RespiGuard AI
AI-powered respiratory risk guidance from real-time air quality data in Dubai.
RespiGuard AI transforms complex PM2.5 air quality data from open scientific APIs into meaningful, personalized health guidance for children, adults, elderly, and asthma patients. Know when it's safe to go outside.
Built by Suleiman Khan, TKS Innovator – High school AI & robotics student in Dubai.
Try RespiGuard AI
Select your profile and get personalized air quality guidance for Dubai—right here, right now.
RespiGuard AI
Powered by Open-Meteo Air Quality API
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Why Respiratory Risk Intelligence Matters
Air pollution and PM2.5 particles are invisible but dangerous. Dubai and many global cities frequently cross WHO safety thresholds. Children, elderly, and people with respiratory conditions are especially vulnerable—yet most people have no idea when it's safe to be outside.
Parents & Children
Children's developing lungs are more susceptible to pollution damage. Parents need to know the safest times for outdoor play and school activities.
Elderly People
Older adults face higher risks from air pollution exposure. Timing walks and outdoor activities around air quality can prevent health complications.
Asthma & Respiratory Patients
For those with asthma or COPD, high PM2.5 levels can trigger attacks. Real-time guidance helps manage exposure and reduce emergency visits.
Athletes & Outdoor Workers
Heavy breathing during exercise increases pollution intake. Knowing optimal times for training protects long-term respiratory health.
How RespiGuard AI Works
A four-step pipeline that transforms raw air quality data into actionable health guidance.
Collect Live Data
Pull real-time PM2.5 forecasts for Dubai from the Open-Meteo Air Quality API—a trusted, open scientific data source updated hourly.
Segment by Time of Day
Group air quality readings into meaningful time windows: Night, Morning, Afternoon, and Evening—matching how people actually plan their day.
Profile-Aware Risk Scoring
Apply different risk thresholds for children, adults, elderly, and asthma patients. The same PM2.5 level means different things for different people.
Generate Recommendations
Transform numbers into human advice: "Best time to play outside," "Limit outdoor activity," or "Stay indoors if possible."
🌏 Currently piloting in Dubai — but the approach can scale to any city worldwide and integrate additional data sources like NASA POWER satellite data in the future.
Features That Set RespiGuard Apart
Built with real users in mind—not just data scientists.
Profile-Aware Health Guidance
Different recommendations for children, adults, elderly, and asthma patients based on medical research on vulnerability levels.
Hourly & Time-of-Day View
Not just one daily number—see how risk changes across morning, afternoon, and evening to plan your activities.
Actionable Recommendations
Instead of "PM2.5 = 51 µg/m³", get "Avoid extended outdoor play for children this evening."
Built on Open Scientific APIs
Uses Open-Meteo's trusted air quality data, designed to integrate with NASA POWER and other scientific datasets.
Deployable & Real
Running live on Hugging Face Spaces using Python + Gradio. Not a mockup—a working prototype you can use today.
Accessible Interface
Simple, clean UI that anyone can understand—no technical background required to get health guidance.
Example Output
A preview of the intelligence RespiGuard AI provides—real-time data transformed into guidance.
Dubai Air Quality Forecast — Children Profile
| Time | Time Block | PM2.5 | Risk Level | Recommendation |
|---|---|---|---|---|
| 2025-12-02 06:00 | 🌅 Morning | 18.5 µg/m³ | Low | Good time for outdoor activities and morning walks. |
| 2025-12-02 12:00 | ☀️ Afternoon | 35.2 µg/m³ | Moderate | Limit prolonged outdoor exertion. Short activities are okay. |
| 2025-12-02 18:00 | 🌆 Evening | 52.8 µg/m³ | High | Avoid outdoor play if possible. Keep windows closed. |
| 2025-12-02 22:00 | 🌙 Night | 41.3 µg/m³ | Moderate | Air quality improving. Ventilate home during cooler hours. |
For Developers & Technical Reviewers
Built with modern, open-source tools—designed for scalability and future ML integration.
# RespiGuard AI Tech Stack
backend: Python 3.11+
framework: Gradio (Interactive UI)
data_source: Open-Meteo Air Quality API
deployment: Hugging Face Spaces
location: Dubai, UAE (Pilot City)
# Core Features
profiles: [child, adult, elderly, asthma]
time_blocks: [night, morning, afternoon, evening]
metrics: PM2.5 (µg/m³)
# Data Flow
api_call → segment_time → score_risk → recommend🗺️ Future Roadmap
NASA POWER Integration
Add satellite-based atmospheric data for enhanced accuracy and broader geographic coverage.
ML Forecast Models
Train predictive models to forecast air quality 24-48 hours ahead for better planning.
Multi-City Expansion
Extend coverage beyond Dubai to major cities worldwide with localized recommendations.
Mobile App
Native mobile application with push notifications for high-risk air quality alerts.
How We Compare
See how RespiGuard AI stands out from existing air quality apps.
| Feature / Approach | IQAir AirVisual | Plume Labs | Airly | RespiGuard AI (Yours) |
|---|---|---|---|---|
| Personalization by age/health | ✕ | ✕ | ✕ | ✓ CHILD / ELDERLY / ASTHMA / ADULT |
| Time-of-day risk analysis | ✕ | ✕ | ✕ | ✓ Morning / Afternoon / Evening breakdown |
| Actionable medical-style advice | ✕ basic | ✕ | ✕ basic | ✓ Detailed recommendations |
| AI-based reasoning | ✕ | ✕ | ✕ | ✓ Risk intelligence engine |
| Open-source + transparent | ✕ | ✕ | ✕ | ✓ 100% open, transparent logic |
| Uses scientific APIs (Open-Meteo, NASA) | ✕ | ✕ | ✕ | ✓ Yes |
| Designed for sensitive groups | ✕ | ✕ | ✕ | ✓ Yes |
| Tuned for Dubai/UAE | ✕ | ✕ | ✕ | ✓ Hyperlocal |
| Built by a student innovator | ✕ | ✕ | ✕ | ✓ Powerful narrative |
Your idea isn't "another AQ app."
It's a Personalized Respiratory Safety AI.
About the Builder
Suleiman Khan
TKS Innovator | High School Student | Dubai
RespiGuard AI is built by Suleiman Khan, a high school student and TKS Innovator based in Dubai. Passionate about AI, robotics, and solving real-world problems in health and sustainability, Suleiman created this project to make air quality data accessible and actionable for everyone—especially vulnerable populations.