Anshita discusses the development of an exercise tracker that uses sound wave reflections to monitor movements, catering to populations often overlooked by traditional fitness devices. Through a research study, they achieved an impressive classification accuracy of 80-85% for various exercises, all while highlighting the simplicity of implementing AI with minimal code. This groundbreaking approach aims to make fitness tracking more inclusive for individuals with unique exercise needs.
