MeatQ
A healthcare-focused web application with a strong emphasis on quality tracking and management for the meat industry.
Project Overview
MeatQ (Ecotext) is a Flutter Web SaaS modernization project for Humeco, a Spanish biotechnology company specializing in animal reproduction and veterinary diagnostics. The platform is computer-assisted software for analyzing testicular tissue through ultrasound imaging to diagnose testicular dysfunction in breeding animals (stallions, bulls, boars). The project involved white-label architecture implementation, UI/UX updates, and modernization of the legacy web application.
Features
- - Ultrasound image analysis for testicular echotexture
- - Species-specific analysis logic (bovine vs porcine vs equine)
- - Six echotexture parameters at normal and high resolution
- - Spermatogenic efficiency prediction
- - Early pathology detection (2 months earlier than traditional semen analysis)
- - Seminiferous tubule measurements and analysis
- - PDF report generation with echotexture results
- - White-label architecture for multi-client deployment
- - Responsive web interface with modern UI/UX
Technologies Used
Requirements
- Ultrasound Image Analysis: Computer-assisted analysis engine for processing testicular ultrasound images with species-specific logic for bovine, porcine, and equine animals.
- Echotexture Parameters: Six distinct echotexture measurement parameters at both normal and high resolution for comprehensive diagnostic assessment.
- White-Label Architecture: Multi-tenant deployment system allowing the platform to be branded and customized for different veterinary clients and organizations.
- Report Generation: Automated PDF report creation with echotexture analysis results, measurements, and diagnostic summaries for veterinary professionals.
- UI/UX Modernization: Complete redesign of the legacy web interface based on Figma designs to improve usability and visual consistency.
- Cross-Browser Compatibility: Responsive Flutter Web application functioning consistently across modern browsers and screen sizes.
Solutions We Provided
- Flutter Web Platform: Dart-based web application using Flutter for rich, interactive UI with native-like performance in the browser.
- Species-Specific Analysis: Configurable analysis modules with distinct algorithms and reference ranges for bovine, porcine, and equine species.
- Echotexture Engine: Custom image processing pipeline computing six echotexture parameters and spermatogenic efficiency predictions from ultrasound data.
- White-Label System: Theming and configuration layer allowing branding, color schemes, and feature sets to be customized per deployment.
- PDF Report Builder: Automated report generation with formatted analysis results, measurement tables, and diagnostic annotations.
- Responsive Design: Figma-driven UI implementation with responsive layouts optimized for desktop workflows used by veterinary professionals.
Style Guide
From color palettes and typography to icons and micro-interactions, every design choice enhances usability, boosts engagement, and drives higher conversions in our e-commerce app.
Brand Colors
Fonts We Used
Inter
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