Smart Health HackathonLaajuus (3 op)

Osaamistavoitteet

After the hackathon, the student understands the key components of e-health systems, including data acquisition, monitoring, analysis, and disease prediction. The student is familiar with innovative approaches utilizing large language models (LLM), machine learning (ML), wireless communications (BLE), smart sensors, and wearable technologies.

The student is capable of designing, implementing, and presenting solutions for real-world e-health challenges. The student also masters the basics of IoT and embedded AI system development for e-health purposes and is able to apply teamwork and problem-solving skills in a competitive and collaborative environment.

Sisältö

• Bio-signals and bio-sensors for smart health

• Remote monitoring systems: architecture, wireless communication protocols

• Embedded AI and LLM

• Project management and prototype development