[PLACEHOLDER] FitPulse: AI-Powered Fitness Tracker
// TODO(content): [PLACEHOLDER] Engineered a cross-platform Flutter application with offline biometric sync and real-time workout audio coaching.
Measurable Results & Key Performance Indicators
Problem & Challenge
Operational bottlenecks, technical debt, and scalability constraints faced by the client.
// TODO(content): [PLACEHOLDER] The initial MVP suffered from excessive battery drain and failed to cache user metrics when gym cell coverage was poor, resulting in elevated user churn.
Our Solution & Approach
Architecture decisions, implementation roadmap, and engineering practices applied.
// TODO(content): [PLACEHOLDER] Rebuilt the mobile architecture with Flutter, native C++ Bluetooth low-energy bindings, and an offline-first SQLite database that syncs in the background upon reconnection.
Technologies & Tech Stack
Production frameworks, programming languages, cloud infrastructure, and protocols utilized for this engagement.
Project Gallery & Visual Showcase
Visual artifacts, interface layouts, and architectural views from the project lifecycle.
![[PLACEHOLDER] FitPulse: AI-Powered Fitness Tracker screenshot 1](/images/projects/fitpulse-1.jpg)
![[PLACEHOLDER] FitPulse: AI-Powered Fitness Tracker screenshot 2](/images/projects/fitpulse-2.jpg)