Journal of Computer Technology & Applications

Latest articles

• Published Subscription Review Article 29 Oct 2026

  Translation Issues and Problems in Automation of Sign Language

  By Rakesh K. Attar

  Abstract: Over 466 million people, including 432 million adults and 34 million children, have hearing impairments globally. Deaf persons have extremely little or no access to educational resources and other types of information. While visiting or traveling in public locations in the absence of a sign interpreter, members of the deaf community are typically in an uncomfortable situation. Public announcements made in public spaces are incomprehensible to deaf persons. Without the …

  Published in Journal of Computer Technology & Applications · Vol. 17, Issue 3, 2026 Read article →

• Published Subscription Original Research 15 Oct 2026

  Emote_X: An AI-Driven Framework for Real-Time Twitter Sentiment Classification Using Machine Learning

  By Arshita Mishra

  Abstract: Social media has become one of the ways people share their thoughts, feelings and responses to what is happening in the world. Twitter, which is now called X is an example. It creates a constant flow of short messages. These messages contain clues about how people feel in areas like business, health care, politics, entertainment and when there is a disaster. Tweets are very messy. They have abbreviations, hashtags, emojis, …

  Published in Journal of Computer Technology & Applications · Vol. 17, Issue 3, 2026 Read article →

• Published Subscription Original Research 15 Sep 2026

  CoreSight: Face Recognition-Based Smart Student Management & Attendance System

  By Manvi Mishra, Yogesh Shukla, Sanskriti Mishra, Naimisha Awasthi

  Abstract: Modern educational institutions increasingly require connected and intelligent digital systems to manage student information and attendance efficiently. This paper presents CoreSight, an Artificial Intelligence-based smart student management and attendance system designed to improve academic administration through automation and facial recognition technology. The CoreSight system combines a student information portal with a face recognition module that works in time. This means that the proposed CoreSight system can identify students accurately and …

  Published in Journal of Computer Technology & Applications · Vol. 17, Issue 3, 2026 Read article →

• Published Subscription Review Article 3 Sep 2026

  Deep Learning Approaches for Graph Similarity Computation: A Review

  By Ashwani Kumar Yadav, Prakash Dwivedi

  Abstract: Graph-structured data is increasingly prevalent in many real-world applications such as social networks, biological systems, molecular chemistry, and knowledge graphs. Measuring the similarity between graphs is a fundamental task in graph analytics, enabling applications including pattern recognition, recommendation systems, network alignment, and drug discovery. Traditional approaches for graph similarity computation, such as Graph Edit Distance and graph kernels, provide effective structural comparison but often suffer from high computational complexity and …

  Published in Journal of Computer Technology & Applications · Vol. 17, Issue 2, 2026 Read article →

• Published Subscription Review Article 30 Aug 2026

  Insurance Chatbot for Customer Support Using LLM and Generative AI

  By Om Rajendra Deokar, Ashish Chincholikar, Suraj Chothe, Radhakrishna Naik

  Abstract: The Insurance Chatbot for Customer Support is an AI inspired solution designed to streamline customer interactions within the insurance industry. The main purpose of Large Language Models and Generative AI in the chatbot enhances accessibility to policy details, facilitates seamless policy enrollment and enables real time claims tracking. Its ability to process natural language queries ensures accurate and intuitive responses, significantly reducing customer confusion and operational inefficiencies. This chatbot addresses …

  Published in Journal of Computer Technology & Applications · Vol. 17, Issue 2, 2026 · pp. 41–47 Read article →

• Published Subscription Review Article 10 Aug 2026

  Feature Engineering in Modern Predictive Modeling: Techniques, Automation Frameworks and Emerging Trends

  By Jyoti Panchariya, Surendra Kumar Yadav, Shruti Mathur

  Abstract: Feature engineering plays a crucial role in developing reliable and high-performing predictive models. It involves transforming raw and unprocessed data into meaningful features that help machine learning algorithms achieve better accuracy and overall performance. Feature engineering is helpful in identifying hidden patterns, removing noise, and increasing the signal-to-noise ratio in data sets. Machine learning techniques have progressed remarkably over the years, and the effectiveness of these models largely depends on …

  Published in Journal of Computer Technology & Applications · Vol. 17, Issue 2, 2026 · pp. 32–40 Read article →

• Published Subscription Original Research 30 Jun 2026

  AI-Augmented Online Aptitude Exam System with Adaptive Testing, Intelligent Question Generation and Performance Analytics

  By Shweta Singh, Riya Maurya, Mira Gohil

  Abstract: In the non-technological world, assessment is inflexible, catering for the diverse ability range of test takers which automatically leads to sub-optimal assessment, and sub-optimal engagement with the assessment. We have been developing an open source, AI-based exam system which will be able to meet these challenges. The Item Response Theory (IRT) and standard machine learning procedures are used. The system adjusts the difficulty level of the questions dynamically as per …

  Published in Journal of Computer Technology & Applications · Vol. 17, Issue 2, 2026 · pp. 48–62 Read article →

• Published Subscription Original Research 25 May 2026

  Elevare – AI Career Suggestion Portal- Helping Students by Binding the Solutions at One Place

  By Divyam Manchanda, Ravikant Jangir, Nikita Malik

  Abstract: The selection of suitable career has become very difficult and it's complexity is being increased day by day, due to advancement in technology and number of professional fields. conventional approaches of suitable of occupation focus on aptitude tests that in fact do not consider the variability in skills. This paper introduces a new AI-powered career suggestion portal called Elevare, which attempted to help students choose a career occupation based on …

  Published in Journal of Computer Technology & Applications · Vol. 17, Issue 2, 2026 Read article →

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