Fitness Tracker

Overview

The Fitness Tracker is a Python application that leverages frequency data from a fitness watch to identify and count repetitions of various exercises. Currently, the tracker supports the following exercises:

• Squat
• Bench Press
• Overhead Press
• Deadlift
• Row

By analyzing motion data, the application determines the type of exercise being performed and accurately counts the number of repetitions in each set.

Features

• Exercise Detection: Identifies five major exercises using frequency data.
• Repetition Counting: Counts the number of repetitions for each detected exercise.
• User-Friendly Interface: Easy to use and integrate with fitness watches.

Getting Started

Prerequisites

• Python 3.x
• Conda Environment ### Setup

1. Clone the repository: ```bash git clone https://github.com/yourusername/fitness-tracker.git cd fitness-tracker conda env create -f environment.yml

Built With

• python