/smart-light-control-system

The SmartLight Control System leverages AI for intelligent lighting management. This project includes a cloud-based web app, PostgreSQL database, and Home Assistant integration for comprehensive lighting control. Users can manage brightness, color, and state while the system collects data to train AI models for automation.

Primary LanguagePythonMIT LicenseMIT

SmartLight Control System

Overview

This project implements an intelligent lighting control system using artificial intelligence. The system includes a cloud-based web application, a PostgreSQL database, and integration with Home Assistant for managing lighting devices. Users can control the brightness, color, and state of their lights through the application. The system also collects user data to train AI models for automating lighting control based on user behavior patterns.

Features

  • User authentication and profile management
  • Integration with Home Assistant for controlling smart lights
  • Data collection of user interactions for AI model training
  • AI-driven predictions for automated lighting control
  • Web-based interface for managing lighting devices

Technologies Used

  • Backend: Django, PostgreSQL
  • Frontend: HTML, CSS, JavaScript (Vanilla)
  • AI/ML: XGBoost, RandomForestRegressor
  • Integration: Home Assistant API, Nabu Casa cloud service

Installation

Prerequisites

  • Python 3.8+
  • PostgreSQL
  • Home Assistant setup with Nabu Casa subscription

Steps

  1. Clone the repository

    git clone https://github.com/nillovych/SmartLight-Control-System.git
cd SmartLight-Control-System

  2. Set up the virtual environment

    python -m venv env
source env/bin/activate  # On Windows use `env\Scripts\activate`

  3. Install the dependencies

    pip install -r requirements.txt

  4. Configure PostgreSQL

    • Create a PostgreSQL database and user
    • Update settings.py with your database credentials

  5. Run migrations

    python manage.py migrate

  6. Run the server

    python manage.py runserver

Usage

  1. Register and log in Create an account and log in to access the lighting control interface.

  2. Connect to Home Assistant Enter your Home Assistant domain and long-lived access token in the profile settings.

  3. Manage lights View and control your connected lights from the main dashboard. Adjust brightness, color, and state.

  4. Enable data collection Opt-in to data collection to allow the system to record your interactions and train AI models.

  5. Train AI model Once sufficient data is collected, train an AI model to automate lighting control based on your behavior.

Contributing

  1. Fork the repository
  2. Create a new branch 
    git checkout -b feature/your-feature-name
  3. Commit your changes 
    git commit -m 'Add some feature'
  4. Push to the branch 
    git push origin feature/your-feature-name
  5. Open a pull request

Contact

For any inquiries or feedback, please contact [danykyurkevych@gmail.com].