Research-backed smoking cessation ecosystem

SmartQuit

A complete product experience combining the SmartQuit Band, BreatheFree companion app, and multimodal AI detection to support cravings in real time.

90%+ event detection accuracy

10 evidence-based interventions

3-way user, family & consultant insights

Explore the Research Get the App

SmartQuit compact wearable prototype generated from our circuit design — Prototype concept generated from our real circuit design and AI optimization to fit a compact wearable form factor.

SmartQuit Band

MQ9 + MPU6050 + ESP32

Gesture + smoke fusion
On-device ML inference
Low-power BLE sync

BreatheFree App

Context-aware intervention engine

Panic mode support
Mood and trigger journaling
Progress dashboards

Live craving response

Secure BLE handoff

The Challenge

Smoking addiction affects millions globally. Traditional cessation methods often fail due to lack of real-time intervention and objective tracking.

Manual Tracking Fails

Self-reporting is unreliable and creates cognitive burden during vulnerable moments

Family Disconnect

Loved ones want to help but lack visibility into smoking patterns and progress

Limited Consultant Tools

Rehab consultants need objective data to provide personalized guidance and track client outcomes

The SmartQuit Ecosystem

A complete smoking cessation package combining hardware and software for users, families, and consultants

SmartQuit Band

Wearable watch with ESP32 microcontroller, MQ9 gas sensor (smoke detection), and MPU6050 IMU (gesture recognition). Runs ML models on-device for real-time smoking event detection with 90%+ accuracy.

BreatheFree App

Flutter-based companion app with 10 evidence-based interventions, real-time progress tracking, and pattern analysis. Connects via BLE for seamless data sync.

Multimodal Analysis

Fuses motion data (MPU6050), gas sensor readings (MQ9), and behavioral inputs to create comprehensive smoking profiles using edge AI inference.

How SmartQuit Helps Someone Quit

The band detects risky moments, the app delivers immediate support, and progress insights build confidence against addiction over time.

What the SmartQuit Band Does

The wearable continuously reads motion patterns (MPU6050) and smoke signatures (MQ9). It recognizes likely smoking behavior in real time instead of relying on manual self-reporting.

AI Decision on the Device

An on-device ML model fuses both signals and detects smoking events with a confidence score. This allows fast, private, low-latency detection without cloud dependency.

What the BreatheFree App Does

The app receives secure BLE alerts and immediately responds with evidence-based interventions like breathing, mindfulness, journaling, and urge-management tools.

How This Supports Addiction Recovery

Users receive help exactly when cravings happen, build awareness of their triggers, and track progress across days and weeks. With consent, family and consultants can support the recovery plan using objective insights.

System Components

Hardware and software architecture of the SmartQuit ecosystem

ESP32 Controller

Dual-core processor with BLE for low-power wearable operation

MQ9 Gas Sensor

Detects CO and combustible gases from cigarette smoke

MPU6050 IMU

6-axis motion tracking for gesture pattern recognition

ML Model

Edge Impulse-trained neural network running on ESP32

Panic Button

Instant intervention access in BreatheFree app

10 Interventions

Breathing, games, mindfulness, sketching techniques

Analytics Dashboard

Multi-user access for patients, families, consultants

Privacy-First Design

Local SQLite storage, encrypted BLE, consent-based sharing

SmartQuit Research Project

This is an open research project designed for smoking cessation support. Ideal for individuals trying to quit, family members providing support, and consultants guiding rehab programs.

Download BreatheFree App

Hardware specs: ESP32 + MQ9 + MPU6050 | Software: Flutter + ML