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35 articles for “Sign Language Translator”
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Survey Paper on Multilingual Live Call Translation Using Deep Learning
Abstract: This research work surveys cutting-edge language translation technologies, including multi-lingual, real-time translation, voice recognition, speech-to-text conversion, and transcription in the hearing process. The study explores the complex mechanisms behind voice call language translation, focusing on sophisticated machine learning models integrated with cloud-based or local applications to facilitate seamless communication across language barriers. Furthermore, conducting research in live communication analyzes the complexity of text and voice techniques to deliver translated content …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 2, 2024 · pp. 13–21 Read article
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Transcoder: Translate C++ to Python
Abstract: In computer science, there are different programming languages but the logic to implement a particular code remains same in every language. Many people have code bases in outdated programming languages like COBOL and switching those bases to more modern ones like Java, C++, or Python requires a significant investment of time and resources. Transcoder can conserve a lot of resources in the situation. This is a pilot project that we …
Published in Recent Trends in Programming languages · Vol. 10, Issue 1, 2023 · pp. 13–18 Read article
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Switching in Bilinguals: Evidence from Forward and Backward Switching Tasks Across Visual and Auditory Modality
Abstract: Bilingualism refers to the use of two languages on a day-to-day basis. Defining bilingualism operationally is complex due to the heterogeneity associated with it. Proficiency in the second language can vary on an individual basis. Bilinguals can be classified as balanced or dominant, high proficient or low proficient based on the proficiency levels. The effect of bilingual proficiency on executive functions has been studied extensively. The current study explored the …
Published in Emerging Trends in Languages · Vol. 1, Issue 1, 2024 · pp. 19–23 Read article
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GPT in Code Conversion: Achieving Agile, Accurate, and Effective Translations Across Programming Languages
Abstract: This comprehensive study meticulously investigates the intricacies and challenges inherent in the process of code conversion across a diverse range of programming languages. It provides an in-depth examination of select instances where code conversion poses significant challenges, and thoughtfully proposes innovative solutions to these complex problems. A key highlight of this research is the use of Generative Pre-trained Transformers (GPTs) like Copilot, which have proven to be instrumental in achieving …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 11–20 Read article
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Integrating Deep Learning and Computer Vision for Recognizing American Sign Language
Abstract: The only way the hearing-impaired community can exchange ideas is by utilizing non-verbal communication. The main challenge, however, is that the non-impaired community, which may not comprehend non-verbal communication, would struggle to communicate effectively with this group, and vice versa. The project is purposely devised to admit unwilling and dumb societies to transport ideas and connect with the organization. It aims to bridge the gap between the hearing- and speech-impaired …
Published in Current Trends in Information Technology · Vol. 14, Issue 3, 2024 · pp. 10–17 Read article
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Harnessing NLP for Automation and Intelligence Across Sectors
Abstract: Natural Language Processing or NLP is a vital subset of Artificial Intelligence or AI which enables machines to interpret, understand, and communicate using human language in a remarkable way. From the traditional rule-based approaches to the modern advanced deep learning techniques such as transformers, neural networks, and hybrid models, NLP has been evolving year by year. This study reflects on various applications of NLP, including sentiment analysis, machine translation, analysis …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 23–32 Read article
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Assessment of Routine Child Immunization and Associated Factors Among Children Under Two Years of Age in Jigjiga Karamara Hospital, East Ethiopia
Abstract: Objective: Expanded programme on immunization (EPI) is one of the greatest achievements in medicine and public health, greatly reducing morbidity, mortality and health care costs. Despite various initiatives and campaigns, programme improvement was marginalized in Ethiopia. This study was aimed to assess routine child immunization and associated factors among children less than two years of age in Jigjiga Karamara Hospital, East Ethiopia. Methods: Institutional-based cross-sectional study was conducted on mothers …
Published in Research and Reviews : A Journal of Immunology · Vol. 9, Issue 3, 2019 · pp. 25–32 Read article
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A Voice Based Framework in Medical Emergency and Essential Services Using NLP (In Special Reference to People with Writing Disability)
