Skip to content

Commit

Permalink
Update README.md
Browse files Browse the repository at this point in the history
  • Loading branch information
sadeelmu authored Oct 9, 2024
1 parent 424b524 commit 8953d4b
Showing 1 changed file with 23 additions and 4 deletions.
27 changes: 23 additions & 4 deletions README.md
Original file line number Diff line number Diff line change
@@ -1,5 +1,24 @@
An asthma detection and management mobile application that predicts asthma attacks using machine learning algorithms trained on collected environmental data and biosignal and sensory data extracted and processed from smartwatches.
AsthmaGuard encompasses native iOS mobile development using Swift and SwiftUI, database management with SQL, the utilisation of APIs for web data extraction, extraction of dynamic data from smartwatches using embedded systems and internet of things concepts, and using Python for the machine learning prediction and data science feature engineering.
AsthmaGuard is a comprehensive solution aiming to predict asthma attacks by continuously monitoring vital signs crucial for asthmatic patients' health assessment and relevant data such as weather data, medical history, and previous triggers of asthma attacks.
AsthmaGuard is designed to assist asthmatic patients, by providing personalized asthma risk assessments, insights into triggers, and timely alerts, enhancing proactive asthma management.
AsthmaGuard: Asthma Prediction and Management System
AsthmaGuard is an innovative asthma detection and management mobile application aimed at improving the quality of life for asthmatic patients. Using a custom algorithm, AsthmaGuard processes environmental data, biosignals, and vital signs collected from smartwatches to provide personalized asthma risk assessments, insights into triggers, and timely alerts for proactive asthma management.

Key Features
Custom Algorithm for Prediction: Developed specifically to analyze environmental and biosignal data to predict asthma attacks.
Smartwatch Integration: Processes vital signs such as heart rate, respiratory rate, and oxygen levels from smartwatches, using embedded systems and IoT concepts.
Survey-Based Environmental Monitoring: Collects environmental information, including data on potential asthma triggers like pollen and air quality, through user surveys.
Personalized Risk Assessment: Provides users with tailored risk assessments and insights into asthma triggers for proactive health management.
Real-Time Alerts: Sends timely alerts based on significant changes in health or environmental conditions.
Technologies Used
iOS Development: Built using Swift and SwiftUI for a smooth and native mobile user experience.
Database Management: Uses SQLite for efficient storage and retrieval of user and health data.
APIs and IoT: Utilizes Apple’s HealthKit, WatchKit, and WeatherKit for collecting vital signs and environmental information dynamically.
Screenshots
<div align="center"> <img src="path/to/Asthma%20threat%20breakdown.png" alt="Asthma Threat Breakdown" width="400"> <p>Asthma Threat Breakdown</p> </div> <div align="center"> <img src="path/to/Asthma%20threat%20dashboard.png" alt="Asthma Threat Dashboard" width="400"> <p>Asthma Threat Dashboard</p> </div> <div align="center"> <img src="path/to/Breathing%20exercises.png" alt="Breathing Exercises" width="400"> <p>Breathing Exercises</p> </div> <div align="center"> <img src="path/to/High%20asthma%20threat.png" alt="High Asthma Threat" width="400"> <p>High Asthma Threat Alert</p> </div> <div align="center"> <img src="path/to/Historical%20data.png" alt="Historical Data Overview" width="400"> <p>Historical Data Overview</p> </div> <div align="center"> <img src="path/to/Survey.png" alt="User Survey for Environmental Monitoring" width="400"> <p>User Survey for Environmental Monitoring</p> </div>
Project Details
AsthmaGuard aims to provide a comprehensive solution to asthma management by:

Continuous Health Monitoring: Collecting vital signs in real time, such as heart rate and respiratory rate, through smartwatch integration.
Environmental Factors Analysis: Incorporating survey-based data to evaluate environmental triggers, like air quality and pollen.
User-Friendly Interface: Designed to be easy to use, enabling patients to understand their asthma triggers and receive personalized recommendations.
Privacy and Security: Ensures user data security through in-app data processing and industry-standard privacy measures.
AsthmaGuard helps users make informed decisions about their health and manage their asthma more effectively through its proactive monitoring and personalized insights.

0 comments on commit 8953d4b

Please sign in to comment.