ESP Sensors Analyzer

ESP Sensors Analyzer is a lightweight and powerful web application for visualizing temperature and gas measurements collected from ESP-based sensors. This project provides real-time graphs and charts to help you analyze sensor data effortlessly.

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Features

• 📊 Interactive Graphs and Charts: Real-time visualization of temperature and gas measurements.
• 🌡️ Sensor Data Monitoring: Fetch and display data from your ESP devices with minimal configuration.
• 🚀 Lightweight and Fast: Built with modern web technologies for optimal performance.
• ⚙️ Customizable and Scalable: Easily extend or integrate with other IoT systems.

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Getting Started

Prerequisites

• An ESP32 or similar microcontroller with connected sensors (e.g., MQ2 for gas detection, DHT11 for temperature and humidity).
• A stable Wi-Fi connection for the ESP device to communicate with the web application.
• Node.js and npm/yarn installed on your system.

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Installation

1. Clone the Repository

   git clone https://github.com/chronosgit/esp-sensors-analyzer.git
   cd esp-sensors-analyzer

2. Install dependencies

   npm install

3. Configure ESP Device and the environmental variables
4. Start the Application

   npm run dev

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How It Works

• The ESP device collects temperature and gas data using connected sensors.

• Data is sent to the web application via an API or WebSocket.

• The application processes the data and visualizes it with dynamic charts and graphs.

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Technologies Used

• Frontend: Nuxt 3, Typescript, Tailwind CSS, Chart.js, pinia etc.

• Backend: Node.js, MongoDB, Mongoose

• ESP Firmware: Arduino, ESP32, DHT11, MQ2