The problem HealthEase solves

In our fast-paced world, maintaining good health is a challenge. Health problems like chronic diseases, mental health issues, and lifestyle disorders affect our quality of life. To address these issues, regular monitoring of vital signs—such as heart rate, SpO2, and blood glucose—is essential. However, accessibility and convenience pose barriers to timely and accurate testing.

"HealthEase"  is an innovative Internet of Things (IoT) device designed for monitoring crucial health metrics, including blood sugar level, oxygen saturation (SpO2), and heart rate. The primary goal of this device is to revolutionize healthcare by making its services affordable and accessible to a wide range of individuals.

The Challenge: Barriers to Monitoring Vital Signs*

1. Inconvenience: Appointments, queues, and travel hinder regular testing.
2. Invasive: Blood sample is drawn by piercing the epidermis skin tissues. .
3. Financial Constraints: Healthcare costs are a significant concern.
4. Limited Accessibility: Remote areas face challenges in accessing healthcare.
5. Empowerment Gap: Lack of awareness, motivation, and tools hinder active health engagement.

The Solution: HealthEase
What it offers? =>

1. Convenience:
   • Strategic node locations for easy access.
   • Flexible testing times and immediate results.
2. Non - Invasive:
   • Device uses NIR( Near Infrared) Technology.
   • No blood samples required.
3. Reliability:
   • State-of-the-art sensors and regular calibration.
   • Advanced algorithms and expert analysis ensure accuracy.
4. Affordability:
   • Cost-effective plans, including subscription options.
   • Potential savings through early detection.
5. Accessibility:
   • Wide node distribution for urban and rural accessibility.
   • Multilingual website and app cater to diverse backgrounds.

Detailed explaination is on our Technical blog- https://blog.ashutosh7i.dev/healthease

Challenges we ran into

The derivation of reading from the ir spectroscopy was a bit trickier but we managed to get it working,
The formula for this has to be reinforced using machine learning by supervised Learning machine learning or any other machine learning algorithm.