About the Project: AutiCare Inspiration
We were inspired to create AutiCare after seeing how many families struggle to detect autism early. Our goal was to make early screening simple, accessible, and supportive using AI.
What We Built
AutiCare is an app that helps detect autism through AI facial expression analysis and questionnaires. It also offers personalized support, rehabilitation plans, and educational resources for users and caregivers.
How We Built It
We designed the system using UML modeling, React for the frontend, FastAPI for the backend, and PostgreSQL for data storage. AI models were trained to recognize emotional and behavioral patterns.
Challenges and Learnings
We learned how to combine AI and user experience design effectively. Our main challenges were achieving accurate results and designing a simple, friendly interface for users.
Built With
- cnn
- figma
- node.js
- react-native
- supabase
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