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Agentic AI Framework for Individuals with Disabilities and Neurodivergence: A Multi-Agent System for Healthy Eating, Daily Routines, and Inclusive Well-Being
Salman Jan, Toqeer Ali Syed, Gohar Ali, Ali Akarma, Mohammad Riyaz Belgaum, Ahmad Ali
November 27, 2025
arXiv.org
11 citations
Key Takeaways
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Personalized Support Through Multiple Specialized Agents: The system uses four coordinated AI agents (Meal Planner, Reminder, Food Guidance, and Monitoring) that work together to provide tailored assistance with nutrition, scheduling, shopping, and health tracking—addressing the specific needs of people with disabilities and neurodivergence rather than using a one-size-fits-all approach.
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Transparency and Explainability Build User Trust: The framework includes explainable AI (XAI) modules that explain the reasoning behind AI decisions, helping users understand why the system makes specific recommendations and fostering accountability and informed decision-making rather than blind reliance on automated suggestions.
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Privacy Protection Through Layered Data Governance: The system incorporates a policy-controlled data layer that manages sensitive information from electronic health records, wearables, and smart devices while ensuring compliance with consent requirements—addressing a critical concern for vulnerable populations who may be hesitant to share health data.
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Clinician Involvement Maintains Human Oversight: Collaborative care dashboards allow healthcare providers to supervise and review the AI system's recommendations, ensuring that technology complements rather than replaces professional medical judgment and maintains human accountability in health-related decisions.
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Real-Time Adaptation Supports Daily Living: The multi-agent system provides continuous feedback loops and real-time adjustments to routines and meal planning, helping individuals with disabilities and neurodivergence maintain consistency in daily activities—a key challenge for these populations.