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
191
Participants
17
Est. Projects
A 24-hour ideathon inspired by groundbreaking historical inventions created by women. Participants draw inspiration from these inventions and transform their core ideas into innovative, technology-driven solutions for today’s challenges through creativity and innovation. Event Details: Date: 3rd–4th July 2026 Mode: Online Duration: 24 Hours Participation Size: 2–4 members Eligibility: Open to all students Timeline: 3rd July, 3:00 PM: Problem statements/tracks released and ideation begins 4th July, 1:00 PM: PPT submission deadline 4th July, 1:30 PM onwards: Final presentations and judging Themes/Problem Statement: Participants will be provided with tracks inspired by groundbreaking inventions created by women Teams must transform the core idea behind these inventions into innovative, technology-driven solutions addressing modern-day challenges Guidelines: Each team must consist of 2–4 members At least one female participant is mandatory in every team All submissions must be original and free from plagiarism
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.