The problem: Studying shouldn't feel overwhelming
Sometimes, the hardest part of preparing for an exam isn't learning a concept—it's figuring out where to start.
Long lecture notes, multiple topics, and limited revision time can make studying feel overwhelming. I wanted to explore whether a small AI-powered tool could make that process easier for a friend who struggles with revising lengthy study material.
That idea became StudyBuddy AI.
💡 The idea
StudyBuddy AI is a simple study companion that turns pasted notes into different revision formats.
Instead of reading the same notes repeatedly, a student can choose how they want to learn:
Summaries: Organize lengthy notes into key concepts and definitions.
Flashcards: Practise active recall with question-and-answer pairs.
Practice quizzes: Test understanding and review the answers.
Simple explanations: Break down difficult concepts into more approachable language.
Revision plans: Organize material into manageable study sessions.
The goal isn't to replace teachers, textbooks, or independent thinking. It's to give students another way to work with material they already have.
🤖 Open-source AI at the core
I built the interface using HTML, CSS, and vanilla JavaScript. For AI generation, the prototype connects to Ollama, which can run an open model locally on a computer.
The planned model is qwen2.5:3b.
I chose a local-first approach because study notes can contain personal information, and I wanted to explore a design that doesn't depend on a hosted AI API by default.
The application sends notes to the configured Ollama endpoint when the user requests generated material. The AI integration requires Ollama and the model to be installed and running; I will only describe it as verified after testing it successfully.
🛠️ What I built
The current prototype includes:
A responsive interface for desktop and mobile.
Five study modes.
Study-level options.
Copy and text-file export controls.
A configurable local AI endpoint.
Error messages for missing or unavailable AI services.
I also tried to keep the implementation beginner-friendly, with no frontend framework or build process required.
🌱 What I learned
This project reminded me that useful software doesn't always need to start with a huge feature list.
A focused tool that addresses one real problem can be a better starting point than an unnecessarily complicated application.
It also highlights an important limitation: AI-generated study material can contain mistakes. Students should verify important information against their original notes and course resources.
🔓 What's next?
Some features I'd like to explore next:
PDF text import.
Interactive, flip-style flashcards.
Saved study sessions.
Subject-specific revision templates.
Better accessibility and testing.
💚 Built for a friend
This project began with a simple thought: could I use open-source AI to make studying a little less stressful for someone I know?
I'm building StudyBuddy AI as a small experiment in using technology for a practical, everyday problem.
Project repository: StudyBuddy AI
This is an early prototype, and I'm looking forward to improving it through testing and feedback.
Top comments (0)