AI/ML-based app
Health Management App: Cross-platform AI-driven Solution for Asthma Treatment
The team built a user-friendly asthma care app for iOS and Android platforms from the ground up, seamlessly integrating AI and ML algorithms.
#healthcare
#ai #ml
#mobiledevelopment
A European company focusing on developing digital products.
*We cannot provide any information about the client or specifics of the case study due to non-disclosure agreement (NDA) restrictions.
duration
12 months
team
6 specialists
efforts
1920 hours
industry
Healthcare
solution
Asthma management application
Android, iOS, Python, Dart, Flutter, Django, PostgreSQL
1 x Project Manager
2 x Flutter Developers
1 x DevOps Engineer
1 x Python Developer
1 x QA Engineer
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.
Develop the app’s functionality and design
Integrate AI and ML algorithms
Implement a set of features (calendar, reminders, statistics)
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, environmental triggers, and have a better control over their health.
The app offers two user modes: patient mode and administrator mode.
The end-users of the application are patients who have asthma. They can actively interact with the platform to ease the management of their symptoms. This involves inputting details about their primary and emergency inhalers, setting up daily reminders, and other functionalities.
Administrators are responsible for keeping the machine learning algorithm up-to-date with relevant data. They also ensure that the inventory of available inhalers within the application is consistently maintained. This guarantees that patients always have access to their prescribed medications.
In their personal profiles users can perform multiple functions that help evaluate and monitor the state of their health.
Thanks to artificial intelligence and machine learning algorithms implemented in the app, users get accurate analysis and predictions of their health state.
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.
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Head of partnerships