FIREFLY
Data Processing & Visualization Contributions
AI-Powered Personal Training Platform
Project Overview
FireFly is a fitness technology platform offering AI-powered personal training. It uses motion tracking and performance analytics to deliver real-time feedback and personalized workout guidance.
The platform combines personalized workouts, intelligent coaching, and progress analytics to make training more accessible and results-driven.
Key Features
- Real-time motion tracking
- AI-powered form analysis
- Performance analytics
- Progress visualization
My Data Processing & Visualization Role
Structured Data Processing
Developed scripts to process structured fitness session data including session duration, average rep duration, form scores, and rep counts.
JSON to DataFrame Transformation
Transformed raw JSON data into structured DataFrames for comprehensive analysis and visualization.
Interactive Visualizations
Created interactive and static visualizations using Plotly and Matplotlib to make session performance trends easier to interpret.
Dashboard Integration
Helped shape data into formats that could be integrated into app dashboards and performance summaries.
Data Processing Pipeline
Raw JSON Data
Structured fitness session data collection
Data Processing
Transform JSON into structured DataFrames
Visualization
Create interactive charts with Plotly/Matplotlib
Dashboard Integration
Format for app dashboards and summaries
Sample Session Metrics
Technologies Used
Key Outcomes
How It Works
User Movement
Real-time motion capture during workouts
Motion Tracking
AI-powered form analysis and detection
AI Feedback
Intelligent coaching and corrections
Progress Insights
Personalized analytics and recommendations