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火鳥黑客松觀眾報名Firebird Hackathon Audience registration

lumaHosted on Luma

Fetched about 4 hours ago

Saturday, August 8, 2026

to Saturday, August 8, 2026

Artificial IntelligenceEdtech
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

in person

为庆祝香港科技大学成立35周年,火鸟黑客松汇聚来自全球7个国家及地区的200+位青年开发者、创业者与AI创新人才,围绕产业命题与开放命题展开高强度创作与竞逐。 本次大赛总决赛将于8月8日在香港科技大学(香港清水湾校园)举办。决赛日将集中呈现一批面向真实产业场景、具备落地潜力与商业想象力的AI创新项目,并邀请学界、产业界、投资机构及企业代表共同见证科技与产业的深度碰撞。 活动亮点抢先看 30+创新项目集中展示:来自不同赛道的优秀团队将现场展示AI应用、智能体、产业解决方案与创业项目原型,呈现青年开发者对未来产业的想象与实践。 真实产业命题,直击商业痛点:本届赛事围绕企业需求、城市生活、教育创新、智能制造与AI原生产品等方向展开,让技术不只停留在Demo,而是走向真实问题与真实场景。 学术、产业与资本同场交流:教授、企业代表、投资机构与技术人才将共同参与项目评审、圆桌讨论与现场交流,从技术可行性、商业价值与产业落地角度拆解AI创新的下一步。 两场深度圆桌,直面AI时代关键命题:围绕企业AI管理流程中的权责重构,以及AI创业究竟是下一波红利还是又一场泡沫,嘉宾将展开具有现实锋芒的深度对话。 无论您关注AI投资、企业创新、产业升级,还是希望发掘青年技术人才与潜力项目,火鸟黑客松决赛日都将是一场不容错过的交流现场。 诚邀各位投资机构代表、企业代表及产业伙伴于8月8日莅临香港科技大学,共同见证新一代AI创新力量的诞生。

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