Machine learning
AI Agent Planner
A goal-planning application combining language-model generation, web search, weather data, and stored plan history.
Overview
Turning an intention into a starting plan
AI Agent Planner accepts a goal written in everyday language and produces a suggested plan. It adds web-search and weather context where relevant, and keeps a history so earlier plans can be revisited.
The idea is to reduce the blank-page problem between knowing what someone wants to do and deciding how to begin. The application proposes steps; the person remains responsible for choosing and carrying them out.
Technical detail
A Flask interface connects to a LangChain planning module backed by a Groq-hosted language model. Separate helpers supply Serper search results and weather information.
SQLite stores generated plans and their history. Routes, generation logic, external tools, and persistence are separated so each part of the planning workflow has a defined responsibility.