MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202641088077 A) filed by Madhankumar C; Dr. Sharmila Balasubramanian; Dr. S. Suganya; Mrs. Priyanga M; Lakkadi Sphoorthi; Raja K; Mr Marikumar B; Rajeev Raghuwanshi; Mr Selvarajalingam S; and Mr Akash R on July 19, 2026, for Generative Ai-Based Intelligent English Communication And Academic Writing Enhancement System With Personalized.
Inventors include Dr. Sharmila Balasubramanian; Dr. S. Suganya; Mrs. Priyanga M; Lakkadi Sphoorthi; Raja K; Mr Marikumar B; Rajeev Raghuwanshi; Mr Selvarajalingam S; and Mr Akash R.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: Generative AI-Based Intelligent English Communication and Academic Writing Enhancement System with Personalized Abstract The present invention discloses a Generative AI-Based Intelligent English Communication and Academic Writing Enhancement System with Personalized Learning that integrates generative artificial intelligence, natural language processing (NLP), machine learning, and adaptive learning technologies to improve English communication skills and academic writing proficiency. Conventional language learning platforms primarily focus on grammar correction or vocabulary enhancement, often lacking personalized guidance, contextual feedback, and real-time communication support. The proposed invention addresses these limitations by providing an intelligent platform capable of analyzing user language proficiency, generating personalized learning content, and delivering context-aware recommendations for spoken and written English. The system comprises a multimodal input module configured to receive text, voice, and document-based inputs, a generative AI language analysis engine, an academic writing enhancement module, a communication coaching module, a grammar and style correction engine, a plagiarism and originality assessment module, a personalized learning controller, and a continuous feedback system. Using advanced natural language understanding and generative AI models, the system identifies grammatical errors, vocabulary limitations, sentence structure issues, coherence gaps, and academic writing inconsistencies while generating improved versions with detailed explanations and context-specific suggestions. The personalized learning module continuously adapts exercises, communication scenarios, and writing recommendations based on learner proficiency, historical performance, and learning objectives. The invention further incorporates cloud computing, knowledge graphs, speech recognition, pronunciation assessment, and self-learning algorithms to enhance communication accuracy and academic writing quality over time. The proposed system supports academic essays, research papers, reports, presentations, emails, professional communication, interview preparation, public speaking, and business correspondence. By combining generative artificial intelligence with explainable feedback and adaptive personalized learning, the invention improves language fluency, academic writing quality, communication confidence, and learning outcomes, making it suitable for students, researchers, educators, professionals, educational institutions, and digital learning platforms.
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