MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641049785 A) filed by Asia Pacific World School; and Samuel Paul Isaac, Bengaluru, Karnataka, on April 19, for 'a system for ai-driven financial management using python-emergent machine learning.'
Inventor(s) include Samuel Paul Isaac; Dalavoi Dwaraka Sarathi; Aaryan Rajesh Kumar; K S Daiwik Krishna; Harsha Nandeesh Narigannagari; and Vada Nidheesh Reddy.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an AI-driven financial management system implemented using a Python-based emergent machine learning framework. The system integrates real-time expenditure tracking, graphical analytics, intelligent pocket-based fund allocation, personalised financial mentorship, and predictive modelling for stock and cryptocurrency markets. Hybrid machine learning models including Support Vector Machines, Random Forests, and transformer-based NLP are used for expenditure classification. Investment prediction is performed using Long Short-Term Memory networks, graph neural networks, and transformer architectures. A reinforcement learning engine optimises fund allocation based on user behaviour. The system provides continuous learning, anomaly detection, and personalised financial recommendations. Secure API integration and encryption mechanisms ensure data privacy. The invention offers a unified, adaptive, and intelligent solution for financial management."
Disclaimer: Curated by HT Syndication.
