Adam Rao, UCSF medical student and UC Berkeley-UCSF PhD candidate, is developing Tabla, an affordable device to detect pneunomia in children. Using the "percussion technique" and machine learning, the device detects sound frequencies in a patient's body to determine whether the lungs may have fluid accumulation. This past year, the team won the Rudd Family Foundation's Big Ideas at Berkeley grand prize and Fast Company's Innovation by Design student category. ABC 7 interviewed the team to learn more about the design and development process.