MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202621048123 A) filed by Akansha Parihar; Huzaifa Imam; Mitanshi Jain; Mitali Tomar; Pranshu Gupta; Ishan Gupta; Harsh Chatwani; Krishnanand Choudhary; Naman Gupta; Nilanshu Garhewal; Khushboo Tiwari; and Khushi Kundwani on April 15, 2026, for An Intelligent Ai-Ml Based System For Automated Data Analysis And Decision Support.
Inventors include Akansha Parihar; Huzaifa Imam; Mitanshi Jain; Mitali Tomar; Pranshu Gupta; Ishan Gupta; Harsh Chatwani; Krishnanand Choudhary; Naman Gupta; Nilanshu Garhewal; Khushboo Tiwari; and Khushi Kundwani.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: ABSTRACT An Intelligent AI-ML Based System for Automated Data Analysis and Decision Support The present invention relates to an intelligent system based on artificial intelligence (AI) and machine learning (ML) for automated data analysis and decision support. The system is designed to handle large volumes of structured and unstructured data collected from multiple heterogeneous sources such as databases, sensors, cloud platforms, and application interfaces. It integrates data acquisition, preprocessing, model training, and analytics into a unified framework to enable efficient and accurate data processing with minimal human intervention. The invention employs advanced machine learning algorithms, including artificial neural networks, support vector machines, random forest, and deep learning techniques, to identify patterns, perform predictive analysis, and generate meaningful insights. A preprocessing module ensures data quality through cleaning, normalization, and feature selection, while the analytics module performs classification, regression, clustering, and anomaly detection. The system supports real-time data processing and incorporates adaptive learning mechanisms to continuously improve model performance. The system includes a decision support module that provides optimized recommendations using predictive analytics and rule-based logic, along with a user interface module that offers interactive dashboards and visualization tools for effective monitoring and decision-making. The proposed invention enhances accuracy, scalability, and operational efficiency, making it suitable for applications in healthcare, finance, business intelligence, industrial automation, and other data-driven domains.
Disclaimer: Curated by HT Syndication.
