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Completed Project

Smart Home
Automation Hub

A centralized IoT platform that unifies smart devices into a single intelligent ecosystem. Built with multi-protocol support and adaptive automation for modern living.

Explore Features Request Similar

Protocols

IoT Sensors

35%

Energy Saved

Weeks to Build

System Architecture

Sensor Layer

Temperature, humidity, motion, light sensors collecting real-time data

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

Seamless communication across Zigbee, Z-Wave, Wi-Fi, and Bluetooth LE protocols for universal smart device compatibility.

Real-Time Monitoring

Live environmental dashboards with historical trend analysis for temperature, humidity, air quality, and occupancy.

Adaptive Automation

ML-driven engine that learns daily routines and automatically adjusts lighting, climate, and security systems.

Energy Optimization

Predictive scheduling and intelligent load balancing reduce household energy consumption by up to 35%.

Security & Privacy

AES-256 end-to-end encryption with full audit logging and local-first data processing for maximum privacy.

Scalable Design

Modular architecture supports up to 200 devices with plug-and-play sensor expansion and OTA firmware updates.

Central Hub Unit - Custom PCB Design

Sensor Modules

Integration Testing

Development Process

Requirements & Research

Analyzed target protocols, sensor specifications, and user experience requirements for residential automation.

Hardware Design

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

Firmware Development

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

Dashboard & ML Integration

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

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

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Whether you need a custom IoT system, automation hub, or embedded solution, our team delivers precision-engineered results.

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