MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202641093560 A) filed by Dr. R. Govindan; Dr. Nalla Kumar Ponnusamy; Mr. Phanideep Karnati; Dr. R Vadivel; Dr. C Lalitha; Dr. Manteswari Charan; Ms. Gorisetty Nirosha; Dr. Sampathirao Suneetha; Mr. Md Javed; Dr. Rubaid Ashfaq; Dr. Badhusha M H N; G. Philomine Joan Of Arc; and Dr. V. Kannan on August 02, 2026, for An Analysis On The Study Of Applications In Ai Finance.
Inventors include Dr. R. Govindan; Dr. Nalla Kumar Ponnusamy; Mr. Phanideep Karnati; Dr. R Vadivel; Dr. C Lalitha; Dr. Manteswari Charan; Ms. Gorisetty Nirosha; Dr. Sampathirao Suneetha; Mr. Md Javed; Dr. Rubaid Ashfaq; Dr. Badhusha M H N; G. Philomine Joan Of Arc; and Dr. V. Kannan.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: ABSTRACT An Analysis on the Study of Applications in AI Finance The proposed innovation introduces an Artificial Intelligence-Based Smart Financial Management System (AI-SFMS) designed to transform modern financial services through intelligent automation, predictive analytics, fraud prevention, and personalized financial assistance. The framework integrates Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Big Data Analytics, Blockchain Technology, Cloud Computing, and Business Intelligence into a unified financial ecosystem. Unlike conventional financial management systems that rely on manual analysis and rule-based decision-making, the proposed framework continuously analyzes financial transactions, customer behavior, investment patterns, market conditions, and credit information to generate intelligent recommendations. The system supports automated investment advisory, AI-driven credit scoring, fraud detection, financial forecasting, portfolio optimization, and virtual customer assistance. The proposed innovation enhances financial security, improves decision-making accuracy, reduces operational costs, minimizes financial risks, and increases customer satisfaction. The framework is suitable for banks, financial institutions, insurance companies, investment firms, stock market platforms, fintech organizations, and digital payment systems.
Disclaimer: Curated by HT Syndication.
