SMART HEALTH MONITORING AND PERSONALIZED DIET GUIDANCE SYSTEM

  • Unique Paper ID: 177306
  • Volume: 11
  • Issue: 12
  • PageNo: 1595-1602
  • Abstract:
  • The Smart Health Monitoring and Personalized Diet Guidance system is designed to enhance individual health management by integrating real-time physiological monitoring with personalized dietary recommendations. This system leverages advanced sensor technology to track key vital signs such as heart rate, body temperature, blood pressure, oxygen levels, and glucose levels, ensuring continuous health assessment. The collected data is processed through an embedded microcontroller, which analyzes variations and identifies any potential health risks. By integrating wireless connectivity, the system transmits the acquired data to a mobile application or cloud-based platform, allowing users and healthcare professionals to monitor real-time health status remotely. One of the most innovative aspects of this system is its personalized diet recommendation feature. Based on sensor-acquired health parameters, the system suggests appropriate dietary plans tailored to the individual’s nutritional requirements. By leveraging machine learning algorithms and predefined dietary databases, it can assess the user's health condition, detect deficiencies or abnormalities, and provide specific food recommendations to maintain optimal well-being. This system can send alerts and reminders for medication intake, hydration levels, and exercise routines, helping users maintain a balanced lifestyle. The integration of IoT and cloud technology enables seamless health monitoring while ensuring secure data storage and accessibility.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{177306,
        author = {Dhanush M and Priscilla Sophia P and Chandru P and Naveen Prasath R and Devarapalli Shankar Bhavani D},
        title = {SMART HEALTH MONITORING AND PERSONALIZED DIET GUIDANCE SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {1595-1602},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177306},
        abstract = {The Smart Health Monitoring and Personalized Diet Guidance system is designed to enhance individual health management by integrating real-time physiological monitoring with personalized dietary recommendations. This system leverages advanced sensor technology to track key vital signs such as heart rate, body temperature, blood pressure, oxygen levels, and glucose levels, ensuring continuous health assessment. The collected data is processed through an embedded microcontroller, which analyzes variations and identifies any potential health risks. By integrating wireless connectivity, the system transmits the acquired data to a mobile application or cloud-based platform, allowing users and healthcare professionals to monitor real-time health status remotely. One of the most innovative aspects of this system is its personalized diet recommendation feature. Based on sensor-acquired health parameters, the system suggests appropriate dietary plans tailored to the individual’s nutritional requirements. By leveraging machine learning algorithms and predefined dietary databases, it can assess the user's health condition, detect deficiencies or abnormalities, and provide specific food recommendations to maintain optimal well-being. This system can send alerts and reminders for medication intake, hydration levels, and exercise routines, helping users maintain a balanced lifestyle. The integration of IoT and cloud technology enables seamless health monitoring while ensuring secure data storage and accessibility.},
        keywords = {Personalized Diet, health parameters, integration of Cloud, Sensors, secure.},
        month = {May},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 12
  • PageNo: 1595-1602

SMART HEALTH MONITORING AND PERSONALIZED DIET GUIDANCE SYSTEM

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