I Built a Local AI Study Assistant for a Friend with Gemma and Ollama

Описание и применение

Создан локальный помощник для подготовки к экзаменам, использующий Gemma 3 1B через Ollama, позволяющий быстро преобразовывать длинные заметки в краткие резюме, вопросы и ответы без отправки данных в облако.

Задача

Students spend excessive time converting long class notes into revision material, risking privacy by sending notes to external AI services.

Результат

The MVP successfully produces concise study material locally without external API calls, preserving privacy and reducing preparation time.

Рабочий процесс

• Paste notes into the web interface
• Click "Generate Study Material"
• Flask forwards notes to local Ollama API
• Ollama runs Gemma 3 1B to generate summary, questions, answers
• Result displayed in browser for review

Доказательства

I built this for a friend who spends a lot of time going through college notes before exams and creating revision material manually.

Источник

The application has a very small architecture: Student → Study Notes → Flask Web App → Ollama → Gemma 3 1B → Summary + Questions + Answers → Student

Источник

The Flask application communicates with Ollama using its local API.

Источник