MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202621045519 A) filed by Ayush Malsatar; Amit Patait; Tanmay Patil; and Sohail Shaikh on April 09, 2026, for Ai Driven Unified Data Platform For Oceanographic, Fisheries And Molecular Biodiversity Insights..
Inventors include Ayush Malsatar; Amit Patait; Tanmay Patil; and Sohail Shaikh.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The AI-Driven Unified Data Platform is an Artificial Intelligence (AI) and Machine Learning (ML)-based system designed to integrate, manage, and analyze heterogeneous marine datasets for enhanced oceanographic and biodiversity insights. The platform enables the collection and ingestion of data from multiple sources, including oceanographic sensors, fisheries surveys, taxonomic records, otolith morphology data, and molecular biology datasets such as environmental DNA (eDNA) through a unified and user-friendly interface. The collected data is processed using data preprocessing techniques, including data cleaning, normalization, transformation, and metadata tagging, to ensure consistency and interoperability across diverse data formats. The processed data is analyzed using advanced machine learning algorithms to identify patterns, correlations, and trends across multidisciplinary datasets. The system supports applications such as species identification, biodiversity assessment, anomaly detection, and predictive modeling to understand marine ecosystem dynamics. Based on this analysis, the platform provides intelligent insights through interactive visualization tools, including geospatial maps, time-series graphs, and analytical dashboards, enabling users to explore and interpret complex marine data effectively. The platform further supports cross-domain correlation analysis to evaluate the impact of environmental parameters on marine species distribution and ecosystem health. It also provides scalable storage, real-time data processing, and API-based access for seamless data retrieval and integration. By combining data integration, AI-driven analytics, and visualization capabilities into a single platform the invention aims to improve marine research efficiency, support sustainable fisheries management, and enable data-driven decision-making for ocean conservation and blue economy initiatives.
Disclaimer: Curated by HT Syndication.
