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IncluLearn Global: An AI-Powered School & Health Recommendation Engine with Explainable Suggestions
A step‑by‑step demo of building a school and health recommendation engine using Supabase, vector embeddings, GPT explanations, and Google Maps location data.
I’ll demo how I built IncluLearn, a recommendation system that helps families in Kenya discover schools and health specialists tailored to their needs and location. The demo walks through the backend logic, how user data is stored in Supabase, queried, and matched using AI. I’ll also show how I experimented with vector search and explainable AI prompts to generate human-friendly reasons for recommendations. The goal is to unpack the messy but practical steps of going from a raw idea to a working prototype
AI-powered platform matches special needs children to suitable Kenyan schools.
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