Taekwondo, a traditional Korean martial art, emphasises powerful kicks and punches, requiring mastery in three core areas: Poomsae (technique patterns), kyorugi (sparring), and gyeokpa (breaking). This paper introduces TaekAI, an innovative application that blends Taekwondo training with PoseNet, an AI-powered pose detection model. TaekAI uses PoseNet to detect 17 key body joints, creating a precise skeleton picture of the user's position and calculating essential angles to assess alignment with certain Poomsae movements. The system consists of many modules—Detect, Determine Joints, Calculate Angles, Correct, and Repeat—that deliver valuable input to practitioners at all levels. TaekAI facilitates an ongoing feedback loop that helps users enhance their Taekwondo skills through notifications and corrections. TaekAI revolutionises poomsae practice by analysing the users’ form, providing real-time feedback, and suggesting posture corrections. The app evaluates poomsae accuracy, timing, and technique performance, giving valuable insights to improve practice sessions. The paper also explores TaekAI’s technical framework, system design, and potential applications in enhancing Taekwondo practice.