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FriendStudy AI — an open-source AI study companion for students

A developer built FriendStudy AI, an open-source AI study companion that combines concept explanations, study planning, practice questions, and progress tracking in a single workspace. The project runs the open-weight Qwen 2.5 3B model locally through Ollama, letting it avoid reliance on proprietary model APIs, and is available as a live demo and on GitHub.

by read2 min views1 publishedOct 11, 2026

I built FriendStudy AI — an open-source AI study companion for students 📚

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

I built FriendStudy AI, an AI-powered study companion designed to help students study more effectively.

Students often switch between multiple tools to understand difficult topics, create study plans, practice questions, and track their progress. I wanted to bring these activities together in one simple workspace.

FriendStudy AI helps students organize their learning, practice concepts, and build consistent study habits with the help of AI.

I built FriendStudy AI for students who want a simple study companion to help them understand concepts, practice questions, and stay consistent with their studies.

Students sometimes struggle not because they lack motivation, but because planning, learning, and revision are scattered across different tools.

FriendStudy AI brings these activities together so students can spend more time learning and less time organizing their study workflow.

Here is the technology stack behind the project:

I used an open-weight AI model so I could experiment with AI-powered study assistance without relying entirely on a proprietary model API.

Open-source AI and open-weight models give developers more freedom to understand, customize, and experiment with AI systems.

For FriendStudy AI, using Qwen 2.5 3B through Ollama gave me an opportunity to explore local model inference and build an AI-powered learning experience using tools that developers can inspect and adapt. This approach also makes it possible to experiment with different models and configurations as the project evolves.

I believe open innovation matters because students and developers should have opportunities to build useful tools without being completely dependent on closed platforms.

🌐 **Live demo:** [https://friendstudy-ai-hf26.vercel.app/](https://friendstudy-ai-hf26.vercel.app/)

💻 **GitHub repository:** [https://github.com/arkendukundu-dev/friendstudy-ai-hf26](https://github.com/arkendukundu-dev/friendstudy-ai-hf26)

I would like to improve FriendStudy AI by adding:

Building FriendStudy AI helped me explore how open-source AI can be used to solve a practical problem for students.

I wanted to create something more useful than a basic chatbot: a study companion that brings planning, practice, and progress tracking together.

This project is an ongoing learning experience for me, and I look forward to improving it with feedback from other developers.

What feature would you add to an AI study companion to make learning easier?

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