Blueberry is an IoT-enabled health wristband crafted to gather raw data samples from the wearer and associate it with labeled samples, forming a Digital Twin of the user.
Step 1: Raw Data Input
Blueberry® collects raw data, which underpins our generative AI process.
Step 2: Data Processing
Our in-house AI system evaluates this data, isolating crucial details and pinpointing possible user-specific insights.
Step 3: Generative AI Output
The AI produces insights tailor-made to enhance an individual’s experience. Our generative AI process can derive a multitude of tailored solutions for users.
Use Case Scenarios:
Diet Insights
Our AI suggests nutrition insights based on individual dietary patterns.
Rehabilitation
For users on recovery paths, our AI offers suggestions for optimal rest and well-being.
Sleep Insights
Derived from sleep patterns, our AI offers suggestions for optimal rest and well-being.
SYSTEM OVERVIEW
Blueberry is an advanced, smart tracking band that offers a holistic health monitoring experience. It incorporates state-of-the-art sensors, efficient IoT network technology, and artificial intelligence to assure secure and swift data transmission and interpretation. This allows health ecosystem supervisors, like hospitals and elderly homes, to promptly address unexpected occurrences flagged by the automatic insight engine.
Device Features:
The wristband is equipped with sensors to detect:
Heart rate, Pulse Oximeter, Skin Temperature, ECG, Ambient Temperature, Accelerometer, Gyroscope, Vibration, and GPS.
It transmits key parameters to the cloud using connectivity options (BLE, NB-IoT).
Users can access their health insights via our Web/Mobile application, designed to differentiate various activities. The AI/ML model in the application can interpret images captured by the camera with the help of the Digital Avatar.
The UI features a voice-activated AI chatbot acting as a virtual health assistant. This bot monitors user health data, offers health insights, provides reminder services, and helps in scheduling.
The chatbot continually learns from medical databases, evaluates the wearer’s data, offers insights on potential health concerns, and provides guidance. It aids in identifying conditions like Fibromyalgia, Cold-Flu, Adenoviruses, and Skin-related concerns, and also offers mental well-being insights.
The member mobile application facilitates user interaction with the Virtual Health Assistant and grants access to features like Device Management, Mobile-Device and Mobile-Cloud communication, and appointment workflows.
The member web application allows health professionals to use the system, including features like Health Professional Profiles, Appointment Settings, and User Health Insights.
For privacy, we don’t use personal data for registration or login. The system identifies users based on sensor data.
