JAVA – разработчики в Эстонии

AI powered app to revolutionize data operation

Leetio

Challenge SnapLog needed to replace outdated clinical data management methods (paper stickers and manual spreadsheet entries) with a fast, AI-powered mobile solution. The critical requirement was enabling surgeons to capture and process patient and operation data in under 3 seconds between medical cases in operating theaters, while maintaining highest security standards for sensitive medical information. Our Solution ✓ Built cross-platform solution with web admin panel and native mobile app ✓ Developed AI-powered text recognition for instant data capture from photos ✓ Implemented Google OCR for MVP (Phase 1) ✓ Created custom Python-based AI model for advanced recognition (Phase 2) ✓ Designed dual-layer user preferences (global profile + case-specific) ✓ Built comprehensive reporting system with customizable parameters ✓ Developed AWS-powered infrastructure for data security ✓ Integrated Stripe for payment processing ✓ Implemented 2FA with FaceID and password authentication ✓ Created media management system for operation case documentation Key Features ✓ 3-second data capture and recognition workflow ​✓ AI-powered OCR with custom machine learning model ✓ Web admin panel with customizable attributes and parameters ✓ Native mobile app optimized for speed and minimal interactions ✓ Global and case-specific preference inheritance ✓ Advanced reporting with multiple export formats ✓ Media upload and management for operation cases ✓ Experience-based profile customization ✓ Secure AWS infrastructure with 2FA protection ✓ Enhanced user experience for beginners Results ✓ Reduced data entry time from minutes to 3 seconds ✓ Eliminated manual typing and handwriting for medical professionals ✓ Created highly customizable, user-friendly AI tool ✓ Delivered secure infrastructure for sensitive medical data ✓ Enabled anywhere, anytime data access via mobile devices ✓ Built scalable architecture for multi-industry applications ✓ Significantly reduced administrative burden on surgeons ✓ Established foundation for ongoing AI model improvement Tech Stack Server: AWS Web: PHP Laravel, ReactJS Mobile: React Native AI/ML: Google OCR (MVP), Custom Python AI model (Phase 2) Security: 2FA, FaceID, password authentication Payments: Stripe integration

farmwell

perfectline

thewarroom

perfectline