This repository contains NodeMCU application programs for ESP8266 devices running NodeMCU firmware

For ESP8266 NODEMCU 12 E. This android app makes you control your ESP projects like RC car or any IOT applications using your mobile phone thru WIFI. (click readme.md for more info)

A platform to serve as a base for nodemcu-firmware Lua applications

This is a College project app, Project name : Smart car parking Station with Mobile application in this project we make a station where when any car came in parking slot then sensor will send data to the nodemcu and Nodemcu will send data to firebase and you can see live update of parking system int his app

The main purpose of this application is to connect esp8266 nodemcu lolin from android device.

This code should show how to control several GoPros with a NodeMCU V1.0 (ESP-12E). It is designed for my purposes on four cameras and using with a VB.net Windows Forms Application.

Proposed system consists of a microcontroller (Arduino), a NodeMCU, a Raspberry Pi, a heartbeat sensor, a temperature sensor and a high definition camera for blood group detection purpose. In our proposed framework, the heartrate and body temperature are automatically sensed, the readings are recorded continuously. Finally, after processing the collected data, these data are sent to the server through the existing Local Area Network. The doctors can check the health condition parameter through a web application. This framework can also detect the blood group from the blood sample by using the image processing algorithm.

This is article is GPS Tracker module using GY-NEO6MV2 NEO-6M GPS Module to scan Location and then nodeMCU will send data to Firebase for the map using Google MAP API and shown in the Web application.

Design of real time IOT based delivery bot Delivery companies and new start ups are investing in technologies that reduce reduce delivery time . It is possible with delivery bots so we proposed a new model of delivery bot controlling with an android application. We used node mcu , rechargeable battery, wheels,motor driver(L298_Hbridge),motors and an android app blynk for making this bot Wooden architecture for bot chassis. For connecting the node mcu with blynk app using cloud we need to give the inputs like API key ,wifi name, SSID (service set identifier). This API key is generated from blynk app only people having this API key can control the bot after connecting with wifi . Simply,we are giving instructions in blynk then it connects with cloud and give this data to nodemcu and the bot will move accordingly.

V3.0 - Using NodeMCU ESP8266 for controlling switches (Relay). Uses RTC (Real Time Clock - DS3231) and NTP (Network Time Protocol) for maintaining time. OLED Display (128x64) for instant updates. A webserver for Manual Controls. Vast application including Aquariums and IOT related.

Using NodeMCU ESP8266 for controlling switches (Relay). Uses RTC (Real Time Clock - DS3231) and NTP (Network Time Protocol) for maintaining time. OLED Display (128x64) for instant updates. A webserver for Manual Controls. Vast application including Aquariums and IOT related.

Home Automation & Energy Saver Device . This include Nodemcu Full Code , Website Installation Files and Android Application

🚘 A web application that can control NodeMCU - Car via WiFi and stream live footage with IP cam

A Node.JS application for controlling and programming LED Lights connected to a NodeMCU WiFi chipset.

This Repo is a WPF application for facial recognition and fingerprint scanning. This app integrates with a NodeMcu (ESP8266) to capture fingerprint data and sends it to an API for authorization.

connect nodemcu to android application

IdClientApp connects a delphi based client application to a nodeMCU 1.0 borad which acts as a internet server

Using the MQTT protocol, simple nodemcu temperature and humidity application.(DHT22)

This project is an IoT application that uses NodeMCU and a motion sensor to detect motion and send notifications to the user through a Discord bot

The source code of a mobile application that is part of an intelligent system, allowing the user to communicate with their mailbox and receive real-time information about it using Flutter and Firebase, and NodeMCU C++ for the hardware

AlBrain is an IOT project , permits to family members to control their relatives with alzheimer disease by making reminders from distance (for medecine, lunch time,daily events..)via mobile application (android). The patient will recieve the reminder by smart bracelet connected to wifi (with nodemcu board) , the subject is displayed on lcd screen , followed by buzzer tone. When the patient clicks on button , their relatives using THE mobile app Albrain will be noted that he received the reminder . using plateform "Firebase" ( real_time_dtabase ).

Nowadays, many projects are developed and implemented in the field of Internet of Things. Life has become smarter with developed projects. One of these projects is the Smart Greenhouse project used in agriculture. The Smart Greenhouse Project aim to being helpful to the user in the field of agriculture. The user can see the necessary data in the environment where the greenhouse is located and can remotely control the operations to be performed. In the Smart Greenhouse Project, mobile and web interfaces have been developed for the user to follow and control the status of the environment. NodeMCU Lolin Esp8266 Wifi Development Card was used as the card to access this data to the user, and the relevant sensor, pump, motor and connection tools were also used. Blynk application was preferred in the mobile part.

Simple flask application for driving two wheeled robots based on NodeMCU motor shield

NodeMCU based PM2.5 monitoring application

A collection of applications for the Wemos D1 Mini running NodeMcu.

A web application to control NodeMCU based switches over the internet.

Android application to control home appliances through adafruit.io with nodeMCU

Reading ADC of NodeMCU and sending data to QT Application over UDP

This application comprises multiple components: - NodeMCU client: runs MicroPython, reads air tempeature, pressure, humidity from BME680 and sends the readings via SocketIO to Flask server - Browser client: connects to Flask server, and receives the real time measurement data to be plotted in browser using Chart.js and Google charts - Flask server: uses Flask-SocketIO for receiving data from NodeMCU and sends data to conected browser clients

IoT Based Application to monitor Farms Making with React Native , TypeScript , Redux , Circle CI, NodeMCU.