Abstract: Natural Language Processing (NLP) has become increasingly popular in recent years as a means of organising and structuring knowledge for tasks such as translation, summarization, named entity recognition, relationship extraction, and audio recognition. The processing efficiency of NLP based systems has increased significantly with the introduction of deep learning algorithms. The COVID-19 pandemic has posed a challenge to medical research, information technology operations, corporate procedures, and the global economy. Several …
Published in Recent Trends in Programming languages · Vol. 9, Issue 2, 2022 · pp. 1–7 Read article
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Morse Code Translator to Convert Text to Morse Code and Morse to Text
Abstract: Initially, Morse code exclusively conveyed numerals through a series of dits (dots) and dahs (dashes). Alfred Vail later expanded its use to include letters and characters. Morse code can be conveyed through different channels, including electric telegraph wires, light signals, and audible sound. American prisoners utilize the Tap code for communication. Morse code serves as a means of long-distance communication and was established by European nations in 1851 as the …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 1, 2024 · pp. 6–11 Read article
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Voice Assistant Based On AI
Abstract: Voice control is a significant emerging element that is revolutionizing how people can live. The voice assistant is frequently utilized in laptops and cellphones. AI-based Operating systems with built-in voices that can detect human speech are known as voice assistants. The voice assistant will collect sounds from the microphone, translate it to text, and send it over GTTS (Google text to speech). The English-language audio file created by the GTTS …
Published in Recent Trends in Programming languages · Vol. 9, Issue 2, 2022 · pp. 18–26 Read article
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Natural Language Processing in Everyday Applications: From Classrooms to Clinics
Abstract: Natural Language Processing (NLP) is transforming everyday sectors like healthcare and education by creating new opportunities for efficiency, accessibility, and early intervention. This paper investigates the function of natural language processing (NLP) in computer education. Tools like automated grading systems, intelligent tutoring assistants, and multilingual translation platforms are revolutionizing traditional teaching methods. Despite its benefits, adoption is still being slowed down by problems like data privacy, integration with education, and …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 Read article
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Artificial Intelligence for Tracking Cognitive Deviation in Aging Populations: A Comprehensive Review of Techniques, Challenges, and Ethical Concerns
Abstract: Population aging is accelerating worldwide, and with it the burden of cognitive health conditions such as mild cognitive impairment (MCI), Alzheimer’s disease (AD), and dementia. Detecting and monitoring cognitive change early is central to timely intervention, yet conventional diagnostic tools often miss the subtle signals that appear before overt symptoms. Artificial intelligence (AI) has emerged as a promising complement to clinical assessment because it can work through high-dimensional data and …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 2, 2026 · pp. 27–37 Read article
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AI-Based Discovery of High-Performance Energy Storage Polymer Composites: A Comprehensive Review
Abstract: The accelerating global demand for high-performance energy storage systems has stimulated significant research into advanced polymer composites as next-generation electrolytes, electrode binders, and functional membranes for batteries, supercapacitors, and photovoltaic devices. However, the vast compositional and structural design space of polymer materials presents formidable challenges for conventional trial-and-error discovery strategies, which remain slow, costly, and biased by prior expert knowledge. Machine learning (ML) and artificial intelligence (AI) have emerged as …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1083–1097 Read article
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Ethical Risks of Generative AI in Education: Challenges, Implications, and a Responsible Use Framework
Abstract: The rapid diffusion of generative artificial intelligence (AI) technologies in educational settings is reshaping how teaching, learning, and assessment are designed and enacted. Large language models and related generative systems offer powerful capabilities for content creation, personalized feedback, and instructional support, promising gains in efficiency and learner engagement. However, their growing use also introduces a complex set of ethical risks that challenge foundational educational values such as integrity, equity, transparency, …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 23–30 Read article
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FLUTTERCHAT: A Real-time Firebase Chat Application with AI-based Chatbot
Abstract: Recently, the development and deployment of chatbots have gathered significant attention from both developers and researchers. Chatbots represent AI-driven conversational systems capable of understanding and responding to human language using advanced techniques like Natural Language Processing (NLP) and Neural Networks (NN). A cutting-edge real-time chat application has been crafted using Flutter and OpenAI, seamlessly integrating an AI-powered chatbot with an innovative image generator to enrich user interaction and engagement. The …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 42–51 Read article