README.md

metadata

title: Learn Pathophysiology
emoji: ⚔️
colorFrom: purple
colorTo: red
sdk: docker
app_port: 7860
pinned: false

Learn Pathophysiology - WC3 Edition ⚔️

AI-powered chatbot for learning Pathophysiology with authentic Warcraft 3 styling!

🎮 Features

💬 AI Chat

Ask questions about Pathophysiology in Croatian and get detailed, RAG-powered answers grounded in the official Gamulin textbook.

📸 Image Analysis

Upload textbook pages and get AI-powered analysis, explanations, and Q&A.

🎨 WC3-Themed Interface

Choose from 4 authentic Warcraft 3 race themes:

• Human - Blue/silver Alliance theme
• Orc - Red/brown Horde theme
• Night Elf - Purple/teal nature theme
• Undead - Green/dark Scourge theme

🤖 Multi-Model Support

• Gemini 3 Flash Preview - Fastest, newest model
• Gemini 2.5 Flash - Fast and reliable
• Gemini 2.5 Pro - Most capable for complex questions

📚 RAG-Powered

All answers are grounded in the official Patofiziologija (Gamulin, Marušić, Kovač) textbook, with citations to page numbers.

🏗️ Technology Stack

• Frontend: Vue 3 + TypeScript + Custom WC3 UI library
• Backend: FastAPI (Python)
• AI: Google Gemini API
• RAG: ChromaDB vector database
• Deployment: Docker

🎓 For Medical Students

This app is specifically designed for medical students at University of Split School of Medicine to help master Pathophysiology through:

1. Interactive Q&A - Ask anything about Pathophysiology
2. Contextual Learning - Get explanations grounded in your textbook
3. Image Analysis - Understand complex diagrams and pages
4. Citation Support - See exactly where information comes from

🚀 Usage

Simply:

1. Select your preferred AI model (top-left sidebar)
2. Choose your favorite WC3 race theme
3. Start chatting or upload an image!

Example Questions (in Croatian):

• "Što je hipertenzija i kako nastaje?"
• "Objasni patofiziologiju dijabetesa tipa 2"
• "Kako funkcionira renin-angiotenzin-aldosteron sustav?"

🌐 Open Source

This project is open source! Check out the code on GitHub:

• Frontend: Vue 3 + TypeScript with custom WC3 UI components
• Backend: FastAPI with Gemini AI integration
• RAG: ChromaDB with Gemini embeddings

📝 Credits

• UI Design: Inspired by Warcraft 3 (Blizzard Entertainment)
• Content: Based on Patofiziologija textbook by Gamulin, Marušić, Kovač
• AI: Powered by Google Gemini
• Development: University of Split School of Medicine project

⚠️ Disclaimer

This is an educational tool. Always verify medical information with official sources and your professors. The AI can make mistakes!

---

Built with ❤️ and Warcraft 3 nostalgia

For the Alliance! For the Horde! For passing exams! ⚔️📚