Timspark
Nov 23, 2023
No image
Completed
Health Management App: Cross-platform AI-driven Solution for Asthma Treatment
$50,000+
2-3 months
Germany
6-9
Service categories
Service Lines
Artificial Intelligence
Mobile Development
Domain focus
Healthcare
Other
Programming language
Python
Frameworks
Django
Flutter
Subcategories
Artificial Intelligence
Machine Learning
Challenge
The main goal was to develop a cost-effective care solution harnessing AI and ML algorithms that would assist both medical practitioners and individuals with asthma in treatment goals.
Related objectives:
1) develop the app's functionality and design;
2) integrate AI and ML algorithms;
3) implement a set of features (calendar, reminders, statistics).
The main goal was to develop a cost-effective care solution harnessing AI and ML algorithms that would assist both medical practitioners and individuals with asthma in treatment goals.
Related objectives:
1) develop the app's functionality and design;
2) integrate AI and ML algorithms;
3) implement a set of features (calendar, reminders, statistics).
Solution
Our team developed an innovative asthma management app that harnesses the power of AI and ML algorithms and helps users monitor their symptoms, inhaler usage, and environmental triggers and have better control over their health.
Our team developed an innovative asthma management app that harnesses the power of AI and ML algorithms and helps users monitor their symptoms, inhaler usage, and environmental triggers and have better control over their health.
Results
Our team launched the MVP in 2 months, developing an innovative, user-friendly mobile solution for asthma management.
The application tracks the patient's condition, analyzes the information about the inhalations the patient takes, and provides personalized guidelines, alerts, and reminders based on the information provided.
Our team launched the MVP in 2 months, developing an innovative, user-friendly mobile solution for asthma management.
The application tracks the patient's condition, analyzes the information about the inhalations the patient takes, and provides personalized guidelines, alerts, and reminders based on the information provided.