TA PRO

About the Project

This project was inspired by a simple but widespread problem at universities: students often need help outside limited office hours, while institutions struggle with the high cost and scalability of hiring enough teaching assistants. I wanted to build something that could support students 24/7 while also helping universities save money without sacrificing learning quality.

The core idea is an AI teaching assistant that helps students work through assignments, concepts, and practice problems at any time. Instead of giving direct answers, the system focuses on guiding students step by step—similar to how a good TA would—so learning still happens and academic integrity is preserved.

What I Built

I designed a web-based system where courses have their own AI TA, configured by the professor. Course materials, constraints (e.g., no direct answers), and guidance rules are provided upfront. Student questions are parsed into structured data, then handled through a deterministic logic layer to ensure consistent, explainable responses rather than relying purely on AI generation.

What I Learned

Through this project, I learned how to:

Design AI systems that augment education instead of replacing instructors
Balance flexibility with control to reduce misuse and cheating
Think about cost efficiency and scalability from a systems perspective
Combine AI reasoning with deterministic logic for reliability

Challenges

One of the biggest challenges was preventing the AI from acting like an answer machine. I had to carefully design constraints so the system helps students learn rather than shortcut the work. Another challenge was making responses consistent and trustworthy, which led to separating AI understanding from deterministic scoring and response rules.

Overall, this project showed me how AI can be used responsibly to improve access to education, reduce institutional costs, and give students reliable support whenever they need it.