Education planning · AI decision support
NextChapter
Give ambition a plan, and make the trade-offs visible.
An AI-assisted planning system that helps students explore practical pathways toward their ambitions.
Hackathon prototype
USAII Global Hackathon Finalist
See the options.
Understand the trade-offs.
Choose the next step.
01The context
The problem
worth solving.
An ambition does not explain what to do next, what a path may cost or what a student might have to give up. NextChapter explores how decision support can expose those questions before someone commits to a route.
Who it’s for
Students making education and career decisions, including Malaysian high-school, pre-university, undergraduate and postgraduate students.
The solution
The prototype gathers current conditions and goals, asks clarifying questions, researches possible pathways and presents a roadmap. Alternative routes include costs, risks, feasibility estimates and visible assumptions so the user can review the reasoning.
02What we built
The details that
make it useful.
- Clarify the starting point
- Follow-up questions help identify constraints and missing information before a path is generated.
- Explore alternatives
- The demo presents several routes with different steps and trade-offs instead of a single prescribed answer.
- An actionable roadmap
- Individual steps explain how to progress, what could count as evidence and which risks or sacrifices to consider.
- Visible planning assumptions
- The prototype surfaces assumptions, information sources and feasibility scores for the user to question.
03How it works
A clear path
through the system.
Describe
Share current conditions, constraints and ambitions.
Clarify
Answer follow-up questions about important unknowns.
Explore
Research and compare possible pathways with calculation support.
Decide
Review the roadmap, assumptions and trade-offs before choosing a direction.
04A closer look
Inside NextChapter.
Clarify before recommending
A focused question about an example user’s starting assumptions. This is prototype planning support, not a prediction of future income.
Different routes, different commitments
A generated pathway from the recorded demo. Feasibility scores and financial values are prototype planning estimates.
Make the next step concrete
Expanded roadmap detail shows suggested actions, evidence of progress and risks or sacrifices.
Let people inspect the reasoning
Visible assumptions from the prototype decision-support experience.
05Design & engineering
Thoughtful choices.
Practical value.
A decision, not just an answer
The interface keeps alternatives and trade-offs visible. That helps communicate why two reasonable pathways may suit different circumstances.
Detail at the right moment
Roadmap steps expand into actions, evidence of progress and risks. The demo also makes assumptions available for closer inspection.
The user keeps the final choice
Collection, planning, calculation and output agents support the decision process. Estimates remain part of the prototype’s planning model, not promises about future outcomes.
06Where it stands
Recognized as a finalist.
USAII Global Hackathon Finalist. The prototype demonstrates an AI-assisted pathway-planning experience with alternatives and transparent assumptions.
The recommendations, probabilities and financial estimates are prototype decision-support outputs. They do not guarantee admission, employment, income or any other future outcome.
