Abhirup has an architectural eye and a strong sense of internal consistency: however impossible the structure, the light and the people inside it have to behave. He holds systems to that same standard, checking that they stay inside what they actually know.
ARIA
Abhirup Koduru · Rehan Jalali
The problem they picked
A school counselor carries something like 376 students at once. At that ratio the personalized part of college advising is not neglected, it is arithmetically impossible — and the students who still get it are the ones who already knew what to ask for, which is exactly the wrong half.
ARIA hands every student the parts of that conversation a system can carry: a readiness score they can see the breakdown of, matches drawn from their own profile, and scholarships and opportunities they would otherwise have had to hear about from someone.
“The average school counselor deals with roughly 376 students, making personalized guidance quite difficult.”
ARIA, at the showcase
How it was built
Data Modeling
The readiness score is their own weighted model, computed from the student's profile — so every number on the breakdown screen traces back to something the student actually entered.
Project Planning
Four capabilities scoped as independent modules — readiness, college matching, admissions intelligence, and roadmap guidance — so each could be built and tested on its own.
Database Management
A structured college dataset that the match view and the opportunity finder both read from.
ViteBuild Tool
Modular JSON architectureContent Architecture
Structured college datasetData
Also in the buildWeighted readiness scoring · Interest-profile college matching · Scholarship and internship search
