AI-Powered Patient Monitoring

Revolutionizing healthcare with real-time fall detection, environmental monitoring, and AI-driven insights.

AI healthcare monitoring

Fall Detection Accuracy: 95%

Reducing patient injuries by 63%

The Challenge

Healthcare Monitoring Crisis

Current patient monitoring systems are expensive, inefficient, and often fail to prevent critical incidents.

Skyrocketing Costs

Nursing costs range from $25-$40 per hour, totaling $200,000+ annually per patient for continuous monitoring.

Staff Shortages

Global shortage of healthcare workers makes 24/7 monitoring impossible in many facilities.

Patient Falls

700,000-1 million patients experience clinical harm from falls annually, with 63% resulting in serious injuries.

Our Innovation

AI-Powered Patient Monitoring

CareBotix combines computer vision, environmental sensing, and intelligent alerts for comprehensive patient care.

How It Works

  • Real-time Pose Detection: YOLOv8-based monitoring for fall detection and posture analysis

  • Environmental Monitoring: Temperature, humidity, sound, and distance tracking

  • Smart Alerts: Immediate notifications for falls, abnormal postures, or environmental concerns

  • AI Assistant: Gemini-powered chatbot for instant status updates and medical insights

Technical Advantages

Hardware Components

HD Camera, Temperature sensor (±0.5°C), Humidity sensor (±2%), Sound level meter (30-130dB), Ultrasonic distance sensor (2-400cm)

Software Stack

YOLOv8, Google Gemini Pro, MongoDB, PyQt6, REST APIs, WebSocket

Performance

95% accuracy in fall detection, <100ms latency, supports 10 concurrent video streams

Features

Comprehensive Patient Protection

Advanced monitoring capabilities that go beyond traditional systems

Multi-Patient Monitoring

Simultaneously track multiple patients with a single system, reducing equipment costs.

Sentiment Analysis

DistilBERT-powered voice analysis to detect pain, distress, or discomfort from patient sounds and speech patterns.

Instant SMS Alerts

Critical alerts sent to caretakers within 10 seconds of detecting an emergency situation.

Predictive Analytics

Machine learning models predict potential falls before they happen based on movement patterns.

Glimpse of Future Web UI

See CareBotix in Action @ 2026

Experience our real-time monitoring system with simulated patient scenarios.

Fall Detection Simulation

Fall detected in 0.8 seconds

Alert Sent to Caretaker

SMS notification sent to caretaker in 3.2 seconds

Pain Detection via Voice

"Ouch! My hip hurts..."

Pain Detected (87% confidence)

DistilBERT model analyzed vocal patterns for pain indicators

Financial Benefits

Significant Cost Reduction

CareBotix delivers superior monitoring at a fraction of traditional costs

Traditional Care Costs

  • $25-$40/hour for nursing staff

  • $200,000+ annually per patient for 24/7 monitoring

  • High liability costs from undetected falls

CareBotix Costs

  • $500-800 one-time hardware cost per unit

  • $50/month software license per bed

  • 90% cost reduction compared to traditional care

ROI Calculator

For a 100-bed facility, CareBotix saves approximately $18 million annually compared to traditional monitoring.

Our Team

Morgan Hacks 2025 Winners

Developed by a passionate team of innovators

Sai Jagadeesh Muralikrishnan

Lead AI and Software Engineer

Developed the YOLOv8 pose detection system and GUI backend.

Hanlee

Hardware Specialist

Designed the sensor array and edge computing unit for real-time processing.

Vivek Patel

API Specialist

Built the backend infrastructure and alert systems including the 10-second SMS notification.

Ready to transform patient care? Get started with CareBotix today.

Contact

Get In Touch

We'd love to hear from you about implementing CareBotix in your facility.

Send us a message

Request a Demo

Schedule a personalized demo to see CareBotix in action at your facility.