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 | DocuIntel Pro-Smart Multilingual Document Summarization System |
|---|---|
| ABSTRACT | DocuIntel Pro – Smart Multilingual Document Summarization System is an AI-powered application designed to simplify long and complex documents into concise, easy-to-understand summaries. In today’s fast-paced digital world, users often struggle to read and analyze lengthy documents such as research papers, legal files, academic materials, and general reports. This system aims to reduce reading time and improve comprehension by generating intelligent summaries using advanced Natural Language Processing (NLP) techniques. The system allows users to upload documents in multiple formats such as PDF, Word, JPG, and PNG. Additionally, it supports real-time document capture using a live camera scanning feature. Users can choose the document domain, including General, Legal, Academic, and Research/Thesis papers, enabling the system to generate context-aware summaries. The application provides customizable summary length options such as Short, Medium, and Detailed. Users can also select the output format as either paragraph-based or bullet-point summaries for better clarity. Furthermore, the system supports multilingual translation of summaries into English, Tamil, and Hindi. All processed documents are stored in a history section along with date and time for future reference, and users are given the option to delete records if needed. The summarized content can also be downloaded for offline use. This project demonstrates the integration of Artificial Intelligence, Natural Language Processing, Optical Character Recognition (OCR), and multilingual translation to create an efficient and user-friendly document summarization system. |
| AUTHOR | K HARISHMITHA, DR. S. SHYLAJA Student, Department of Computer Applications, Sri Ramakrishna College of Arts and Science, Coimbatore, India Assistant Professor, Department of Computer Applications, Sri Ramakrishna College of Arts & Science, Coimbatore, India |
| VOLUME | 181 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1402039 |
| pdf/39_DocuIntel Pro-Smart Multilingual Document ummarization System.pdf | |
| KEYWORDS | |
| References | [1] Jurafsky, D., & Martin, J. H., Speech and Language Processing, Pearson Education. [2] Vaswani, A., et al., “Attention Is All You Need,” NeurIPS, 2017. [3] Devlin, J., et al., “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,” NAACL, 2019. [4] Smith, R., “An Overview of the Tesseract OCR Engine,” ICDAR, 2007. |
