AirEase is a wearable device designed to manage palmar hyperhidrosis using Peltier Effect Cooling and multi-sensor integration. The device syncs with a mobile app to provide personalized cooling based on sensor inputs and AI-driven predictions.
- Global Wearable Cooling Market: $10.88B (2024), projected to reach $17.35B by 2030 (CAGR: 8%).
- Target Segments:
- Individuals with hyperhidrosis (~390M people).
- Athletes (~200M people).
- Professionals in high-stress jobs (~100M people).
- Total Addressable Market (TAM): ~690M potential users worldwide.
- Initial Focus: Hyperhidrosis patients & athletes.
- Expansion: Corporate wellness programs, healthcare applications.
- Distribution Strategy: E-commerce platforms, direct-to-consumer sales, and partnerships.
| Component | Cost (USD) |
|---|---|
| GSR Sensor | Rs.700 |
| LM35 Temperature Sensor | Rs.400 |
| Heart Rate Sensor | Rs.300 |
| Peltier Module | Rs.250 |
| Piezo Fan | Rs.1500 |
| Power Unit (Battery) | Rs.1200 |
| Micro-controller | Rs.700 |
| Casing & Assembly | Rs.1500 |
| Total Cost | Rs.6550 |
The AI model predicts when cooling should activate based on past sensor data trends. It utilizes:
- Machine Learning.
- Historical User Data & Sensor Inputs.
- Real-Time Monitoring.
AirEase syncs with Google Calendar to activate cooling during high-priority events.
- Extract event importance & time slots using Google Calendar API.
- Trigger AI model to preemptively cool based on upcoming tasks.
- Set airflow duration based on event length & stress level prediction.
AirEase provides haptic feedback vibrations for guided breathing: ✔ Slow vibrations when heart rate is high. ✔ Gentle pulsations to guide inhale/exhale cycles.
- Enable hands-free control of AirEase cooling settings via voice commands.
- Integrated speech recognition model to adjust airflow and settings.
- Personalized AI assistant to provide real-time feedback.
- Dynamic Command Recognition: The system does not rely on hardcoded commands but instead adapts to user speech patterns and preferences over time.
- Connects to weather APIs (OpenWeather, AccuWeather) to adjust cooling based on external temperature and humidity.
- Increases cooling on hot, humid days and optimizes power use in cooler weather.
- Suggests optimal times to pre-cool before stepping outdoors.
✅ Extension to an existing wearable device ✅ better user interface with increased functionality ✅ Multi-User Adaptability
- Khushi Mahesh – Founder, AirEase
- Khushi Bhupesh - Product Development
- Akshaya Krishna M - Tech Lead