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
in person
0
The Women in AI Hackathon is a dynamic, inclusive event designed to spotlight and empower women and non-binary individuals building with artificial intelligence. This isn’t just a hackathon—it’s a celebration of innovation, community, and representation in one of the most transformative fields of our time. Participants will form teams, ideate bold solutions, and build impactful projects using AI tools, guided by mentorship, workshops, and community support. Whether you're an experienced developer or just getting started in AI, this hackathon offers a safe and encouraging space to learn, create, and lead. What makes this hackathon special is its people-first, bias-aware approach—we center equity, collaboration, and hands-on learning. From AI ethics discussions to real-time demos, we want our attendees to not just build, but thrive. This event is open to college students, early-career professionals, and self-taught coders from underrepresented backgrounds. Expect inspiration, new friends, career growth, and code that could change the world. 🫶🏿✨
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.