LexiFlow is a high-performance, mobile-first document intelligence platform designed to bridge the gap between physical paperwork and structured digital ecosystems. Unlike traditional scanners, LexiFlow utilizes Multimodal LLMs to not just capture images, but to "understand" the semantic context of documents—automatically categorizing receipts, medical records, and business cards with zero manual input.
Developed as a showcase of Senior-level Angular architecture, the project prioritizes performance, native device integration, and a sophisticated approach to the "Error State" logic required for production-ready mobile software.
- Reactive State with Signals: Leveraging Angular 17’s Signal API for granular reactivity and optimized change detection.
- AI Data Orchestration: Asynchronous processing of image data via Gemini 1.5 Flash Vision, transforming raw pixels into structured JSON.
- Capacitor Native Bridge: High-efficiency implementation of Camera and Filesystem APIs for 120fps UI performance.
- Resilient Engineering: Advanced error handling for real-world mobile scenarios, including blur detection, network latency masking, and partial-success states.
- Clean Architecture: Strict separation of concerns following the Feature-Folder pattern, ensuring the codebase is scalable and testable.