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The Golden Seat - 100% Scholarship
The 20 best entries get a full scholarship. We're judging clarity of thinking — can you spot a real problem around you and picture a working piece of software to solve it? Not the technical details, just what the software should do and who does what in it. Show us that in your app description below. Articulate it well, and you're exactly the kind of person we can take from this idea to a production app by the end of the workshop.
From Ideas to Reliable Apps
using AI
For manufacturing professionals who want to build their own tools without learning to code.
Certificate of completion included.
Who it's for
Operations, production, maintenance, quality — whichever department of manufacturing you belong to. No AI or software background needed. Just be good at what you do and know where the friction is.
Agenda
- How to turn real manufacturing problems into working apps using AI
- How to explain what you need clearly so the AI builds the right thing
- The difference between a fragile demo and an app you can actually rely on
- How to get your app into the hands of your team and keep improving it
- Walk away with an app built around your work, not a generic template
You don't need to be a developer
With AI, building a tool is as simple as explaining what you need in your own words. You know the problem better than anyone — don't hesitate, bring it as is.
Yuvraj
Published IoT and AI research spanning BITS Pilani and NUS Singapore. First employee at an Accel and Nexus-backed startup, driving GTM and product. Earlier founded a deep-tech startup backed by the Hong Kong Science and Technology Park.
Ishan
Started at AWS, then left to pursue computer science research at HKUST. Along the way, built production AI applications for Fortune 500 companies and a trading platform for an Australian trading firm, before ContextWeaver.