The main repository for the 2026 hackathon with all the information for the hackathon and pointers to all repositories. Hackathon informaton pertaining to 2026 specifically will remain in here. The individual repositories are made to span multiple years. This years hackathon will continue to focus on ensuring the growth for each use case. This means the repositories created this year will be use again in subsequent years provided these use cases are repeated again. We need to ensure these solutions will lead to real world outcomes.
Bring developers from the Financial Services industry together to demonstrate how innovative Microsoft technologies can transform autism services by tackling real world use cases provided by families and creating lasting open-source projects for the community.
The date of the event is May 20th and 21st, 2026. The event will be hybrid. The in-person venue will be at Accenture – One Manhattan West, 395 9th Ave, New York, NY 10001.
FOCUS: Build a Digital Command Center that uses Computer Vision and Natural Language Processing (NLP) to capture multi-sensory data during learning sessions. This helps professionals understand engagement levels and session dynamics in real-time, allowing them to focus on the individual rather than the clipboard.
Hackable Outcome: A dashboard that synthesizes video/audio into actionable “session health” metrics.
GitHub: https://github.com/fsi-hack4autism/uc1-multisensory-learning-analysis
| Name | Role | Company |
|---|---|---|
| Rishi Bhatnagar | Use Case Lead | LPL Financial |
| Amy Backes | Subject Matter Expert | BCBA |
| Rob Reese | Tech Lead | Microsoft |
FOCUS: Utilize Agentic AI and RAG (Retrieval-Augmented Generation) to ingest decades of fragmented data—diagnostic reports, psychoeducational evaluations, and IEPs (Individualized Education Plans). The goal is to build a secure, personalized foundation that generates highly tailored program recommendations that evolve with the individual.
Hackable Outcome: An AI agent capable of cross-referencing past evaluations to suggest current IEP goals.
GitHub: https://github.com/fsi-hack4autism/uc2-lifetime-data-synthesis
| Name | Role | Company |
|---|---|---|
| Devanshi Thakar | Use Case Lead | Microsoft |
| Subject Matter Expert | BCBA | |
| Devanshi Thakar | Tech Lead | Microsoft |
FOCUS: This case addresses the transition from school to a shifting workforce. Develop Mobile AI and AR tools that don’t just teach tasks but teach individuals how to interact with and oversee AI-driven workflows. By focusing on “AI Co-piloting,” we enable 1:N support levels where individuals remain competitive and engaged in meaningful, tech-forward work.
Hackable Outcome: A tool that helps a user “prompt” or manage an automated system to complete a complex workplace task (e.g., inventory management or digital asset tagging).
GitHub: https://github.com/fsi-hack4autism/uc3-upskilling-for-the-ai-economy
| Name | Role | Company |
|---|---|---|
| Peter Smulovics | Use Case Lead | Morgan Stanley |
| Leo Junquera | Subject Matter Expert | |
| Peter Smulovics | Tech Lead | Morgan Stanley |
FOCUS: Leverage Edge AI and Sensor Fusion to create a “Shared Care” model for semi-independent living. Instead of constant human “hovering,” use predictive behavioral monitoring and anomaly detection to identify emergencies or elopement risks instantly.
Hackable Outcome: A predictive model using mock sensor data to differentiate between “routine movement” and “emergency behavior".
GitHub: https://github.com/fsi-hack4autism/uc4-invisible-safety-net-for-housing
| Name | Role | Company |
|---|---|---|
| Leo Junquera | Use Case Lead | |
| Leo Junquera | Subject Matter Expert | |
| Tech Lead |
FOCUS: Design AI-driven Financial Guardrails that protect neurodivergent adults from cyber-criminals and exploitation. This focus addresses the “longevity cliff” by using AI to manage guardianship oversight and trust disbursements for individuals who outlive their primary caregivers.
Hackable Outcome: An AI-monitored “Smart Wallet” or fraud-detection layer specifically tuned for vulnerable users.
GitHub: https://github.com/fsi-hack4autism/uc5-secure-guardianship-and-longevity
| Name | Role | Company |
|---|---|---|
| Leo Junquera | Use Case Lead | |
| Leo Junquera | Subject Matter Expert | |
| Tech Lead |
FOCUS: Use Generative AI and VR/XR to create a scalable “Social Metaverse.” Individuals can interact with AI-driven NPCs (Non-Player Characters) that provide real-time feedback on social cues, helping users build confidence and navigate complex social scenarios in a safe, repeatable space.
Hackable Outcome: A VR environment or web-based simulation featuring LLM-powered characters for social roleplay.
GitHub: https://github.com/fsi-hack4autism/uc6-metaverse-based-skill-building
| Name | Role | Company |
|---|---|---|
| Caroline Matthews | Use Case Lead | Microsoft |
| Allison Junquera | Subject Matter Expert | BCBA |
| Caroline Matthews | Tech Lead | Microsoft |