Healthify

▪ Detected the number of steps taken from iPhone's accelerometer data using a step-detection algorithm with 99% accuracy.
▪ Developed an activity recognition classifier to identify whether the user is cycling, walking, jumping, or sitting with 85% accuracy.
▪ Derived heart rate and breath rate from Photoplethysmography (PPG) signal using signal filtering techniques.
▪ Technologies Used: Python Numpy, SciPy, Matplotlib, Jupyter Notebooks.