gas-detection

Air Pollution Detection model using Raspberry pi 3 Model B.

IoT-based Gas Leakage Detection System using Arduino UNO and MQ-2 Gas Sensor for real-time gas monitoring and safety alerts.

An IoT smart assistant built with ESP32 and Python. Integrates LLM-based voice interaction and real-time MQ2 gas sensor monitoring with automated safety alerts.

Always-on, ultra-low-power neuromorphic gas-leak detection — with an operational dashboard and interactive 3D facility twin. Next.js 16 · React 19 · three.js. (Concept, simulated data — Intel AI Global Impact Festival 2026.)

A simple and robust gas and smell detection system using ML

Smart IoT Safety System: ESP32 & ESP8266 gas & water leak detector using MQTT. Monitors sensors, sends alerts, and triggers alarms in real-time. Perfect for learning IoT, MQTT, and embedded systems.

Détection embarquée de gaz toxiques avec alerte SMS ; 3 capteurs MQ, microcontrôleur PIC16F877A + Arduino, déploiement terrain

Detect time leaks in IT service workflows by analyzing ticket lifecycles, identifying bottlenecks, and estimating cost impact with interactive dashboards.

Arduino-based gas leakage detection system using an MQ-2 gas sensor with LED and buzzer alerts for real-time safety monitoring.

Proactive AI gas detection with ESP32, MQTT and live dashboard — ProtoForge AI 2026, Team NIRVANA

Prototipo IoT de detección de gases con Android, Kotlin, ESP32 y Firebase.

GasGuard is an IoT-based gas leak detection system that monitors LPG and combustible gases in real-time. Features include web dashboard, GPS location tracking, multi-level alerts, SMS notifications, and emergency contact management. Built with Raspberry Pi Zero 2 W, Node.js, and MQ sensors.

ESP8266-based Methane Gas Monitoring System with DHT11 sensor and Blynk IoT integration. Real-time alerts via buzzer and notifications for gas leakage.

Gas cylinder monitoring system

An ESP32-based Smart Environment Management System (SEMS) for intelligent lecture hall automation, featuring autonomous environmental control, occupancy detection, MQTT communication, and Node-RED remote monitoring.

🏫 An IoT-based smart classroom system using NodeMCU ESP8266, sensors, Flask, and machine learning to monitor environmental conditions and automate classroom lights and fans for smarter, energy-conscious classroom management.

Intelligent LPG gas leak detection system on ESP32 with ML-based early detection, OpenAI alerts, MQTT publishing, local web dashboard, Telegram notifications, and OTA updates

AIoT-based underground mine safety monitoring system with gas detection, thermal anomaly alerts, Telegram chatbot, and Metabase dashboard.

A dual-node Arduino system for real-time fire and smoke detection, featuring automated mechanical safety responses, a Python-based monitoring dashboard, and local SQLite data logging.