Rehab Bud

As part of Texas Convergent's AI Tech Build Team, Ishita Sisodia (B.A. Design '24) worked with peers to create a fitness and health-related AI-powered application. After a conversation and sticky note ideation session, the team connected around their shared ineffective physical therapy treatments because of a lack of motivation to do exercises, as a result of accuracy on doing assigned exercises at home.

After extensive research and numerous user interviews, their final idea was to create Rehab Bud, a two-sided platform that allows PT patients to record their exercises and get real-time AI feedback on the accuracy of their form, while also tracking their recovery progress and holding them accountable. The platform automatically shares this data with the patient's physical therapist(s), allowing therapists to make regiment adjustments based on the patient’s progress in an effort to increase patient motivation and form accuracy.