IMT-542---Final

StrongLifts 5x5 Tracker & Visualizer

A modular, Python-powered system for tracking and analyzing weightlifting workouts, with a focus on the StrongLifts 5x5 program. This project provides an open, portable JSON-based information structure to record, track, and visualize weightlifting workouts—specifically tailored for the StrongLifts 5x5 program. It’s designed for users who want full control over their fitness data—free from proprietary apps and platforms. By using clear field names and simple data types, this structure ensures cross-platform compatibility and easy integration into any workflow.

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Project Goals

Enable clear data recording for workouts (including set-level success/failure)
Create a structured JSON dataset for portability and future integration
Provide visual insights with progression graphs and success rates
Ensure sustainable tracking across platforms, no lock-in to proprietary systems

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#Features

Workout Data Recording

• Interactive script generate_workout.py to prompt you for each set’s success/failure.
• Accurate JSON logs for each workout, stored in the workouts/ folder.

Visualization & Analysis

• visualize_workouts.py script:
  • Plots weight progression over time for each exercise.
  • Plots success rates (percent of sets completed) for quality tracking.
• Portable, open data —no vendor lock-in!

Weight Progression Logic

• Increases weight gradually (e.g., +2.5kg or +1.25kg) only if all sets of an exercise are successful.
• Caps for each exercise to reflect realistic progression goals:
  • Squat: 150 kg
  • Deadlift: 189 kg
  • Bench Press: 120 kg
  • Barbell Row: 110 kg
  • Overhead Press: 85 kg
• If sets are not successful, the next workout holds at the same weight (future deload logic can be added!).

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Project Structure

project/ ├── workouts/ # Repository for JSON logs for each workout generated by generate_workout.py ├── Other Files/ # Files that helped along the Way, Strong Lifts 5X5, Garmin ├── visualize_workouts.py # Data visualization script ├── generate_workout.py # Interactive logger for recording workout data └── README.md # Project documentation (this file!)

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Workouts are stored as individual JSON files in the workouts/ directory (one per workout).

To record a new workout:

bash Copy Edit python record_workout.py You’ll be prompted for set-level success/failure and other metadata (like location and how you felt).

To visualize progress:

bash Copy Edit python visualize_workouts.py This will parse the existing JSON files and create plots for:

Weight progression for each lift

Success rates over time

Each JSON file is self-contained and can be read in any JSON-compatible tool (Python, R, JavaScript, etc.).

You can manually edit JSON files if needed—just keep the field names consistent!

Installation

Install required Python packages:

'''pip install pandas matplotlib'''

Usage Record a Workout bash Copy Edit 'python generate_workout.py' Prompts you to log actual set success/failure for the current workout.

Visualize Data bash Copy Edit 'python visualize_workouts.py' Generates clear plots of:

Weight progression for each lift

Success rate for your lifting consistency

Data Flow Input: User logs workout in record_workout.py Output: Structured JSON file saved in workouts/ Analysis: visualize_workouts.py loads these JSON files, parses them into a pandas DataFrame, and creates visual plots.

*Generated with the Assistance of ChatGPT, edited for consistency, content and cohesion.