This is an in person event.
Frontline London is a one-day hackathon for building practical technology that protects people, supports frontline operators and strengthens resilient societies.
Participants will work on challenges spanning defence and security, humanitarian protection, public safety, emergency response, government and civic resilience. Projects may address needs arising in Ukraine, the United Kingdom or other communities affected by conflict, disaster and serious public-safety threats.
Teams might explore humanitarian demining, hazard and infrastructure mapping, resilient communications, emergency coordination, trusted open-source intelligence, aid logistics, crisis information and tools that help responders make safer, faster decisions.
The event welcomes engineers, designers, researchers, analysts, public servants, emergency-service professionals, humanitarian specialists and people with direct experience of the problems being addressed.
Projects should have a credible path to public benefit. Teams will be asked to consider safety, legality, privacy, responsible use and the people who may be affected by what they build.
Build something practical. Test it against a real need. Help protect the people working on the front line and the communities behind them.
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.