MUMBAI, India, Nov. 21 -- Intellectual Property India has published a patent application (202521105082 A) filed by Sharda Sumedh Thete; Deepika Dattatraya Walanjkar; Dr. Srinivasan Nagaraj; T. Bhargavi,; Boya Vijaya Durga; M. Gowthami; Mr. Tambre Keshav Gopinath; Dr. N. Thinaharan; and K. Neelima, Pune, Maharashtra, on Oct. 30, for 'nlp-driven java code generation framework for intelligent systems development.'
Inventor(s) include Sharda Sumedh Thete; Deepika Dattatraya Walanjkar; Dr. Srinivasan Nagaraj; T. Bhargavi; Boya Vijaya Durga; M. Gowthami; Mr. Tambre Keshav Gopinath; Dr. N. Thinaharan; and K. Neelima.
The application for the patent was published on Nov. 21, under issue no. 47/2025.
According to the abstract released by the Intellectual Property India: "This invention presents an innovative artificial intelligence-based framework that automates the transformation of natural language instructions into executable Java code. The invention leverages Natural Language Processing (NLP), machine learning, and rule-based reasoning to interpret user inputs-either in text or voice form-and generate syntactically correct, contextually accurate, and optimized Java programs. It addresses the limitations of conventional programming processes that rely heavily on manual coding and developer expertise, thereby simplifying and accelerating intelligent system development. The framework operates through a multilayered architecture consisting of natural language preprocessing, semantic interpretation, and a hybrid code generation engine. The NLP models extract user intent, identify entities and relationships, and translate these linguistic elements into logical programming constructs. A context-aware rule-based generator then produces complete Java classes, interfaces, and methods following object-oriented programming principles and design standards. An integrated validation and testing module ensures that the generated code is functional, consistent, and ready for deployment. The system is adaptive, capable of learning from user feedback to enhance its accuracy and performance over time. It also supports multilingual inputs, enabling users from diverse linguistic backgrounds to describe programming tasks in their native language. The invention can be deployed as a standalone platform, IDE plugin, or API integration for enterprise-level intelligent system development. This invention represents a major advancement in AI-assisted software engineering, bridging the gap between human intent and machine execution. By converting natural language into reliable, deployable Java code, it significantly improves productivity, reduces human error, and democratizes access to intelligent system development."
Disclaimer: Curated by HT Syndication.
