/smartlamp-website

Primary LanguageHTML

SmartLamp System Based on User Habits using C5 Algorithm

Introduction

This repository contains the source code and documentation for a SmartLamp system that adapts to the habits of the residents in a house. The system utilizes the C5 algorithm for classifying habits data. The microcontroller used is the ESP32, and all data is stored in Firebase.

Features

  • Adaptive Lighting: The SmartLamp system adjusts the intensity and color temperature of the light based on the habits of the residents.

  • Energy Efficiency: The system aims to optimize energy consumption by dynamically controlling the lighting conditions.

  • C5 Algorithm Implementation: The core of the system is built on the C5 algorithm, which classifies habits data to customize lighting preferences.

  • ESP32 Microcontroller: The system is implemented on the ESP32 microcontroller, providing a compact and efficient solution.

  • Firebase Integration: All habits and system data are stored securely in Firebase, enabling easy access and analysis.

Getting Started

Prerequisites

  • Arduino IDE with ESP32 support
  • Firebase account
  • Python 3.x for local testing
  • Required Python packages (listed in requirements.txt)

Installation

  1. Clone the repository to your local machine.

    git clone https://github.com/kisnak21/smartlamp-website.git
cd smartlamp-website

  2. Install the required dependencies.

    cd decision-tree-api
pip install -r requirements.txt

  3. Set up the ESP32 microcontroller with the provided Arduino sketch in the esp32 directory.

Usage

  1. Flash the Arduino sketch to the ESP32 microcontroller.

  2. Run the SmartLamp system.

    python main.py

  3. Follow the on-screen instructions to set up and configure the SmartLamp system.

Configuration

  • C5 Algorithm Parameters: Adjust the dataset that you want to use. It's up to you whatever the format is CSV or XLS.

  • Firebase Configuration: Update Firebase credentials and connection details in the firebase_config.json file.

  • User Preferences: Users can set their lighting preferences through the SmartLamp mobile app or a web interface.

Contributing

If you would like to contribute to the project, please follow the contribution guidelines.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

  • The C5 algorithm implementation is based on the work presented in the author's thesis or final project.

  • Special thanks to all of my friends for their contributions and support.

Contact

For inquiries and support, please contact [krisnastya21@gmail.com].

Feel free to explore the code and documentation to better understand the implementation of the SmartLamp system. Happy coding!