Project Overview
Project Overview
The client wanted a real-time fitness tracking application that could automatically detect and count exercises, track heart rate, calories burned, and steps, and generate detailed progress reports. The goal was to build an AI-powered workout assistant that helps users stay accountable, monitor performance, and improve their fitness journey without needing manual input.
Our Contribution
🎯 Developed an AI-based real-time exercise recognition system for accurate tracking. 🎯 Implemented detection for lunges, planks, side planks, burpees, glute bridges, stand and sit, pull-ups, push-ups, and squats. 🎯 Designed an automated rep counter to track movements with high precision. 🎯 Integrated heart rate monitoring and calories burned estimation to enhance performance tracking.
Our Contribution
🎯 Built a step tracker for overall activity measurement. 🎯 Developed a visual reporting system with charts to display workout progress. 🎯 Optimized the system for real-time processing, ensuring smooth user experience.
KEY FEATURES
Tool & Technologies
Customer Feedback
John Doe
Codetic
Results
The application made fitness tracking effortless and highly accurate, allowing users to monitor workouts in real-time, track progress, and optimize their training routines. With automated exercise detection, rep counting, and insightful reports, it became an essential tool for athletes, fitness enthusiasts, and trainers looking for data-driven workout optimization.
Deliverables
AI-Based Exercise Detection System
Developed a smart recognition model for real-time detection of multiple bodyweight exercises.
Automated Rep Counting Engine
Designed and implemented a precise rep counter to eliminate manual logging during workouts.
Heart Rate & Calorie Monitoring Integration
Incorporated physiological tracking to measure performance and energy expenditure during exercise sessions.
Visual Progress Reporting Tool
Built a dashboard with charts and analytics to showcase workout trends and user improvement over time.
