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

说明与用途

StudyBuddy AI 自动化生成学习材料，减少教师和小型辅导中心的准备时间。

问题

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

结果

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

工作流

• 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.

证据

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.

来源

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.

来源

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

来源