RoboHealth

Robo Health: AI-Powered Vital Checker & Patient Check-In System Inspiration Hospitals and emergency rooms around the world are facing a crisis due to understaffing and overwhelming patient loads. Many patients experience long wait times before receiving medical attention, which can be critical for those in emergency situations. Inspired by the need to improve hospital efficiency and reduce strain on medical professionals, we created Robo Health—a robotic assistant that automates patient check-in and vital sign monitoring, ensuring faster and more effective triage.

What It Does Robo Health is a smart robotic system designed to assist hospitals by: ✔ Automating Patient Check-In: Patients scan their health card upon arrival, retrieving medical records instantly. ✔ Measuring Vital Signs: The system uses integrated sensors to check:

Body Temperature (Fever Detection) Oxygen Saturation (SpO2) Heart Rate (BPM) ✔ Data Collection & Processing: Patient vitals are securely stored in a database, making them instantly accessible to doctors and nurses. ✔ Priority Flagging: If a patient’s vitals indicate an emergency, Robo Health alerts medical staff for immediate intervention. How We Built It We leveraged a combination of hardware and software to bring Robo Health to life:

Hardware Components:

STM32 microcontroller Ultrasonic sensor (for distance detection) Temperature and heart rate sensors RFID/NFC scanner for health card check-in Arduino for integration and control Software & Processing:

Microcontroller programming using C++ (Arduino) Database for patient record storage AI-driven analysis to detect abnormal vitals Communication between the robot and hospital database using Wi-Fi/Bluetooth Challenges We Ran Into 🚧 Sensor Accuracy & Calibration: Ensuring that heart rate and temperature sensors provided precise readings took extensive calibration. 🚧 Real-Time Data Processing: Integrating the hardware with a database while maintaining fast response times was a challenge. 🚧 Health Card Scanning Integration: Connecting the RFID/NFC scanner to retrieve and store patient data required debugging hardware communication. 🚧 Time Constraints: Developing a fully functional prototype in limited time required strategic prioritization of features.

Accomplishments That We're Proud Of 🏆 Successfully built a working prototype capable of measuring vitals and storing them in a database. 🏆 Designed an intelligent triage system that can alert medical staff about critical cases. 🏆 Integrated automated check-in and health monitoring, reducing hospital staff workload. 🏆 Created a scalable and impactful solution that could significantly improve hospital efficiency and patient care.

What We Learned 📚 The importance of real-time health monitoring and how IoT devices can enhance medical systems. 📚 How to efficiently interface microcontrollers with hospital databases for seamless data transfer. 📚 The challenges of sensor accuracy in medical applications and how to optimize data filtering. 📚 How to collaborate under time constraints, rapidly prototyping and iterating for the best results.

What's Next for Robo Health? 🚀 Expanded Sensor Capabilities: Adding blood pressure and ECG monitoring for more comprehensive health tracking. 🚀 AI-Powered Diagnosis: Implementing machine learning to detect early signs of medical conditions. 🚀 Integration with Telemedicine: Enabling remote doctors to access real-time patient data. 🚀 Mobile App Support: Allowing patients to view their health data and receive instant feedback. 🚀 Hospital-Wide Deployment: Partnering with healthcare providers to test Robo Health in real-world hospital settings.