trij

Trij is an offline-first progressive web app designed for community health workers in low-resource settings. It leverages Google DeepMind's Gemma 4 model for on-device AI medical triage, including image analysis, document OCR, and voice interactions. The app ensures privacy by keeping all data on the device and supports asynchronous telemedicine consultations. **Use cases**: Triage wounds and rashes, Scan medical documents, Manage patient records offline, Request specialist consultations, Provide voice-guided assessments, Generate referral slips **Key features**: Photo-based wound and rash triage; Medical document scanning and OCR; Voice-guided health assessments; Encrypted offline patient records; Urgency classification with AI explainability; Asynchronous telemedicine consultations **Who it's for**: Community health workers in remote or low-resource areas, and individuals without reliable internet access. **Credibility**: open source

Trij is an offline-first progressive web app designed for community health workers in low-resource settings. It leverages Google DeepMind's Gemma 4 model for on-device AI medical triage, including image analysis, document OCR, and voice interactions. The app ensures privacy by keeping all data on the device and supports asynchronous telemedicine consultations.