AI-Powered Health Monitoring System Description AI-Powered Health Monitoring System is a comprehensive solution designed to automate and streamline the process of monitoring patient health. The system integrates various sensors like Arduino, DHT11, MAX30100, and other related sensors to collect health data, which is then securely stored locally and in the cloud. Doctors and caretakers can easily access this data through a mobile app or web portal to analyze and take necessary actions in real-time. The system ensures that backup data is stored for critical patients, providing seamless access to doctors.

Table of Contents Installation Usage Team License Questions Installation To set up the AI-Powered Health Monitoring System locally, follow these steps:

bash Copy code

git clone https://github.com/IIOTASol/Health-Monitoring-System.git

cd Health-Monitoring-System

npm install or pip install Usage Follow these steps to get started with the system:

Connect sensors (Arduino, DHT11, MAX30100) as per the project's wiring diagram. Set up local storage or connect to a cloud storage solution. Launch the system and configure mobile or web access for data management. bash Copy code

npm start or python main.py Team Rehan Shahid - Team Representative Maisam Sheikh - Development Lead Hassan Hayat - Technical Advisor License This project is licensed under the MIT License - see the LICENSE.md file for details.

Questions How can I get started with the project? What are the prerequisites for running the project? How can I troubleshoot issues with the system? Where can I report bugs or feature requests? How can I contribute to the project? Are there any development guidelines I should follow? What license does the project use, and how can I use it for my projects? Are there any ongoing updates or releases?