SmartDash

📡 A modern web application to monitor and manage your smart devices effortlessly from a centralized dashboard.

Installation • Database Integration • Hardware • Wiki

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📋 Overview

SmartDash is a lightweight, flexible, and easy-to-use web dashboard designed to manage and monitor your smart home devices.
Built with Python (Flask) and JavaScript, it enables you to connect to various databases and offers a streamlined setup experience.

Key Features:

• 📱 Centralized control panel for your smart devices
• ⚡ Quick and easy database configuration
• 🧩 Modular architecture for future expansion
• 🌐 Built using Flask and modern frontend technologies

To be added:

• ESP32 website flasher;
• Hardware diagrams for ESP32 (SmartPlug, SmartSwitch, SmartLight, Thermostat, etc.);
• Larger solar inverters brand support;

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🚀 Installation

Target of this project

The target of this project is to create your own smart home dashboard on your old computer or Raspberry Pi. It is designed to be lightweight and easy to set up, making it perfect for those who want to create a smart home system without the need for expensive hardware or complex software. Since Home Assistant is a bit heavy for Raspberry Pi, this project is designed to be lightweight and easy to set up for those who want to learn about smart home systems and create their own dashboard. This project is not intended to be a full-fledged smart home system, but rather a starting point for those who want to learn about smart home systems and create their own dashboard. It is designed to be modular and extensible, allowing you to add your own features and functionality as needed.

Prerequisites

• Python 3.10 or 3.11
• pip (Python package manager)
• A supported database (PostgreSQL, MSSQL, MySQL, MariaDB, Firebird, Sybase)

Setup Instructions

1. Clone the repository:

   git clone https://github.com/t0ry003/SmartDash.git
   cd SmartDash

2. Create and activate a virtual environment:

   python -m venv venv
   # Activate the virtual environment
   source venv/bin/activate   # On Windows: venv\Scripts\activate

3. Install required Python packages:

   pip install -r requirements.txt

4. Run initial setup and database configuration:

   python app.py

   This will guide you through generating a config.json file based on your database credentials.

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⚙️ Database Integration

Tested Databases

• PostgreSQL: PostgreSQL (https://www.postgresql.org/)
• MSSQL: Microsoft SQL Server (https://www.microsoft.com/en-us/sql-server/sql-server-downloads)
• MySQL: MySQL (https://www.mysql.com/)
• MariaDB: MariaDB (https://mariadb.org/)

Database Setup

PostgreSQL (Recommended) - https://www.w3schools.com/postgresql/postgresql_install.php

Why we recommend PostgreSQL?

• neon.tech: Neon is a serverless PostgreSQL database that allows you to create a free database with a single click. It is easy to set up and provides a great user experience.
• DIY: If you prefer to set up your own PostgreSQL database, you can do so by following the instructions on the official PostgreSQL website. It provides detailed documentation on how to install and configure PostgreSQL on various platforms.
• Performance: PostgreSQL is known for its high performance and scalability, making it suitable for handling large datasets and complex queries.

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🛠️ Hardware Setup

ESP32

SmartPlug, SmartLight

ESP32 Relay

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Thermostat

ESP32 Thermostat DHT11 + BMP180

ESP32 Thermostat DHT11

ESP32 Thermostat BMP180