CV Health App
Real-time vitals and posture monitoring with OpenCV and Flutter
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Project Overview
This project is a mobile application built with Flutter and OpenCV, designed to monitor vital signs and posture in real-time using computer vision. It provides users with health insights and alerts for posture correction and abnormal vitals.
Technologies Used
- OpenCV: For real-time image processing and computer vision tasks.
- Flutter: For cross-platform mobile app development.
- Python: For backend processing and model integration.
- TFLite: For deploying lightweight ML models on mobile.
Key Features
- Real-time monitoring of heart rate and posture.
- Cross-platform support for iOS and Android.
- Alerts for posture correction and health anomalies.
- Integration with wearable devices for enhanced data.
Impact
The app promotes proactive health management by providing real-time feedback, improving posture, and detecting early signs of health issues, especially for desk workers and elderly users.