AutoStudy AI — PDF Explanation via AI

Today I integrated Ollama with Qwen2.5:3b to generate AI-powered summaries directly from extracted PDF text.

What works

• Upload a PDF via the web interface
• Extract text from all pages using PyMuPDF
• Generate 5-point AI summaries using local Qwen2.5 via Ollama
• Display both summary and extracted text in the browser
• Fully offline — zero cloud API calls, complete privacy

Why this matters

AutoStudy AI now has local intelligence. The model runs locally on GPU (~4GB VRAM), allowing fast iteration and proving that small open-source LLMs handle Greek/English PDFs effectively for flashcards, quizzes, and concept extraction.

Tech stack

• Flask
• PyMuPDF (fitz)
• Ollama + Qwen2.5:3b
• Python 3.11
• Vanilla HTML/CSS/JS

Next step

Add CSS styling for a polished UI (dark mode, card layouts, mobile responsiveness, and loading animations).