IoT & Embedded System September 10, 2025

AI Powered Smart Diffuser Embedded System

As both CTO and lead Embedded System Engineer at Bee Multiscent, designed and built a cutting-edge smart scent diffuser holding up to 5 cartridges and dispensing 25 customizable scents — controllable via phone gesture, hand wave, or voice command, powered by ESP32, cloud AI, WiFi and Bluetooth, while also leading the web, mobile and AI development teams.

AI Powered Smart Diffuser Embedded System
Project Preview
Project Type
IoT & Embedded System
Completed
Sep 2025
Views
8
Read Time
4 min

A role that combined hardware engineering, embedded programming and technical leadership — serving as both CTO and lead Embedded System Engineer at Bee Multiscent for over a year. The flagship product is a smart AI-powered scent diffuser that holds up to 5 scent cartridges and dispenses up to 25 fully customizable scents — controlled by phone gesture, hand wave or voice command, and powered by ESP32 microcontrollers, cloud AI, WiFi and Bluetooth connectivity.

5
Scent Cartridges Supported
25
Customizable Scents
3
Control Methods
1.5
Years Engagement

The Product

Smart Multi-Scent Diffuser

A premium smart diffuser that holds up to 5 interchangeable scent cartridges and can blend and dispense up to 25 fully customizable scent combinations. Designed for both personal and commercial spaces — from homes and offices to hotels and luxury environments — it delivers a personalized aroma experience unlike any standard diffuser on the market.

Gesture and Motion Control

Users can switch scents by simply flipping their phone or waving their hand in front of the device. This gesture-based interaction was built into the embedded system using sensor logic programmed in C++ on the ESP32 — making the experience feel intuitive and futuristic without needing to open an app every time.

Voice Command Control

The diffuser responds to voice commands — allowing users to change scents, adjust intensity or activate specific modes entirely hands-free. Voice processing is handled through cloud AI, keeping the device lightweight while still delivering a responsive and seamless voice experience.

AI Scent Recommendations

The cloud AI engine learns user preferences over time and proactively recommends scents based on time of day, mood patterns and usage history — curating a truly personalized aroma environment. This makes the diffuser not just a device but an intelligent scent companion that adapts to the user.

Engineering Highlights

ESP32 Embedded Programming in C++

The entire embedded system was built on the ESP32 microcontroller and programmed in C++ — handling sensor logic for gesture detection, actuator management for cartridge dispensing, WiFi connectivity for cloud AI communication and Bluetooth for mobile app pairing. All of this runs reliably on a single embedded platform.

WiFi and Bluetooth Dual Connectivity

The device uses WiFi for cloud AI communication — sending usage data, receiving recommendations and processing voice commands — while Bluetooth handles local mobile app pairing for real-time control. Both protocols were implemented and managed simultaneously on the ESP32 without conflict.

Electronic Circuit Design

Designed the advanced electronic circuits for the diffuser — including sensor interfacing, actuator drivers for the cartridge dispensing mechanism and power management circuitry. Each circuit was designed to be compact, efficient and reliable enough for a consumer-grade product.

Mobile App UI Contribution

While the mobile app was built by a dedicated team, contributed directly to the UI design and user flow — ensuring the app interface aligned with how the hardware actually behaves. This cross-functional contribution helped bridge the gap between hardware capability and software experience, resulting in a more coherent product.

CTO Responsibilities

May 2025 – Sep 2025 · 5 months · Full-time

Technical Leadership and Team Management

Spearheaded the company's entire technological direction — overseeing Web, Mobile App and AI development teams. Responsible for setting engineering standards, reviewing technical decisions and ensuring all teams were aligned toward the product roadmap.

Strategic Planning and Documentation

Led technical strategic planning and product development documentation — translating business goals from executive level into concrete, scalable technical solutions. Produced technical specs, architecture documents and development roadmaps used across all teams.

Mentorship of Junior Engineers

Mentored junior engineers and interns across both technical and professional development — building a stronger internal team capable of executing the company's ambitious product vision independently.

Outcome

This engagement is one of the most advanced IoT and AI products worked on — a smart consumer device that merges embedded hardware, cloud AI, wireless communication and mobile app interaction into a single seamless experience. It demonstrates deep capability in ESP32 embedded development, electronic circuit design, C++ programming and technical leadership at CTO level — all within a fast-moving hardware startup environment. Visit the product at beemultiscents.com.

Technologies Used

ESP32
Main microcontroller for all embedded logic
💾
C++
Embedded firmware — sensors, actuators, wireless logic
📶
WiFi and Bluetooth (BLE)
Dual wireless connectivity for cloud and mobile app
🤖
Cloud AI
Scent recommendations, voice processing and user learning
🔌
Electronic Circuit Design
Custom circuits for sensors, actuators and power management
🎨
Figma
Mobile app UI design and user flow contribution
🌐
IoT Architecture
End-to-end device to cloud system design

Tech-Stack Used

Bluetooth C++ Django Embedded C++ Esp32 IoT PlatformIO PostgreSQL Python WiFi

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Project Details

Category IoT & Embedded System
Status Completed
Published Sep 10, 2025
Read Time 4 min

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