Intelligent Daily Planner

Example Use Cases

• 1

  Schedule and manage daily tasks and meetings using natural language.

• 2

  Search and summarize daily activities contextually.

• 3

  Privacy-first, offline large language model reasoning for task planning.

Description

This project is an intelligent planning assistant that uses local large language models via Ollama to understand natural language commands. It helps users schedule tasks and meetings, search and summarize their day, maintain context-aware conversations, and store memory and user preferences. The tool offers both a Streamlit frontend and a CLI interface, focusing on privacy-first offline reasoning with the Mistral 7B model. It aims to improve daily productivity by providing a smart, context-aware task management experience.