/AI_ECS

Primary LanguagePython

AI-Based Environmental Control System (ECS)

Overview

The AI-Based Environmental Control System (ECS) is an intelligent system designed to optimize home environments for the elderly and disabled. This system leverages AI and IoT technologies to continuously monitor environmental conditions (such as temperature, humidity, and air quality) and automatically adjust these conditions to suit the specific needs and preferences of the user. The ECS aims to enhance comfort, safety, and independence for individuals who may have mobility or health challenges.

Key Features

  • Real-Time Monitoring: Continuously collects data from various environmental sensors installed in the home.
  • AI-Powered Optimization: Uses machine learning models to predict the optimal settings for temperature, lighting, and air quality based on user preferences and health data.
  • IoT Integration: Communicates with smart home devices (e.g., thermostats, lighting systems) to adjust environmental conditions automatically.
  • User-Friendly Interface: Provides a web and mobile interface for users and caregivers to interact with the system, monitor conditions, and override automatic settings if needed.
  • Alerts and Notifications: Sends alerts to users or caregivers if conditions fall outside of safe parameters.

How It Works

  1. Data Collection:

    • Sensors placed around the home collect data on temperature, humidity, air quality, and other relevant environmental factors.
    • The system also integrates user health data, such as heart rate or respiratory information, to further customize the environment.

  2. AI Prediction:

    • The collected data is sent to an AI model that predicts the optimal environmental settings (e.g., the ideal room temperature or lighting level).
    • The AI model is trained on historical data to understand user preferences and adjust settings accordingly.

  3. Environmental Adjustment:

    • The system communicates with IoT devices, such as smart thermostats and lighting systems, to adjust the home environment automatically.
    • Users can also manually adjust settings via the web or mobile interface if they prefer.

  4. Continuous Learning:

    • The AI system continuously learns from new data, refining its predictions over time to better meet user needs.

  5. Alerts and Notifications:

    • The system sends alerts to the user or designated caregivers if environmental conditions become unsafe or if the system detects anomalies in the user’s health data.