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Assistive Innovation Challenge 2026

devpostHosted on Devpost

Fetched 13 days ago

Monday, May 4, 2026

to Saturday, August 1, 2026

•

3 months long

Data ScienceWeb Development
Student only
This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.

Event Type

online

192

Participants

17

Est. Projects

Assistive Innovation Challenge is an online hackathon focused on building software that supports accessibility, autonomy, and independence for people with disabilities. Participants are invited to create assistive technology projects that address real challenges related to communication, mobility, learning, health, daily routines, safety, productivity, or independent living. Projects can be simple or advanced, but they should be designed with a clear purpose: helping people with disabilities navigate the world with greater confidence, access, and independence. This challenge is open to beginners, students, and experienced developers alike. Participants may compete individually or in teams. Whether you are building your first project or developing a more advanced prototype, the goal is to use technology thoughtfully and responsibly to create something meaningful. The Assistive Innovation Challenge is not only about building software. It is also about learning, raising awareness, and encouraging more people to think about how technology can be designed for inclusion from the beginning. Open to individual & team projects.

Sponsors

Iteration Machine image

Iteration Machine

www.iterationmachine.com

Judge Accessibility

Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10

Top signals

Organizer email available
Student-run event
Actively looking for judges

Organizers

Alex Johnson

alex@example.org

Jamie Rivera

jamie@example.org

Sam Chen

sam@example.org

Estimated Audience

Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech

Technical Focus

AI95%
Web80%
Mobile25%

Industries

Healthcare
Education
Climate

Technologies

Python
React
OpenAI

Why this estimate

  • • Hosted by a university
  • • Open to students
  • • MLH member event

Estimate inferred from event metadata, not actual attendee data.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct