Intellectual Property India Publishes Patent Application for 'Algorithmic Framework For A Real-Time Visualization Dashboard For Generating Awareness On Consumer Protection Act, 2019 In Odia Language Interfaces' Filed by Ms. Shibanee Acharya; Prof. Binay Kumar Das; Mr. Omkar Acharya; Dr. Sujit Kumar Acharya; and Dr. Himanshu Bhusan Mishra

MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202531129636 A) filed by Ms. Shibanee Acharya; Prof. Binay Kumar Das; Mr. Omkar Acharya; Dr. Sujit Kumar Acharya; and Dr. Himanshu Bhusan Mishra, Balasore, Odisha, on Dec. 20, 2025, for 'algorithmic framework for a real-time visualization dashboard for generating awareness on consumer protection act, 2019 in odia language interfaces.'

Inventor(s) include Ms. Shibanee Acharya; Prof. Binay Kumar Das; Mr. Omkar Acharya; Dr. Sujit Kumar Acharya; and Dr. Himanshu Bhusan Mishra.

The application for the patent was published on Jan. 9, under issue no. 02/2026.

According to the abstract released by the Intellectual Property India: "Algorithmic Framework for a Real-Time Visualization Dashboard for Generating Awareness on Consumer Protection Act, 2019 in Odia Language Interfaces Real-Time Visualization Dashboard aims at significantly boosting consumer awareness and engagement regarding the Consumer Protection Act, 2019 (CPA 2019). The core innovation lies in its comprehensive integration of Odia Language Interfaces (OLI) to overcome the critical linguistic barrier facing the regional population of Odisha. The framework utilizes Real-Time Data Connectors to ingest raw complaint and regulatory data from multiple central sources. This data is processed through an Odia NLP/Machine Translation Module trained on a specialized legal corpus, which accurately translates legal terms, performs sentiment analysis on Odia feedback, and standardizes terminology (Input Schema Mapping). Crucially, the system employs Geo-Spatial Clustering to identify localized "Consumer Hotspots" and Anomaly Detection to flag sudden spikes in specific unfair trade practices (e.g., e-commerce fraud). The final layer is an Adaptive Visualization Engine that renders all metrics, charts, and an Interactive Odia Map entirely in the native Odia script. The framework concludes with an Automated Alert Generation System that pushes targeted, context-specific warnings in Odia, transforming complex regulatory data into accessible, actionable insights, thereby democratizing consumer protection knowledge for Odia-speaking citizens."

Disclaimer: Curated by HT Syndication.