Anupraan - AI-Powered Health Monitoring System#

Status: In Development

Anupraan (meaning “breath of life” in Sanskrit) is our most ambitious project yet - an AI-powered health monitoring system that combines IoT sensors, machine learning, and predictive analytics to provide proactive health insights.

Project Overview#

Anupraan continuously monitors vital signs including heart rate, blood oxygen, temperature, and respiratory rate using non-invasive sensors. The system uses machine learning algorithms to detect patterns and provide early warnings for potential health issues.

Key Features#

  • Real-time Monitoring: Continuous tracking of vital signs
  • AI Analysis: Machine learning algorithms for pattern recognition
  • Predictive Alerts: Early warning system for health anomalies
  • Mobile App: Companion app for data visualization and alerts
  • Cloud Integration: Secure data storage and analysis
  • Privacy-First: Local processing with optional cloud sync

Technical Architecture#

Hardware Components#

  • ESP32 microcontroller
  • MAX30100 pulse oximeter and heart rate sensor
  • MLX90614 infrared temperature sensor
  • MPU6050 accelerometer for movement detection
  • Custom PCB for sensor integration

Software Stack#

  • Backend: Python with FastAPI
  • ML Framework: TensorFlow Lite for edge inference
  • Database: PostgreSQL with TimescaleDB for time-series data
  • Frontend: React Native mobile app
  • Cloud: AWS IoT Core for device management

Development Status#

  • Hardware design and PCB layout
  • Basic sensor integration and calibration
  • Initial ML model for anomaly detection
  • Mobile app development
  • Cloud infrastructure setup
  • Clinical validation and testing

Challenges & Solutions#

Challenge 1: Sensor Accuracy#

Medical-grade sensors are expensive and bulky. We’re using consumer sensors with advanced calibration algorithms to achieve clinical-grade accuracy.

Challenge 2: Battery Life#

Continuous monitoring requires efficient power management. We’ve implemented sleep modes and selective sensor activation to extend battery life to 7+ days.

Challenge 3: Privacy & Security#

Health data is extremely sensitive. We’re using local processing with optional encrypted cloud sync, ensuring user control over their data.

Next Steps#

  1. Q1 2024: Complete mobile app development
  2. Q2 2024: Cloud infrastructure and data pipeline
  3. Q3 2024: Clinical validation with healthcare partners
  4. Q4 2024: Beta testing and regulatory compliance

Team#

  • Hardware: PCB design and sensor integration
  • Software: Backend development and ML algorithms
  • Mobile: React Native app development
  • DevOps: Cloud infrastructure and deployment

Interested in contributing to Anupraan? We’re looking for developers, designers, and healthcare professionals. Get in touch