Executive Summary
Early disease detection and personalized wellness monitoring are critical for improving healthcare outcomes. Traditional diagnostic methods often require invasive procedures, costly lab tests, and significant wait times.
Dotcom’s AI-enabled solution “Breathalyzer” revolutionizes this process with AI-driven breath analysis—a portable device that captures key biomarkers from your breath, transmits data securely to the cloud, and leverages advanced machine learning to provide real-time health insights. This innovation bridges the gap between preventive care and accessible diagnostics, making personalized healthcare simple, fast, and non-invasive.
The Challenge: Making Health Monitoring Accessible
- The healthcare and wellness sectors are increasingly focused on preventive care, yet current solutions often fall short in providing daily, actionable insights. Many conditions go undetected until they reach advanced stages because people lack convenient ways to monitor their health consistently.
- Traditional diagnostic tools, while accurate, are often invasive, requiring blood samples or specialized equipment operated by trained professionals. This limits their use for everyday wellness tracking and early detection. Additionally, many devices are bulky, expensive, and not portable, making them impractical for personal or home use.
- Even when monitoring is possible, there is a lack of real-time, continuous data, preventing timely interventions and proactive health management.
This created a clear need for a compact, non-invasive, and affordable device that could provide continuous health insights using something as simple and accessible as a person’s breath—enabling individuals to take control of their wellness anytime, anywhere.
The Solution: How Breathalyzer Transforms Breath Into Health Insights
Breathalyzer is the world’s first handheld AI-powered breathalyzer designed for predictive healthcare. It uses sensor fusion technology to capture multiple parameters, including:
- Breath biomarkers (VOC gases like methane, ethanol, formaldehyde)
- Vital signs (heart rate, SPO₂, body temperature)
- Environmental conditions (humidity, air pressure, motion)
This rich dataset is processed in the cloud, where machine learning algorithms analyze patterns to identify early health risks. Users receive actionable insights on a mobile application, making Breathalyzer an indispensable tool for preventive care, telemedicine, and personal wellness.
How it Works?
The system follows a streamlined workflow:
- Connect – Pair the Breathalyzer device with your smartphone via BLE.
- Collect – Exhale into the device using a PFT filter for accurate sampling.
- Predict & Monitor – Results displayed on the mobile app with historical tracking.
- Analyze – Data securely transmitted to the cloud for ML-based inference.
Key Takeaways
Transforms health monitoring from reactive to predictive, portable, and non-invasive.
Detects anomalies early through breath and vital signs analysis.
Provides continuous real-time data for proactive wellness management.
Designed for user-friendliness, portability, and environmental durability.
Scalable for future integration with telemedicine, IoT health systems, and remote diagnostics.
Why Choose Breathalyzer by Dotcom IoT LLP
Proven Engineering Expertise: Custom multi-sensor integration with compact, efficient design.
Predictive Analytics: Machine learning-based insights for proactive health management.
User-Friendly: Simplified operation for both individuals and clinics.
Future-Ready: OTA-enabled updates and scalable platform.
Trusted Support: Dotcom provides IoT, hardware, and software expertise for reliable device performance.
System Flow of Breathalyzer:
- The processor is Powered by a 32-bit ARM Cortex-M4 MCU for efficient device control and data handling.
- Storage is Equipped with 256 Mb onboard memory for sensor data management.
- Power is Runs on a Li-ion 3.7V/3400 mAh battery, providing up to 11 hours of continuous use.
- Connectivity Supports BLE 5.2 for wireless pairing and USB Type-C for charging and debugging.Environmental Sensors can measure temperature (−40°C to 85°C), humidity (0–100% RH), and air pressure (300–1100 hPa).
- Vital Sign Monitoring to track body temperature, heart rate, and SPO₂ in real time.
- Gas Detection is able to detect methane, propane, carbon monoxide, ammonia, hydrogen sulfide, alcohols, and VOC gases.
- The Motion Tracking includes an accelerometer and gyroscope for detecting movement and device orientation.
Cloud Layer:
Data Handling:
- Real-time streaming via encrypted channels
- Preprocessing for noise filtering & normalization
ML Enginen:
- Cloud-hosted AI models for health prediction
- Model retraining pipelines for continuous improvement
API Services:
- RESTful APIs for app integration
- Secure authentication and session management
Why Choose Cloud Based AI ?
The device MCU is optimized for sensing and lightweight processing but does not support running deep learning models efficiently. Offloading inference to the cloud ensures:
- Scalability: Centralized model updates.
High Accuracy: Ability to deploy complex neural networks without hardware limitations.
Continuous Learning: Models retrained on anonymized aggregated data.
Work Flow:
- Sensor data → Mobile app → Encrypted cloud transmission.
- Preprocessing (e.g., calibration, normalization).
- AI model predicts: Respiratory health indicators. Possible metabolic conditions (e.g., diabetes markers from VOCs).
- Prediction results sent back to the app dashboard.
Application & Use Case:
- Personal Health Monitoring: Enables daily health checks and early detection of potential health risks.
- Telemedicine & Remote Consultation: Provides doctors with real-time patient data during virtual consultations.
- Chronic Disease Management: Monitors long-term patterns for respiratory and metabolic disorders.
- Corporate Wellness: Facilitates preventive health screening programs in workplace environments.
Result and Benefits:
|
Feature |
|
AI-Powered
Breath Analysis |
|
Real-Time
Health Insights |
|
Comprehensive
Sensor Suite |
|
Seamless
Connectivity |
|
OTA
Updates |
|
User-Friendly
Design |
|
Portable
and Durable |
|
Scalable
Cloud Platform |
Security & Compliance:
- End-to-End Encryption for BLE and cloud communication.
- User Data Privacy aligned with GDPR.
- Firmware & OTA Security using signed binaries.
- Device Authentication to prevent unauthorized pairing.
Key Features:
- Cloud-Based AI Health Prediction: Real-time ML inference ensures high accuracy and model scalability.
- Multi-Sensor Integration: VOC sensors for gas analysis, SPO₂ & HRM optical sensors, environmental MEMS sensors.
- OTA Updates: Seamless firmware upgrades and model enhancements via the app.
- Portable & User-Friendly Design: Compact (146×46×54 mm), lightweight, and easy to operate.
- Connectivity: BLE 5.2 and USB Type-C for power and debugging.
- Extended Battery Life: Up to 11 hours of continuous use.
Future Scope:
- Integration with EHR Systems for hospital networks.
- Predictive Analytics Dashboards for healthcare providers.
- Edge ML Capability for offline predictions in future hardware revisions.
- Expanded Dataset for Disease Prediction (e.g., lung cancer, COPD indicators).
“Start Hacking Your Breath – Predictive Healthcare in the Palm of Your Hand”
