FloatChat

AI Powered Conversational Interface for ARGO Data Discovery and Visualization

What's the Problem?
  • ARGO oceanographic data is stored in complex NetCDF files
  • Researchers spend hours writing SQL or dealing with command-line tools
  • Difficult for non-technical users to access geospatial ocean insights
What Does FloatChat Do?
  • Transforming ARGO NetCDF data into structured, queryable format (Postgres + PostGIS)
  • Allowing conversational queries → precise SQL + visualization
  •  Offering real-time interactive dashboards (trajectories, depth-time plots)
Key Features
carbon
thunderbolt
brick wall
settings

Profiles, trajectories, depth-time plots powered by Leaflet, Plotly, and Cesium

ChromaDB + FAISS-based semantic indexing makes search accurate and context-aware

Easily supports BGC floats, gliders, satellites. Scalable Postgres + vector DB schema

NetCDF → PostgreSQL + PostGIS → Indexed for easy access, fully automated.

Why It Matters
Faster insights → Saves hours of work
Democratizes ocean data access
Enables data-driven decision-making for climate action
Enables data-driven decision-making for climate action
Developed by BoyOhBuoy | SIH 25