Nova | Devpost

Inspiration

Ozone depletion is not just an environmental issue—it’s a global crisis affecting health, ecosystems, and climate stability. With rising UV radiation levels and their long-term consequences, we wanted to explore how data can be used to understand, predict, and mitigate ozone layer depletion.

Project NOVA was born from the idea that data-driven insights can drive real-world impact. Our goal is to simplify complex ozone data, making it accessible, actionable, and scalable for future climate resilience.

What it does

Currently, Project NOVA focuses on analyzing historical ozone data to identify trends and assess their impact on:

Public Health – UV exposure risks, skin cancer, cataracts. Agriculture – Impact on crop yields and food security. Marine Life – Disruptions to aquatic ecosystems. Climate Policy – Data-driven environmental decision-making. The long-term vision is to build a real-time ozone monitoring system using satellite data, AI, and ground sensors to provide localized ozone insights and predictive analytics.

How we built it

Data Analysis: We used historical ozone datasets from sources like NASA and climate research institutions. Visualization: Built interactive graphs using Python (Pandas, Matplotlib, Plotly) to showcase ozone depletion trends. Impact Assessment: Researched and integrated ozone depletion effects on health, ecosystems, and climate.

Challenges we ran into

Data Complexity: Processing large-scale climate datasets efficiently. Scientific Interpretation: Translating raw data into clear, actionable insights. Balancing Scope: Presenting a visionary long-term project while focusing on previous data analysis for this phase.

Accomplishments that we're proud of

Successfully analyzed and visualized ozone depletion trends. Developed a structured roadmap for future real-time monitoring. Created a compelling, data-driven narrative that highlights the urgency of ozone conservation.

What we learned

🔹 The deep interconnection between ozone depletion, climate change, and human health. 🔹 How to work with climate datasets and extract meaningful insights. 🔹 The power of data storytelling in making complex scientific issues more understandable.

What's next for Nova

Phase 2: Real-Time Ozone Monitoring – Integrate satellite data and AI-driven models for predictive analysis. Ground Sensors & IoT – Incorporate on-ground ozone sensors for hyper-local data collection. Public Dashboard & Alerts – Develop an interactive platform where users can check real-time ozone levels in their region. Global Collaboration – Partner with climate organizations, policymakers, and researchers to expand NOVA’s impact.