Stress Detection Mobile App Enhancement
Budget: ₹8,000 – ₹15,000 INR
I have an existing mobile application that needs a professional touch. This app is designed to monitor and manage stress levels by collecting physiological data from wearables using the Google Fit API. It gathers key metrics such as heart rate, heart rate variability (HRV), and sleep patterns crucial for stress detection. The app currently includes features like real-time stress notifications, customizable stress management reminders, and a detailed analytics dashboard.
The project involves:
- Debugging and improving the app's performance
- Enhancing data accuracy and collection
- Optimizing the user interface performance
- Refining the notification system
Ideal candidates should be proficient in Flutter and TensorFlow Lite, with a proven track record in mobile app development and machine learning. Experience in UI/UX design and a keen understanding of stress detection metrics would be an advantage.
Please note, the freelancer must be able to work on both bug fixes and improvements, as well as new feature additions.
The project involves:
- Debugging and improving the app's performance
- Enhancing data accuracy and collection
- Optimizing the user interface performance
- Refining the notification system
Ideal candidates should be proficient in Flutter and TensorFlow Lite, with a proven track record in mobile app development and machine learning. Experience in UI/UX design and a keen understanding of stress detection metrics would be an advantage.
Please note, the freelancer must be able to work on both bug fixes and improvements, as well as new feature additions.