Machine Learning Based Health Hub (Health Diary)

Modern lifestyles, characterized by sedentary behaviour and dietary imbalances, have led to an alarming rise in lifestyle-related diseases, posing significant health challenges globally. Addressing these issues requires innovative and comprehensive health management solutions. Health Hub is a state-of-the-art platform designed to combat these challenges by leveraging cutting-edge technologies. It integrates seamlessly with APIs like Spoonacular and Edamam to provide a holistic health management experience. The Health Hub platform is meticulously structured into four main sections: the Diet Library, Food Library, Exercise section, and Disease Prediction tool. The Diet Library offers users in- depth insights into various diet types, such as keto, vegetarian, and gluten-free options, along with effective calorie management strategies. The Food Library complements this by providing a rich repository of nutritious recipes and personalized diet plans, tailored to individual dietary preferences and nutritional needs. Health Hub's responsive interface and robust security measures ensure a seamless and secure user experience, safeguarding sensitive health data. By amalgamating advanced technologies with personalized guidance and real-time health insights, Health Hub redefines proactive healthcare management. It empowers individuals to make informed health decisions, access tailored insights, and maintain optimal well-being with the support of advanced tools and technologies. This innovative approach not only facilitates comprehensive health management but also fosters a proactive and informed approach to personal health, ultimately contributing to improved health outcomes and enhanced quality of life.

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Publication Details

Published
2024-11-07
DOI
https://doi.org/10.1109/csitss64042.2024.10816868
Citations
1
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.71
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article

Machine Learning Based Health Hub (Health Diary)

Shruti Patil, Farooque R Sayyed, Shivappa M Metgar, Tejas Pulli
1 citations
Artificial Intelligence in Healthcare
0.71
article

Machine Learning Based Health Hub (Health Diary)

Shruti Patil, Farooque R Sayyed, Shivappa M Metgar, Tejas Pulli
article en
1 citations

Abstract

Modern lifestyles, characterized by sedentary behaviour and dietary imbalances, have led to an alarming rise in lifestyle-related diseases, posing significant health challenges globally. Addressing these issues requires innovative and comprehensive health management solutions. Health Hub is a state-of-the-art platform designed to combat these challenges by leveraging cutting-edge technologies. It integrates seamlessly with APIs like Spoonacular and Edamam to provide a holistic health management experience. The Health Hub platform is meticulously structured into four main sections: the Diet Library, Food Library, Exercise section, and Disease Prediction tool. The Diet Library offers users in- depth insights into various diet types, such as keto, vegetarian, and gluten-free options, along with effective calorie management strategies. The Food Library complements this by providing a rich repository of nutritious recipes and personalized diet plans, tailored to individual dietary preferences and nutritional needs. Health Hub's responsive interface and robust security measures ensure a seamless and secure user experience, safeguarding sensitive health data. By amalgamating advanced technologies with personalized guidance and real-time health insights, Health Hub redefines proactive healthcare management. It empowers individuals to make informed health decisions, access tailored insights, and maintain optimal well-being with the support of advanced tools and technologies. This innovative approach not only facilitates comprehensive health management but also fosters a proactive and informed approach to personal health, ultimately contributing to improved health outcomes and enhanced quality of life.

Solapur University (IN)
Openalex Percentile: Top 19%
Artificial Intelligence in Healthcare
0.71
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