Noto.ai 📝🧠

Your intelligent, AI-powered PDF research companion — powered locally by LLaMA 3 via Ollama.

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🌟 Overview

Noto.ai transforms static PDFs into interactive, AI-narrated research companions. Ask questions, summarize content, and interact naturally — all while keeping your AI engine local and private using Meta’s LLaMA 3 via Ollama.

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🚀 Features

Feature	Description
📄 PDF Reader	Upload and parse any PDF
🤖 Chat with PDF	Interact with your documents using LLaMA 3
🧠 Summarization	AI-generated summaries of sections or pages
📍 Search & Navigate	Quickly find terms and content
🌙 Dark Mode	Kivy-powered user-friendly interface
🖥️ Works Offline	No cloud required – local model inference

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🛠️ Tech Stack

• UI: Python + Kivy + KivyMD
• AI Backend: LLaMA 3 via Ollama
• PDF Parsing: PyMuPDF (fitz)
• Text-to-AI: Local API calls to http://localhost:11434/api/generate

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📦 Installation

🐍 Python Environment

git clone https://github.com/sagnikdatta2k6/noto-ai-app.git
cd noto-ai-app
pip install -r requirements.txt

🤖 Ollama Setup (LLaMA 3)

1. Install Ollama

2. Pull LLaMA 3 model:

   ollama pull llama3

3. Run the model:

   ollama run llama3

▶️ Run the App

python main.py

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Workflow

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⚙️ .env Configuration (Optional)

If needed, configure .env:

OLLAMA_API_URL=http://localhost:11434
MODEL_NAME=llama3

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🤝 Contributing

1. Fork the repo
2. git checkout -b feature/improve-ui
3. Make your changes
4. Submit a pull request ✨

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📜 License

MIT License. See LICENSE.

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🙋‍♂️ Author

Sagnik Datta 🌐 GitHub