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Development of IoT-Integrated Mobile Application for Equine Training Optimization

desmart.com

Sports

Agriculture

Information technology

Challenges in Equine Training Data Management

Horse riders lack objective data to optimize training plans, monitor rein usage effectiveness, and track equine performance metrics. Current training methods rely on subjective assessments, making it difficult to analyze training intensity, gait patterns, and recovery requirements systematically.

About the Client

IoT technology company specializing in equine performance analytics

Project Goals for Equine Training Application

Develop a cross-platform mobile application for horseriding performance tracking
Integrate IoT sensor data collection with existing Ipos technology infrastructure
Create visual analytics dashboards for training metrics and recovery planning
Support market demand through MVP development and user acquisition strategy
Enable data-driven decision-making for equine muscle development and training load management

Core System Functionalities

IoT sensor integration for rein usage tracking
Session intensity monitoring with biometric feedback
Automated gait pattern recognition
Interactive graphs and statistics visualization
Training load analysis with recovery planning recommendations

Technology Stack Requirements

React Native

TypeScript

RxJs

Redux

System Integration Needs

Ipos IoT sensor network
Existing equine performance database APIs

Operational Requirements

Scalable architecture for growing user base
Real-time data processing performance
Data security compliance for user biometrics

Expected Business Impact of Equine Training Solution

The application will address significant market demand by providing objective training analysis, enabling responsible equine muscle development, and optimizing recovery planning through data-driven insights. This will enhance user satisfaction through measurable performance improvements and establish competitive advantage in the equine technology sector.