Fire Detection System Using Gas and Temperature Sensors

Smoke Detector built with Raspberry Pi using MQ2 Gas Sensor.

An intelligent system to monitor a live feed, fire, water in the tank, temperature, and humidity conditions on the farm. Linear regression prediction model to forecast weather conditions for the next day

Gas leakage detector

Integration of cloud processing and monitoring capabilities to efficiently manage sensor data.

Azure IoT based Home Sensors Dashboard and Alerts

The Smart Warehouse Monitoring System using IoT is a comprehensive project aimed at revolutionizing warehouse management by integrating IoT technology. This repository hosts the source code and documentation for building a sophisticated monitoring system that enhances the efficiency, security, and oversight of warehouse operations.

Innovative Gas Leak Detection System

IoT based Pollution Detecting system using Arduino and android native application

The business name of the proposed project is "SafeTechs". Furthermore, this project aims to boost the current rescue operations & road safety methodologies in Sri Lanka by utilizing digital technologies. To experience this platform, Join Now.

This is a Smart Home Automation System Model, designed and created using different sensors with Arduino

This project uses IoT and machine learning to detect food spoilage and provide personalized diet and workout recommendations, promoting healthy habits and an active lifestyle.

This system leverages the MQ2 gas sensor and ESP8266 to monitor gas levels, with data visualization available on the ThingSpeak cloud platform.

Research Project from the Internet of Things course: Prototype Integration of MQ-2 Sensor on WhatsApp Bot and Website to Detect Gas Leaks

An Arduino Sketch for MQ2 Smoke Sensor to detect cigarette smoke for ATmega328P Boards

Smoke detection system using MQ2 gas sensor.

Gas Leakage and Prevention System using Zolertia Zoul Re-Mote Module

2nd Semester CCSE Engineering Department - Sensors Project (Smart Home)

This project uses IoT and machine learning to detect food spoilage and provide personalized diet and workout recommendations, promoting healthy habits and an active lifestyle.