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AI Hackathon: Learn to build with AI

lumaHosted on Luma

Fetched about 20 hours ago

Tuesday, October 21, 2025

to Tuesday, October 21, 2025

Artificial IntelligenceMachine LearningHealthtechWomen in TechDiversity & Inclusion

Event Type

in person

34

Participants

3

Est. Projects

From AI basics to building your own app or site with Lovable in one empowering day Description Join Equals and Ladies Build With AI for a high-energy, hands-on hackathon designed to get more women building with AI and vibe coding tools. Whether you’re curious about AI or ready to take your skills to the next level, this is your chance to learn the fundamentals, explore real-world applications, and actually ship something by the end of the hackathon. We’ll cover: What’s changed in the era of AI-native startupsIntro to AI and vibe coding tools, showing practical use cases in LovableHow B2C and B2B companies are using AI-assisted coding to accelerate growthA live demo and Q&A: building a full-stack app with Lovable (you're welcome to do the same on your laptop)Showcasing your own creation Perfect for founders, or anyone who wants to level up their AI skills. Please bring your own laptop, as it's a hackathon-style event. You'll receive one month of free access to Lovable Pro Plan 1 (100 credits) in order to use Lovable during the event. Why should you join? Learn by doing, get something tangible and live by the end of the sessionWalk away with a real AI application, which you can use or share, e.g. at a job interviewInspire and support each other as we're all building together during the hackathonReceive one month of free access to Lovable Pro Plan 1 (100 credits) Speaker Bio Marta is the founder of Ladies Build With AI, where she helps women gain practical AI skills to build real-world projects. With a background in business and tech, she bridges the gap between curiosity and creation, making AI accessible to non-technical builders. Our mission is simple: to empower more women to become AI builders with practical learning, so that no one gets left behind

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