• Hackathon Radar
Hackathons
  • Browse
  • Judge Opportunities
  • Sponsors
  • Organizers
  • Map
  • Discover
Explore
  • Stats
  • State of Hackathons
  • Changelog
Personal
  • Passport
  • Favorites
  • Settings

QWEN AI BUILD DAY

devpostHosted on Devpost

Fetched 3 months ago

Thursday, April 9, 2026

to Friday, April 17, 2026

•

1 week long

Artificial IntelligenceData ScienceCloud
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

275

Participants

$4,000

Prize Pool

24

Est. Projects

About the challenge

Qwen AI Build Day is where builders turn ideas into working AI products.

We’re bringing together developers, startups, and AI builders to solve real enterprise-backed challenges using Qwen and Alibaba Cloud technologies.

Confirmed tracks:

  • Mobility Track by Tasco
  • Financial Services Track by Shin Han Bank
  • One additional track to be announced

This is not a “build something random and hope for the best” hackathon.

You’ll get:

  • real problem statements from enterprise-backed tracks
  • a defined build window
  • the chance to be shortlisted among the Top 10 teams for your track
  • the opportunity to pitch live in front of enterprise representatives and industry experts
  • the chance to win your track and present at ALIBABA CLOUD SME AI GROWTH DAY VIETNAM 2026 on 22 April 2026

For the Financial Services Track, the winning team will receive priority consideration for up to VND 200M in funding per team/startup, subject to successful PoC outcomes, to support product development and pilot scaling for Shin Han Bank.

Whether you’re an engineer, technical founder, product builder, or student with strong execution skills, this is your chance to build something useful, prove what you can do, and get in front of the right people.

Get started

Here’s how the program works:

Step 1 — Register
Sign up on Devpost and review the challenge details.

Step 2 — Join the kickoff webinar
Attend the kickoff webinar on 10 April 2026 to understand the challenge tracks, expectations, and how to build with Qwen / Alibaba Cloud.

Step 3 — Choose your track
Build for one of the official challenge tracks:

  • Mobility Track by Tasco
  • Financial Services Track by Shin Han Bank
  • One additional track to be announced

Step 4 — Build your solution
Teams will build during the official build period from 11–17 April 2026.

Step 5 — Submit on Devpost
Complete your project submission before the deadline with your demo, write-up, and required links.

Step 6 — Attend Qwen AI Build Day
All teams must attend the live event on 21 April 2026 in Ho Chi Minh City, or send at least one team representative. Teams that do not show up will be disqualified.

Step 7 — Pitch if shortlisted
On the event day, the Top 10 shortlisted teams for each track will be announced. Shortlisted teams will earn the opportunity to pitch live in front of judges consisting of enterprise representatives and industry experts.

Step 8 — Win your track or place in the Top 3
Each official track will have 1 Track Winner. In addition, Top 3 overall winners will be selected across the competition.

Step 9 — Advance to the final showcase
The track winners will present at ALIBABA CLOUD SME AI GROWTH DAY VIETNAM 2026 on 22 April 2026.

Sponsors

Qwen image

Qwen

Shinhan Future's Lab image

Shinhan Future's Lab

Elfie image

Elfie

Tasco image

Tasco

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