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Project Hub /Security Surveillance & Defense/Smart Door Lock (Keypad/App/OTP)/Smart Home Solution
Smart Home Solution
Intermediate
ESP8266
Project Specific
3 – 6 Hours
Partial Kit

Smart Home Solution

An IoT-powered smart home automation system controlled by Android voice commands utilizing AI speech detection and an MQTT server.

Originally published on ElectronicsForU
View original tutorial

Parts You'll Need

This project is sourced from another site, not written by us — this list is our best match of their components against what we stock, not a verified bill of materials. Always check the original blog (linked above) for the actual parts list before buying.

We don't carry yet: DHT temperature

Browse all components

How It Works

Why Build This

Design and deploy a full-stack IoT architecture that bridges cloud infrastructure, microcontroller hardware, and a native Android mobile application.
Implement real-world home automation routines by interfacing low-voltage digital microcontrollers with relay modules for appliance control and environmental sensors for ambient tracking.
Gain practical experience with modern communication protocols like MQTT and cloud server deployment suitable for undergraduate engineering portfolios.

Real-World Application

Voice-controlled smart home appliances, remote energy monitoring, and automated home lighting and fan control systems.

Skills You'll Learn

Microcontroller Wi-Fi connectivity
MQTT protocol implementation
Android app development
Sensor data acquisition
Relay module interfacing
Cloud server communication

Safety Precautions

Exercise caution when working with mains voltage relays and high-voltage AC circuits. Ensure proper electrical isolation before connecting appliances like fans or water pumps.

Technology Tags

IOT
AI
ANDROID
CLOUD COMPUTING
MQTT
ARDUINO
PYTHON
JAVA
TFLITE

Frequently Asked Questions

The project specifically relies on an Android application built in Android Studio using Java and Android SDK 26, so an iOS device would not be natively compatible without rewriting the mobile app.
The Google Cloud VM hosts the MQTT broker or server components running JavaScript, acting as the centralized messaging hub that relays data between your Android phone and the NodeMCU board.
Python is primarily used if you leverage Google Colab for AI speech detection components, while the NodeMCU is programmed via the Arduino IDE using C/C++ libraries like PubSubClient and Adafruit DHT.

Gallery

This page is part of Kitkraft's Project Hub — a curated collection of electronics & robotics projects gathered from the maker community to help students and hobbyists discover and learn to build. Kitkraft does not claim authorship of the original project, and makes no representation as to the accuracy, completeness or safety of third-party source material. The summary and "How It Works" explanation above are AI-generated, rewritten with reference to the original tutorial — not a reproduction of it. Full credit and a direct link to the original source are provided above. If you're the original creator and have a concern about how your work is represented here, please contact us and we'll address it promptly.

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PRJ-00333