International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Design and Development of an Intelligent Smart Notes Management System |
|---|---|
| ABSTRACT | The high rate of digital transformation in the education sector has placed a lot of pressure on the use of smart tools that can improve knowledge acquisition, storage and learning. The use of the conventional method of taking notes, be it in a handwritten form or in a simplistic digital version, tends to be not well structured, not easily searchable, and incapable of summarizing the content intelligently. This paper suggests the creation and maintenance of a Smart Notes System that combines the concepts of Artificial Intelligence (AI) and Natural Language Processing (NLP) in order to enhance the process of managing notes in the academic sphere. The suggested system allows automated text summarization, keyword extraction, intelligent tagging, voice-to-text conversion, and optimized information search by a systematized database structure. A cloud-based system guarantees data synchronization and safe accessibility among the devices. The system architecture would consist of user interface module, a data processing engine, NLP module and database management system, which makes interaction with the system easy and allows processing of intelligent content. To measure system performance, the summarization accuracy, retrieval efficiency, processing time, and user satisfaction were used as the metrics. Experimental outcomes indicate better organization of notes, lower cognitive load and faster note retrieval with experimental applications than with traditional digital note taking programs. The results indicate that the Smart Notes System is an effective and efficient way of learning and knowledge management, thus it is a scalable and adaptable solution to contemporary academic settings. It can be improved in the future by adding adaptive learning analytics and multilingual processing capabilities. |
| AUTHOR | MOHINI MASRAM, NIKITA RAJURKAR, KAJAL DONGARE, ASHWINI KAPILE Assistant Professor, Ranibai Agnihotri Institute of Computer Science & Information Technology, Wardha, Maharashtra, India |
| VOLUME | 181 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1402032 |
| pdf/32_Design and Development of an Intelligent Smart Notes Management System.pdf | |
| KEYWORDS | |
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