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Houston, TX, USA
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Completed Project

Smart Home
Automation Hub

A central IoT platform that connects your smart devices and lets them work together. It supports several wireless protocols and learns your daily habits to automate the home.

Smart Home Automation Hub
4
Protocols
12
IoT Sensors
35%
Energy Saved
12
Weeks to Build

System Architecture

Sensor Layer

Temperature, humidity, motion, and light sensors collect data in real time

Processing Hub

ESP32 + Raspberry Pi 4 running MQTT broker and automation engine

Intelligence

TensorFlow Lite ML models for behavior prediction and automation

User Interface

React.js dashboard with encrypted remote access via web and mobile

Core Capabilities

Multi-Protocol Gateway

Talks to devices over Zigbee, Z-Wave, Wi-Fi, and Bluetooth LE, so almost any smart product can join the system.

Real-Time Monitoring

Live dashboards track temperature, humidity, air quality, and occupancy, and you can review past trends over time.

Adaptive Automation

A machine learning engine learns your daily routines and adjusts lighting, climate, and security on its own.

Energy Optimization

Smart scheduling and load balancing cut household energy use by up to 35%.

Security & Privacy

AES-256 end-to-end encryption, full audit logs, and local-first processing keep your data private at home.

Scalable Design

The modular design handles up to 200 devices, with plug-and-play sensors and over-the-air firmware updates.

Hub main unit
Central Hub Unit - Custom PCB Design
Sensor modules
Sensor Modules
Integration testing
Integration Testing

Development Process

01
Requirements & Research

We reviewed the target protocols, sensor specs, and user needs for home automation.

02
Hardware Design

Custom PCB layout in KiCad with ESP32 and Raspberry Pi integration, power management, and antenna design.

03
Firmware Development

Embedded C and Python firmware for multi-protocol communication, MQTT messaging, and sensor data acquisition.

04
Dashboard & ML Integration

React.js frontend with real-time data visualization and TensorFlow Lite models for behavior prediction.

05
Testing & Deployment

Full integration testing, security auditing, and deployment in a live residential environment.

Project Results

Energy Reduction 35%
Device Compatibility 95%
System Uptime 99.7%
Response Latency < 50ms
Automation Accuracy 92%
Tech Stack
ESP32 Raspberry Pi 4 Zigbee 3.0 Z-Wave MQTT Node-RED Python React.js PostgreSQL Docker TensorFlow Lite KiCad

Ready to Build Your Smart Solution?

Need a custom IoT system, an automation hub, or an embedded device? Our team designs and builds it to spec.