEM) (pp. 1–7). IEEE. https://doi.org/10.1109/ICONSTEM56934.2023.10142367⁠

[5]. Islam, T., Joyita, A. R., Alam, Md. G. R., Hassan, M. M., Hassan, Md. R., & Gravina, R. (2023, August). HumanBehaviorBased Personalized Meal Recommendation and Menu Planning Social System. IEEE Transactions on Computational Social Systems, 10(4), 2099–2110. https://doi.org/10.1109/TCSS.2022.3213506⁠

[6]. Mogaveera, D., Mathur, V., & Waghela, S. (2021, January). eHealth Monitoring System with Diet and Fitness Recommendation using Machine Learning. In 2021 6th International Conference on Inventive Computation Technologies (ICICT) (pp. 694–700). IEEE. https://doi.org/10.1109/ICICT50816.2021.9358605⁠

[7]. Mahale, R., Vyas, M., & Malge, S. (2025). NutriFit: Smart Nutrition and Personalized Meal Planning System. 12(05).

[8]. Jaiswal, J. K., & Samikannu, R. (2017, February). Application of Random Forest Algorithm on Feature Subset Selection and Classification and Regression. In 2017 World Congress on Computing and Communication Technologies (WCCCT) (pp. 65–68). IEEE. https://doi.org/10.1109/WCCCT.2016.25⁠

[9]. Nagarkoti, A., Teotia, R., Mahale, A. K., & Das, P. K. (2019, July). Realtime Indoor Workout Analysis Using Machine Learning Computer Vision. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 1440–1443). IEEE. https://doi.org/10.1109/EMBC.2019.8856547⁠

[10]. Arefeen, A. S., Fessler, S., Mostafavi, S. M., Johnston, C. S., & Ghasemzadeh, H. (2025, March). MealMeter: Using Multimodal Sensing and Machine Learning for Automatically Estimating Nutrition Intake. arXiv preprint arXiv:2503.00123.
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This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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