Fitness
5.0

PulseFit

PulseFit is an AI-powered fitness architecture that adapts workouts in real-time based on biometric signals and recovery analysis. The platform continuously analyzes sleep quality and heart-rate variability to regenerate every session for optimal intensity.

Most fitness applications provide rigid training plans that fail to account for the complexities of real-world recovery. Users often push through workouts while suffering from fatigue, leading to burnout, injury, and a decline in long-term goal achievement.

We developed a 'Recovery Engine' that calculates a daily Readiness Score from wearable data. The AI regenerates each workout every morning, adjusting volume and intensity, while an AR Equipment Scanner identifies gym machines to instantly suggest exercises.

UX ResearchUI DesignApp DevelopmentAPI IntegrationQuality Assurance
Available On
PulseFit
IndustryHealth & Wellness
Project TypeFitness
PlatformWeb / Mobile
CountryCanada
Duration250 Hours

Challenges

01/

Biometric Data Noise

Filtering inaccurate heart rate and sleep signals from various wearable devices to ensure training plans were safe.

02/

Complex Workout Logic

Building a recommendation engine that accounts for muscle group fatigue, past volume, and current heart-rate variability.

03/

Cross-Platform Sync

Maintaining real-time synchronization between the mobile app, wearables, and the cloud-based AI engine.

Our Solutions

PulseFit was engineered using a biometric-first adaptive engine. We implemented a recovery analysis layer that pulls data from wearable APIs (Apple Health, Garmin) and calculates a daily 'Readiness Score' using HRV (Heart Rate Variability). The Flutter-based frontend communicates with a high-performance Node.js backend that regenerates workout schemas in real-time based on equipment availability and energy levels. We utilized an offline-first data synchronization strategy with Firebase to ensure workout data is never lost. The result is a cinematic fitness experience that prioritizes user safety and long-term athletic growth.

+45%

User Retention

Post-launch DAU boost.

99.9%

Performance

Server uptime.

2.5x

Market Growth

Reach increase.

Features

01

Recovery AI Engine

Sophisticated model updating workout intensity daily based on sleep and HRV data.

02

Wearable Deep Sync

Sub-second integration with fitness trackers for real-time heart rate monitoring.

03

Adaptive Training

Workouts automatically pivoting if equipment is missing or fatigue signs appear.

04

Social Recovery Hub

Privacy-focused leaderboard sharing recovery trends rather than raw performance metrics.

05

Equipment Scanner

Computer vision tool identifying gym machines and instantly suggesting relevant exercises.

06

Biometric Analytics

Detailed daily graphs linking stress, sleep, and athletic performance metrics.

Production Deliverables

Full-cycle engineering outputs and design systems delivered for this ecosystem.

High-Fidelity UI

Premium design system with atomic components.

Scalable API

Production-ready Node.js backend architecture.

Mobile Apps

Native-performance iOS & Android builds.

Cloud Ops

Optimized AWS/Edge hosting infrastructure.

Technology Infrastructure
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Siddharth Makadiya

Siddharth Makadiya

Co-Founder & CEO