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AI & Automation / Case study

Alhosn Health App & AI Assistant

Android/KMP health workflows and an in-app assistant with embedding-based skill selection and Arabic/RTL support.

Task

Make health tasks accessible inside the existing mobile application, with an assistant that can act on application context.

My contribution

Implemented Android/KMP application work and four assistant workflows: vaccination records, missing certificates, physical activity and hydration. Added Arabic and right-to-left interface support.

Technical decisions

The assistant uses an embedding model and cosine similarity to choose a skill, then receives structured JSON application context. Qwen via Groq is part of the integration.

Status and scope

Completed CTCS / Daypop contract, November 2025–June 2026. The supplied image shows the multilingual assistant welcome screen.

Interface and implementation

Alhosn assistant — supplied multilingual application screen.

Links and resume

Short resume · Detailed resume