From Notes to Knowledge: Building StudyBuddy AI with Gemma 3 & Open-Source AI 🚀 | #Hacktoberfest2026

Описание и применение

StudyBuddy AI автоматизирует создание учебных материалов, сокращая время подготовки для преподавателей и небольших учебных центров.

Задача

Tutors and small coaching centres spend hours preparing quizzes and revision material from study notes.

Результат

StudyBuddy AI automates educational content creation, reducing preparation time for tutors and small coaching centres.

Рабочий процесс

• User uploads study material through the web app frontend.
• Frontend sends request to backend API.
• Backend forwards request to Gemma 3 4B via Ollama local runtime.
• Model generates educational content.
• Frontend displays output for review and reuse.

Доказательства

StudyBuddy AI aims to help by turning study material into structured educational content, including: 📚 Concise revision notes for faster learning. ❓ Multiple-choice questions for topic-wise practice. 🧠 Practice questions to reinforce understanding. 📝 Reusable learning materials for tutors and educators.

Источник

The project uses a modern web development stack combined with open-weight AI. Technology stack: React + Vite — frontend application. Tailwind CSS — responsive user interface. Node.js + Express — backend API. Ollama — local model runtime. Gemma 3 4B — open-weight language model.

Источник

The backend communicates with Gemma through Ollama. The model generates the requested educational content.

Источник