Luna - Smart Health Recommendations Platform

Luna - Smart Health Recommendations Platform
Luna - Smart Health Recommendations Platform
Luna - Smart Health Recommendations Platform

2nd Place Winner | 9th CASSINI Hackathon Germany 2025

Project Overview

Luna is an innovative health application that bridges space technology with personalized wellness by leveraging satellite data to provide intelligent daily health recommendations. The project emerged from the 9th CASSINI Hackathon, a prestigious European Space Agency initiative that challenges participants to develop innovative solutions using satellite data for societal benefits.

Technical Innovation

Our solution integrates Copernicus Sentinel-5p satellite data through the CAMS (Copernicus Atmosphere Monitoring Service) dataset to analyze real-time atmospheric conditions. By correlating this environmental data with WHO health statistics, Luna identifies relationships between specific air pollutants and various health conditions.

Key Features

  • Real-time Environmental Analysis: Processes satellite-derived air quality data to assess daily atmospheric conditions
  • Personalized Health Insights: Delivers customized recommendations for outdoor activities based on individual health profiles and current air quality
  • Adaptive Learning: Collects user health data to continuously improve recommendation accuracy
  • Preventive Healthcare Focus: Empowers users to make informed decisions about daily activities to minimize health risks

Problem Solved

Air pollution contributes to millions of premature deaths globally and exacerbates various health conditions. Luna addresses this challenge by making satellite-monitored environmental data accessible and actionable for everyday health decisions, enabling users to optimize their outdoor activities while protecting their wellbeing.

Technical Stack

  • Data Source: Copernicus Sentinel-5p CAMS dataset
  • Health Analytics: WHO health statistics integration
  • Platform: Mobile application with real-time data processing
  • Machine Learning: Correlation analysis and predictive recommendations

Achievement

Secured 2nd place among competitive teams at the 9th CASSINI Hackathon in Senftenberg, Germany, demonstrating the project's innovation potential and practical application in the space-for-health sector.

Team Collaboration

Led team formation and coordination for this interdisciplinary project, bringing together diverse expertise to transform satellite data into meaningful health solutions within a 72-hour development sprint.

CASSINI Hackathons are flagship events organized by the European Union Agency for the Space Programme (EUSPA) and the European Commission, focusing on developing innovative applications using EU space data and services for societal challenges.

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