Each phase is essential for creating user-centered solutions and ensuring a seamless product experience.

One of the core features is its ability to detect nicotine related activities using a smartwatch. By leveraging hand movement gestures, advanced sensors, and machine learning algorithm. A study indicates that smart devices equipped with specialized sensors can accurately track up to 96% of smoking activities.

Intuitive visualization of lung health represented as a tree, derived from cardiovascular and SpO2 data. This dynamic tree evolves with user progress, illustrating improvements in lung function and motivating users to quit smoking.