"Welcome to OneHealth Lens! " Thank you for taking the time to explore our project for the OneAquaHealth IEEE Global Hackathon. We built OneHealth Lens to solve the citizen science 'data black hole'—turning raw stream assessments into explainable, standards-compliant One Health intelligence. Quick Highlights to Check Out: 9-Stage Analytical Pipeline: Standardizes, validates (using Isolation Forest ML), enriches (Open-Meteo weather context), and correlates field observations into a weighted One Health Risk Index. HL7 FHIR R4 Interoperability: Serializes assessments into valid FHIR collection bundles conforming to the official OneAquaHealth Implementation Guide. Field-Ready UX: Features offline PWA queueing, Web Speech API audio narration , and bilingual EN/PT support. 100% Tested: Backed by 68 passing unit tests across 10 modules. Watch our 5-minute demo video at the top of the page, or explore our public GitHub repository for full architecture diagrams and code. We welcome any questions, feedback, or comments from judges and fellow participants!
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