Fire Detection System Using Gas and Temperature Sensors

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

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

An IoT-powered system for real-time air quality monitoring and analysis. This project integrates environmental sensors with a machine learning model to predict and assess air quality indices. Features include data visualization, predictive analytics, and automated alerts for actionable insights.

Smoke Detector built with Raspberry Pi using MQ2 Gas Sensor.

This is a mini-project on an air pollution monitoring system using an ESP32 WiFi module, designed to connect to ThingSpeak.

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.

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.

Analysis application for gas and temperature measurements from DHT11, MQ2, with support of ESP-32

Azure IoT based Home Sensors Dashboard and Alerts

A gas leakage detection system using Arduino, MQ-2 sensor, buzzer, and servo motor to ensure safety in domestic and industrial environments.

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

IoT Environmental Monitoring using ESP32 (Wokwi Simulation) – Monitors temperature, humidity, and gas levels using DHT22 and gas sensors on an ESP32. Fully simulated on Wokwi with real-time Serial Monitor output, and extendable to Blynk for remote monitoring and alerts.

A project to use MQ7 / MQ2 sensors along with uMQTT for tracking gas levels. Implemented on Pycom FiPy/WiPy esp32 micropython microcontroller. MQTT and push notification on phone implemented.

Innovative Gas Leak Detection System

IoT based Pollution Detecting system using Arduino and android native application

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

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

IoT Embedded Application illustrating the creation and use of a custom chip. The chip is an MQ2 Gas Detector Module.