With the increasing use of wearable devices such as smartwatches, smartphones, and wristbands, there is a growing need to understand user patterns and relationships between activities. We utilized the MotionSense dataset, which comprises data from 6 different physical activities performed by 24 subjects.

**Goal:** Develop a machine learning classifier to accurately recognize and predict physical activities from wearable sensor data.

**Prefixes:** [aikc] / [idas] / [aikc+idas] (add it to team name)

**Warning:** It is strictly prohibited to use the original MotionSense dataset in any way.

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