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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM56303
Volume:
10 |
2 |
Feb 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
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
Publication Date
5/1/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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