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Michal

Bodzianowski

Creative Developer

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JIA Webapp

Building an app that allows LLMs to assist students and educators, from model, to backend, to frontend

TypeScript
AWS
AI/ML
🎓
This project is part of my work for the NSF National AI Institute for Student-AI Teaming

JIA Webapp

At iSAT, we are starting a new initiative to train and build an LLM-powered experience for students and educators. We are creating an agent that will assist students with typical worksheet problems autonomously, reducing load on teachers and educators while achieving education goals more often than current solutions. We aim to use LLM-powered agents to encourage students to arrive at conclusions themselves, and intend to use them to keep student work directed, effective and on-topic.
 
The JIA Webapp is the spear of this solution, and is currently being architected, written, designed, and developed by me with support from John Weatherly on the architecture, the iSAT team is in charge of agent R&D, and Elsy Meis for UI/UX work. I’m working on this as part of the SHINE Lab’s team, led by Dr. Leanne Hirshfield.
 

Photos

Early Prototype of One-Question-At-A-Time with Confirm Dialog
Early Prototype of One-Question-At-A-Time with Confirm Dialog
Early Prototype of One-Question-At-A-Time
Early Prototype of One-Question-At-A-Time
 
Built by Michal with Next.js/Tailwind/Framer Motion.