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Environmental-Data-Monitoring-AI

An AI system that can collect, process, and analyze various types of environmental data like air quality, climate patterns.

This project focuses on monitoring and analyzing environmental data, including air quality, humidity, temperature, and environmental state. The goal is to provide real-time insights and visualizations to understand the current state of the environment.

Dataset

The dataset used in this project is generated synthetically. It contains the following columns:

  • date: The date of the environmental measurement.
  • air_quality: The air quality measurement.
  • humidity: The humidity measurement.
  • temperature: The temperature measurement.
  • environment_state: The state of the environment (Normal or Abnormal).

Getting Started

Prerequisites

  • Python 3
  • Pandas
  • Matplotlib
  • Seaborn
  • Scikit-learn

Installation

  1. Clone the repository:

    git clone https://github.com/Sansgithub22/Environmental-Data-Monitoring-AI.git

*You can change the USER_AGENT while extracting the data as per your browser. *pip install requests_html