Search
13 articles for “NLP”
-
NLP in Sign Language Recognition Boon for Dumb People
Abstract: In order to help and provide facility to the persons who have vocal and hearing problems to communicate, this study provides a design innovative system. It discusses an improving technique for speech-to-sign translation and sign language recognition. The created method uses skin colour segmentation to extract indications from video sequences with a dynamic and minimally crowded background. It separates out the relevant feature vectors from dynamic movements and gives room …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 1–7 Read article
-
Pregcare Record Analysis Based on BERT and Anticipatory Computing: A Review
Abstract: Development of a sophisticated Medical Pregnancy Care chatbot leveraging state- of-the-art Natural Language Processing (NLP) techniques, specifically the BERT framework. The chatbot offers a seamless user experience with two key functionalities: patient registration and comprehensive medical report generation. New users are prompted to register, providing essential personal details, and subsequently prompted to fill detailed medical reports, ranging from the 1st to the 9th month of pregnancy. The system employs anticipatory …
Published in International Journal of Analog Integrated Circuits · Vol. 10, Issue 1, 2024 · pp. 27–35 Read article
-
Legal Ease: An End-to-End Automated Legal Document Processing System Using LLMs and OCR
Abstract: This paper describes an automated legal document processing system that uses modern technologies, such as Large Language Models (LLMs) and Optical Character Recognition (OCR). Designed to streamline legal procedures, the system allows users to submit legal documents in PDF format and uses Tesseract-powered OCR to extract and digitize text while keeping the document’s layout and structure. The digitized text is processed by an LLM that has been fine-tuned using legal …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 1, 2025 · pp. 29–32 Read article
-
Use of Natural Language Processing for Hate Speech Detection on SocialMedia:
Abstract: The exponential growth of social media platforms has led to an increase in user- generated content, enhancing global connectivity but also facilitating the spread of harmful language, including hate speech. Addressing this issue requires robust, Naïve Bayes, Decision Tree, K-Nearest Neighbours (KNN), Linear Regression, and Random Forest—were tested, with Linear Regression achieving the highest accuracy automated systems for detecting and mitigating offensive content. This paper presents a comprehensive analysis of …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 · pp. 9–16 Read article
-
Real-Time Language Translation Application Using Tkinter
Abstract: This application, "Real Time Language Translation Application Using Tkinter," was created to develop a friendly tool by which users can instantaneously translate text from one language to another. Built using Python and the Tkinter library, it uses the integration of the Google Translate API to deliver an accurate translation with context while relying on Natural Language Processing technology through the system for Google's Neural Machine Translation. The GUI developed with …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 26–32 Read article
-
Design and Development of an Interactive Robotic Companion with Expressive Personality Traits
Abstract: Abstract This study introduces the development of an interactive robotic companion designed to enhance human-robot interaction (HRI) through mobility, animatronic eye movements, and natural language processing (NLP). Targeting broader accessibility, the prototype aims to provide companionship, especially for elderly individuals and those with physical limitations. The system integrates an Arduino MEGA 2560 microcontroller with key components, including an Echo Dot for NLP and voice recognition, servo-controlled animatronic eyes for lifelike …
Published in International Journal of Mechanics and Design · Vol. 11, Issue 1, 2025 · pp. 1–14 Read article
-
Application of Embedding Method for both the Study of Binary Codes
Abstract: Binary code analysis is essential for analyzing programmers despite access to the actual source code specific to valuable place. The study of binaries may be difficult due to their wide variations: due to the proliferation of tech developers, the source code is now often optimized for several instruction set architectures (ISAs); although there is no systematic vocabulary that distinguishes among their assembly languages. The complexity of detection has been further …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 7, Issue 1, 2021 · pp. 10–18 Read article
-
Deep Learning with CNNs: A Survey of Techniques and Real-World Applications
Abstract: Convolutional Neural Networks (CNNs) have emerged one of the most powerfully used tools in deep learning, particularly in image and pattern recognition tasks. CNNs are being revolutionized through deep learning resulting in a dominant architecture in computer vision as well as other various domains. This paper provides a comprehensive survey of CNN-based deep learning, its methodologies, regularizations, and computational efficiencies. We also address the challenges and future directions of CNN. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article
-
Enhanced Healthcare Voice Assistant: Integrating Sentimental Support and Medical Assistance for Improved Patient Engagement (QUANTUM WELL F7)
Abstract: Healthcare systems are increasingly leveraging voice assistant technology to provide convenient and accessible medical assistance to patients. In this paper, we propose an enhanced healthcare voice assistant that integrates sentimental support capabilities with medical assistance features. The voice assistant employs advanced natural language processing (NLP) algorithms to analyze user sentiments and provide empathetic responses, while also offering personalized medical advice and assistance. We evaluate the effectiveness of the proposed system …
Published in International Journal of Analog Integrated Circuits · Vol. 14, Issue 1, 2024 · pp. 36–43 Read article
-
Fake News Detection Based on 3-HAN Architecture Using Deep Learning Techniques
Abstract: Fake news spreading is a common scenario we see nowadays in this modern era of social media and smart phones. According to the New York Times, fake news is described as “a made-up story with the intention of misleading, frequently with financial gain as the motive.” The problem is complex, given its varied interpretations across the globe. Hence, an effective system is needed to detect whether the given news is …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 21–31 Read article
-
Adaptive Text_Summarization: A Meaningful Summarization of Reviews
Abstract: Adaptive text_summarization is a model which takes elaborated data set of reviews containing more than two attributes as input and further breaks down those large chunks of text into summarized - form by eliminating attributes which are of less important for final evaluation. We keep only those attributes which contribute for better adaptation of meaning of the dataset. We have executed the techniques of Recurrent Neural-Network and Seq2Seq models to …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 1–7 Read article
-
Fake News and Hate Speech Detection Using Deep Learning
Abstract: Due to the potential for such content to hurt both people and society as a whole, the issue of identifying fake news and hate speech on internet platforms has grown in importance in recent years. This problem has shown great potential for resolution through deep learning, a specific area of machine learning. In this research work, we examine recent studies on the application of deep learning methods for the identification …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 15–23 Read article
-
Multi-Modal Summarization for Digital Data
Abstract: ABSTRACTText summarization aims to abbreviate input text into a compact form. Automatic data summarization is one of the field of data mining. The increase in expansion of data communication over the net makes it crucial to create Multi-Modal Summarization (MMS) from synchronous data (text, audio, image and video). The MMS method combining the techniques of Natural Language Processing (NLP), speech processing, computer vision, and Advanced Encryption Standard (AES) encryption used …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 6, Issue 1, 2020 · pp. 28–34 Read article