StudyB: A Private Local AI Practice Partner for a College Friend 🎓

This is my submission for the Hacktoberfest Weekend Challenge: Build for a Friend.

What I Built

I built StudyBuddy, a small AI-powered practice partner for a college friend preparing for technical interviews, vivas, and exams.

The problem was simple: sometimes you want to practice technical questions, but there isn't always someone available to practice with.

StudyBuddy provides three focused modes:

• Viva Practice — practices questions one at a time like a viva examiner.
• Interview Practice — focuses on technical interview topics such as Java, DSA, DBMS, and networking.
• Explain a Topic — explains difficult concepts in simpler language with examples.

I wanted to build something small that solves one real problem rather than another generic chatbot.

Demo

The project is designed to run as a local Streamlit application.

A short demonstration of the application and its workflow is included with the project materials.

Code

GitHub repository:

https://github.com/akshat0042005/StudyBuddy

How I Built It

StudyBuddy is built with:

• Python
• Streamlit
• Ollama
• Qwen2.5 1.5B Instruct
• Local HTTP inference

The architecture is intentionally simple:

text
User
  |
  v
Streamlit UI
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  v
Python Application
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  v
Ollama Local API
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  v
Qwen2.5 1.5B
  |
  v
Practice / Explanation / Feedback