This repository contains a Jupyter notebook that implements a CNN-based model for Human Activity Recognition. It processes time-series sensor data from the WISDM Actitracker dataset to classify six activities. The model uses TensorFlow to build, train, and evaluate a convolutional neural network architecture on accelerometer readings.