OceoChat- AI- Powered Conversational Interface for Argo Ocean Data
DOI:
https://doi.org/10.47392/IRJASH.2026.017Keywords:
AI-Powered Chat Interface, Natural Language Querying, Voice-Enabled Systems, Google Gemini Pro, Hugging Face Models, Cloud-Based ArchitectureAbstract
OceoChat is an AI-powered conversational interface that revolutionizes access to ARGO ocean data, a repository exceeding 20 petabytes collected from 3000+ floats worldwide. Traditional portals are complex, English-only, and demand technical expertise, creating barriers for researchers, policymakers, and students. OceoChat’s objective is to simplify ocean data discovery and visualization through natural language queries in multiple Indian languages, with voice input/output for accessibility. The methodology integrates ARGO, NOAA, and satellite datasets with advanced AI models (Google Gemini Pro, Hugging Face) to process queries, validate data, and generate interactive visualizations such as maps, charts, heat maps, and 3D profiles. The system architecture leverages Next.js for frontend, Node.js/Express.js for backend, Sup a base for database, and cloud deployment via Vercel and Railway. Outcomes include a 70% reduction in data discovery time, on boarding of 500+ researchers and 2000+ students within six months, and integration into 50+ marine science curricula. OceoChat is positioned as a scalable, inclusive platform that accelerates research, supports education, and enables evidence-based policymaking for India’s coastal and climate challenges.
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.