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.
Authors
- Shruti Patil (ORCID: https://orcid.org/0000-0002-4903-1540)
- Farooque R Sayyed
- Shivappa M Metgar
- Tejas Pulli
Institutions
- Solapur University (IN)
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