Buildor

Buildor is my major project for my final semester in B.Tech, and it's something I've been genuinely passionate about building. The concept is simple but important: an AI-powered hint generation system for Data Structures and Algorithms (DSA) that doesn't promote cognitive offloading in students.

The Problem

When students are learning DSA, they often turn to solutions or AI tools that simply give them the answer. While this might help them complete an assignment, it doesn't help them actually learn. They become dependent on these tools, and when it comes time to solve problems independently, they struggle.

This is called cognitive offloading—relying on external tools to do the thinking for you instead of developing your own problem-solving skills. It's a real issue in computer science education, and it's something I wanted to address.

The Solution

Buildor is designed to provide hints, not answers. Instead of telling students exactly what to do, it guides them through the problem-solving process. It asks questions, suggests approaches, and helps them think through the logic without doing the work for them.

The goal is to build a system that promotes active learning. Students should be able to use Buildor when they're stuck, but instead of getting a solution handed to them, they get the nudge they need to figure it out themselves.

Work in Progress

Buildor is still a work in progress. There are challenges to solve—how to generate hints that are helpful but not too revealing, how to adapt to different learning styles, how to make the system intelligent enough to understand where a student is stuck and what kind of guidance they need.

But I'm glad to see it come to life. Every iteration brings it closer to being a tool that can genuinely help students learn DSA in a way that builds their skills rather than replacing them.

This project represents everything I care about—education, AI, and building tools that make a real difference in how people learn. I'm excited to see where it goes.