Care Companion: Designing an AI + IoT Healthcare Rover

Care Companion: Designing an AI + IoT Healthcare Rover
Care Companion combines AI and IoT for home-care monitoring.
My Scope
I implemented all software modules and led the team workflow.
Software Modules
- Sensor data collection pipeline
- Voice command handling
- Motor control logic
- Flask dashboard for caregiver monitoring
- OpenCV + MobileNetSSD vision inference
Hardware Integration
- Raspberry Pi 4 as AI core
- Arduino for sensor communication
- DHT11, MQ-2, pulse, and flame sensors
Measured Result
Real-time human detection ran at around 60 FPS on Raspberry Pi 4 during testing.
Takeaway
Stable embedded software boundaries (sensing, control, dashboard, vision) are essential for reliable AI + IoT systems.