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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM56303

Fitmind+: AI-Based Health and Wellness Application

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM56303

Volume:

10 |

2 |

Feb 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM56303

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

P

Prince

P

Pushkar

RT

Ritika Tyagi

Kv

Kumar vikrant

MH

Mohammad Haris

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Abstract

The modern digital era is characterized by rapid urbanization, increased work-related stress, and sedentary lifestyles, which have significantly contributed to the rise of physical and mental health issues. Although numerous mobile health (mHealth) applications exist, most focus either on physical fitness or mental wellness, resulting in fragmented health data and reduced user engagement. FitMind+ is proposed as a unified, intelligent health and wellness web application that integrates both physical fitness monitoring and mental wellness assessment into a single platform. The system considers physical parameters such as BMI, activity level, and dietary habits along with psychological factors including mood and stress levels. Based on these inputs, FitMind+ generates personalized workout routines, diet recommendations, and mental wellness suggestions using a rule-based intelligent recommendation system inspired by artificial intelligence principles. The application is developed using modern web technologies and is deployed on Netlify for easy accessibility, while Firebase is used for secure real-time data storage and authentication. FitMind+ aims to reduce application fatigue, enhance personalization, and promote a holistic approach to health management by addressing both physical and mental well-being simultaneously.

KEYWORDS

Artificial Intelligence mHealth Mental Wellness Physical Fitness Personalized Healthcare

Cite This Article

Prince, Pushkar, Ritika Tyagi, Kumar vikrant, Mohammad Haris, "Fitmind+: AI-Based Health and Wellness Application," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 2, Feb 2026. https://doi.org/10.55041/IJSREM56303

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Publication Date

5/1/2026

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Double-Blind Peer Review

Review Rounds: 2

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2

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5

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The authors declare no conflict of interest related to this research work.

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