Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
In order to improve information accessibility, the growing amount of digital text calls for effective summarizing technologies. In this work, we introduce Summary Creator, an AI-powered tool that uses large amounts of text data to produce succinct and insightful summaries. Utilizing cutting-edge Natural Language Processing (NLP) models from Hugging Face, the system was created utilizing Python and Object- Oriented Programming (OOP) concepts to guarantee great accuracy and efficiency. It is flexible for a wide range of users because to its scalability, dependability, and secure access when deployed on AWS. This system's ability to support several languages is a crucial component that makes summarizing content in different languages easy. Furthermore, by providing explanations of words when hovered over, an interactive word-meaning tool improves comprehension and helps users who are not native speakers or who are not familiar with particular terms.By turning complicated texts into easily readable summaries, the suggested method meets the increasing need for automated text processing in professional documentation, research, and teaching. An efficient and scalable summarizing system for handling textual data is ensured by the combination of cloud computing, sophisticated natural language processing techniques, and user-centric features.
Keywords:
Deep Learning, AWS, Hugging Face Transformers, Natural Language Processing, Text Summarization, AI-based Summarization, and Multi-Language Support.
Cite Article:
"Summary Creator Using Deep Learning in NLP", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.a386-a390, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504055.pdf
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000315
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator