Enhancement of Air quality prediction by using LLM
An AI-powered air quality analysis platform that leverages Large Language Models (LLMs) to provide intelligent insights, pollution trend analysis, and natural language interaction with environmental data.
Overview
Air Quality LLM is an AI-driven application designed to make air quality data more accessible and understandable through natural language interactions and intelligent analytics. The platform combines environmental monitoring data with Large Language Models (LLMs) to help users explore pollution trends, air quality metrics, and environmental conditions through conversational queries. Instead of relying solely on traditional dashboards, users can ask questions in natural language and receive context-aware insights about air pollution levels, historical trends, and environmental factors. The system processes air quality datasets, performs analytical computations, and generates human-readable explanations that simplify complex environmental information. By integrating machine learning, data analysis, and conversational AI, the project demonstrates how LLMs can be applied to environmental monitoring and decision support systems.