NotesMaker

Automated Note Generation Using Ollama & Mistral

📌 Project Overview

This project automates the creation of structured notes using Ollama and the Mistral language model. It reads a .txt file containing topics separated by commas, sends each topic as a prompt to the Mistral model, and generates well-organized notes.

🚀 Features

• Read topics from a .txt file
• Generate detailed notes using the Mistral model via Ollama
• Print notes directly in the output or save them to a file (generated_notes.txt)
• Simple, flexible, and easy to use

🛠️ Requirements

• Python 3.x
• Ollama installed locally
• Mistral model available in Ollama
• A .txt file with topics separated by commas

📖 How to Run

1. Install Ollama and ensure the Mistral model is available.
2. Create a file topics.txt with topics like:

   AI, Blockchain, Quantum Computing
   

3. Run the script:

   python generate_notes.py

4. View notes either in the output or in generated_notes.txt.

🧠 About the Mistral Model

Mistral is an advanced Large Language Model (LLM) designed for efficiency and high-quality text generation. It excels in understanding complex topics, structuring information, and creating meaningful summaries.

📂 File Structure

📂 Project Folder
 ├── topics.txt    # Input topics file
 ├── generate_notes.py  # Python script to process topics
 ├── generated_notes.txt  # (Optional) File where notes are saved
 ├── README.md  # Documentation for the project

🏗️ Future Enhancements

• Implement batch processing for efficiency
• Improve prompt engineering for optimized note generation
• Explore additional AI models for specialized topics
• Feel free to send pull requests and contribute to this project

💡 Credits

Developed by Vikrant using Ollama + Mistral. Special Thanks To ED Donner