This is a submission for the Gemma 4 Challenge: Build with Gemma 4
What I Built
I built a local Socratic Study Buddy application. It pairs the localized inference engine of LM Studio with a custom-built Streamlit Web UI frontend. Instead of acting as a lazy "answer engine" that does a student's homework for them, this tool forces the underlying Gemma 4 model to plan pedagogical strategies and use structured dialogue to guide critical thinking.
Demo
Here is how the complete architecture interacts within the custom Python frontend workspace:
Check out more details in this blogpost :)
Code
The entire layout—including the Python automation scripts, system prompt templates, configurations, and the Streamlit frontend architecture—is completely open-source:
👉 Check out the GitHub Repository Here
How I Used Gemma 4
Gemma 4 powers the core logic of this project through its Chain-of-Reasoning process. Gemma 4 has the capacity for a native Chain-of-Reasoning process.
Instead of jumping straight to an answer, Gemma 4 works through logical steps internally before it speaks. This makes it a perfect mentor. While other models might just do your homework, Gemma 4 is trained to identify where you are stuck and nudge you toward the solution.