EnviroCopilot combines real‑time Copernicus satellite imagery and local sensor feeds with a user’s medical sensitivity profile to calculate personalized environmental risk scores for air quality, UV, pollen, heat and flood hazards. The platform delivers condition‑specific push alerts, an on‑device AI assistant with mitigation guidance, offline data caching, and a peer‑to‑peer SOS network, all within a GDPR‑compliant mobile and web app.
Funding
Funding not disclosed
Founders
Product
Problem
People with health sensitivities such as asthma, allergies, or UV‑related conditions receive generic environmental information that is often technical, fragmented, and not tied to their specific medical profile, making it difficult to assess real‑time risk and take preventive actions.
Solution
EnviroCopilot aggregates real‑time Copernicus satellite data and local sensor feeds, then cross‑references these inputs with a user‑provided health profile to generate individualized risk scores. The platform delivers push notifications for air‑quality, UV, pollen, heat, and flood events that are calibrated to each user’s sensitivities. An on‑device AI health assistant explains alerts, suggests mitigation steps, and offers product recommendations such as HEPA masks or cooling devices. Offline caching ensures critical data remains accessible during power or connectivity outages, while a peer network lets users share SOS messages and local tips. All data handling complies with EU privacy regulations, and the service is delivered through a mobile app and web dashboard.
Target Audience
The primary users are European individuals with health sensitivities—such as asthma, allergic rhinitis, or UV‑triggered skin conditions—who need personalized environmental risk management, as well as healthcare providers who recommend proactive exposure mitigation.
Features
- Continuous ingestion of Copernicus satellite imagery and ground‑level sensor data for air quality, UV index, pollen counts, temperature, and flood risk
- Personal health profile engine that maps medical sensitivities (e.g., asthma, eczema, allergy types) to environmental variables
- AI‑driven risk scoring algorithm that produces a daily personalized environmental risk score and prioritizes alerts
- Push‑notification system with condition‑specific thresholds and actionable guidance
- Offline mode with locally stored critical data for use during emergencies such as wildfires or blackouts
- Conversational AI health assistant that interprets alerts, answers user queries, and recommends mitigation strategies
- Symptom‑tracking module that logs user‑reported health events and correlates them with exposure data to identify patterns
- Peer‑to‑peer network for real‑time SOS messaging and community tips within geographic proximity
- Curated product recommendation engine that suggests items like N95 masks, air purifiers, or cooling devices based on forecasted conditions
- End‑to‑end encryption and GDPR‑compliant data storage with user‑controlled privacy settings