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Industry
Mental Health and Child Support
Challenge
- Inconsistent autism assessments due to manual evaluations
- Unstructured support for shadow teacher and nutrition planning
- Lack of AI-driven behavioral insights
AI-Powered Solution
- AI guided parents through structured interaction exercises
- Machine Learning-powered diagnostic models provided accurate autism type and severity assessments
- AI-generated personalized care plans, including teacher and nutrition recommendations
Impact
- 150 percent increase in client enrollments due to higher diagnostic accuracy
- 40 percent improvement in matching children with appropriate support
- Reduced stress for parents with real-time AI-driven guidance
Tech Stack
- Machine Learning, AI-Powered Parental Guidance System, Recommendation Engine
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