Detectition Jellyfish

Inspiration: Informing people using real-time data science and oceanographic monitoring.

What it does: Analyzes marine variables via Open-Meteo to calculate jellyfish risk for 12 coastal locations.

How we built it: Python-driven data engine, InfluxDB for time-series storage, and a Grafana dashboard.

Challenges we ran into: Syncing GPS coordinates via Flux queries and automating background scripts on EndeavourOS.

Accomplishments that we're proud of: Deploying a live dashboard with dynamic maps and climate synced iconography.

What we learned: Mastering time-series data management, API processing, and Linux terminal deployment.

What's next for Detection Jellyfish: Implementing it in more places.

Built With

• grafana
• influxdb
• python