# Agentic AI Framework for Individuals with Disabilities and Neurodivergence: A Multi-Agent System for Healthy Eating, Daily Routines, and Inclusive Well-Being

arXiv: https://arxiv.org/abs/2511.22737 · HTML: https://mlsanity.com/paper/2511.22737/

## Key facts

- Cited by 8 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 33 references that are in the map.
- First posted on arXiv 27 Nov 2025.

## Builds on (most cited first, 1 of 1)

- [Food Recommender Systems: Important Contributions, Challenges and Future Research Directions](https://mlsanity.com/paper/1711.02760/) (2017)

## Built on by (most cited first, 8 of 8)

- [Toward Trustworthy Agentic AI: A Multimodal Framework for Preventing Prompt Injection Attacks](https://mlsanity.com/paper/2512.23557/) (2025)
- [A Blockchain-Monitored Agentic AI Architecture for Trusted Perception-Reasoning-Action Pipelines](https://mlsanity.com/paper/2512.20985/) (2025)
- [Agentic AI Framework for Smart Inventory Replenishment](https://mlsanity.com/paper/2511.23366/) (2025)
- [Agents for Agents: An Interrogator-Based Secure Framework for Autonomous Internet of Underwater Things](https://mlsanity.com/paper/2604.04262/) (2026)
- [Governance-Constrained Agentic AI: Blockchain-Enforced Human Oversight for Safety-Critical Wildfire Monitoring](https://mlsanity.com/paper/2604.04265/) (2026)
- [Use of AI Tools: Guidelines to Maintain Academic Integrity in Computing Colleges](https://mlsanity.com/paper/2604.11111/) (2026)
- [Autonomous Traffic Signal Optimization Using Digital Twin and Agentic AI for Real-Time Decision-Making](https://mlsanity.com/paper/2604.27753/) (2026)
- [Resource-Optimized and Energy-Aware Agentic AI Framework Anchored on Blockchain for Secure Software Supply Chains](https://mlsanity.com/paper/2609.31282/) (2026)

## Abstract (arXiv)

The paper presents a detailed Agentic Artificial Intelligence (AI) model that would enable people with disabilities and neurodivergence to lead healthier lives and have more regular days. The system will use a multi-layer structure; it will include an Application and Interface Layer, an Agents Layer, and a Data Source Layer to provide adaptive, transparent, and inclusive support. Fundamentally, a hybrid reasoning engine will synchronize four special-purpose agents, which include: a personalized-nutrition-based, called a Meal Planner Agent; an adaptive-scheduling-based, called a Reminder Agent; interactive assistance during grocery shopping and cooking, called a Food Guidance Agent; and a continuous-intake-and-physiological-tracking, called a Monitoring Agent. All the agents interact through a central communicative system called the Blackboard/Event Bus, which allows autonomous interaction and real-time feedback loops with multimedia user interfaces. Privacy-sensitive data sources, including electronic health records (EHRs), nutritional databases, wearable sensors, and smart kitchen Internet of Things, are also included in the framework and placed into a policy-controlled layer, which ensures data safety and compliance with consent. Collaborative care and clinician dashboards allow common supervision, and discussable artificial intelligence (XAI) modules give brief explanations of why a decision was made, making users responsible and reliant. The proposed agentic AI framework is an extension beyond traditional assistive systems since it incorporates inclusiveness, personalization, and accessibility at all levels. It displays the intersection of multi-agent reasoning, multi-modal interfaces, and human-centered design that will enable the development of autonomy, health, and digital equity among people with disabilities and neurodivergence.