Journal of Computer Technology & Applications
Volume 16, Issue 2 (2025)
Table of contents
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Swastham: The Healthcare Ecosystem
Abstract: In the modern, fast-paced world, ensuring prompt and efficient healthcare services has become more crucial than ever. The demand for accessible, timely, and high-quality healthcare is constantly growing, and this project seeks to address this need by introducing a comprehensive healthcare ecosystem. This integrated platform is designed to optimize healthcare delivery and significantly enhance patient outcomes by incorporating advanced digital solutions. The system will allow users to conveniently schedule appointments …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 01–07 Read article
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Real-Time Cab Fare and ETA Prediction Using API Integration
Abstract: The exponential proliferation of ride-hailing platforms has necessitated the formulation of sophisticated and highly responsive predictive models for cab fare estimation and estimated time of arrival (ETA) computation. This work elucidates a robust framework leveraging real-time application programming interface (API) integration from Uber and Ola within a Flutter-based ecosystem to enhance predictive analytics. By assimilating real-time geospatial data, dynamic pricing algorithms, and latency-optimized API responses, this study investigates the empirical …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 08–15 Read article
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Design and Implementation of an Online Food Ordering System
Abstract: This study illustrates how the Online Food Ordering System has been tailored specifically to address the operational needs of Hotel Ambika, a semi-urban establishment. The system is designed to offer customers a smooth and interactive experience, allowing them to navigate through an organized menu, personalize their orders, and complete transactions with minimal effort. By using secure payment gateways and a virtual cart for easy order management, the system ensures a …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 106–115 Read article
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A Review on Punjabi Language Sentiment Analysis Using Machine Learning
Abstract: In this computer era, everyone is expressing their opinions or sentiments not only physically but over the social media platforms very frequently. Earlier, English was the only language for exchanging thoughts over the web, however, in the recent times, feedbacks, surveys or comments by the users are expressed in regional languages too. This leads to the need of analyzing sentiments for better communication on the digital platforms. For example, if …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 116–122 Read article
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The Role of Optimization and Probability in Shaping Artificial Intelligence
Abstract: This study discusses the basic roles of optimization algorithms and the theory of probability in the process of evolution and development of Artificial intelligence (AI). First, we introduce the role played by the next generation of leading-edge optimization algorithms developed since gradient descent to evolutionary strategies with respect to the learning of high-level AI models and how to enable them to learn to effectively explore high-dimensional parameter spaces. At the …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 123–128 Read article
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Multimodal Disease Detection Using Deep Learning
Abstract: Artificial Intelligence (AI) is playing an increasingly pivotal role in modern healthcare, particularly in improving the speed and accuracy of disease detection. With the evolution of Machine Learning (ML), Deep Learning (DL), and high-performance computing, AI-based solutions are now capable of processing extensive medical datasets, ranging from patient records to diagnostic images, with remarkable efficiency. These systems offer immense potential for early intervention, improved clinical decision-making, and alleviating pressure on …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 129–139 Read article
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Predicting Multiple Diseases Using Machine Learning: A Data-Driven Approach
Abstract: The increasing prevalence of chronic and life-threatening diseases highlights the need for innovative healthcare solutions that enable early detection and proactive management. The Multiple Disease Prediction Platform is a web-based system utilizing machine learning (ML) and deep learning (DL) algorithms to analyze user-inputted health data, generating real-time predictions of potential health risks. By leveraging Python’s Streamlit library, the platform provides an interactive and accessible diagnostic experience, eliminating the need for …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 16–35 Read article
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Machine Learning Revolutionizing Server Management and Performance
Abstract: The modern data center is a complex and dynamic environment, grappling with ever-increasing workloads, stringent performance demands, and the constant pressure for cost optimization. As such, applying machine learning (ML) directly to the server infrastructure offers a powerful avenue for achieving advanced automation, resource optimization, and proactive problem resolution. This article explores the transformative potential of integrating machine learning into server systems, leveraging insights gleaned from the abstract and conclusion …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 36–44 Read article
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Revolutionary Cursor Control Systems: Enhancing Human-Computer Interaction
Abstract: This project delves into leveraging artificial intelligence within virtual mouse systems to elevate human-computer interaction. The main objective is to improve user experience, increase efficiency, and introduce new ways of interaction. Employing artificial intelligence techniques such as computer vision, gesture recognition and speech recognition, the virtual mouse system adeptly tracks hand movements, interprets voice commands, recognizes gestures, and processes user inputs for seamless interactions. Tailoring features for design, gaming, accessibility, …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 45–52 Read article
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The Digital Playground: Evolution, Impact, and Future of Computer Gaming
Abstract: Computer gaming has transformed from a specialized hobby into a worldwide cultural force, shaping entertainment, technology, and social connections. This article delves into the history and influence of computer gaming, exploring its beginnings, technological progress, and increasing significance in modern society. We analyze various genres of games, the rise of e-sports, and the integration of virtual reality and artificial intelligence in enhancing user experiences. Additionally, the article delves into the …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 53–62 Read article
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Career Counselling and Personality Assessment App
Abstract: From the early foundations of career counselling, the role of self-awareness in making informed career choices has been well recognized. Frank Parsons, widely regarded as the pioneer of career counselling, emphasized the necessity of understanding oneself to make wise career decisions. He proposed that this self-awareness should be systematically connected to job requirements and opportunities through logical reasoning and structured analysis. This approach aims to empower individuals to make well-informed …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 63–69 Read article
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Aquaculture and Computers—Innovations and Applications
Abstract: Aquaculture, the cultivation of aquatic organisms for commercial purposes, has grown significantly over the past few decades due to the increasing global demand for seafood. The integration of computer technologies into aquaculture has revolutionized the industry, enabling more efficient management of resources, improved production processes, and enhanced sustainability. Computers and digital systems facilitate real-time monitoring of water quality, fish health, and feeding systems, while data analytics and artificial intelligence (AI) …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 70–85 Read article
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Prediction of Customer Churn Using Machine Learning Classification Models
Abstract: Customer churn prediction is a critical task in both the telecommunication and medical industries, where retaining customers or patients is essential for ensuring long-term profitability and maintaining high-quality service. To address this, a range of machine learning models—including logistic regression, decision trees, random forests, gradient boosting machines, and support vector machines—were employed to accurately forecast churn behavior. Prior to model training, the dataset underwent thorough preprocessing, which included handling missing …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 86–92 Read article
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A Comprehensive Tool for Authenticating Instagram Profiles Using Instaloader
Abstract: With the rapid growth of Instagram as a dominant social media platform, there is an increasing need for tools that allow users to extract, analyze, and monitor profile data efficiently. Instagram has become one of the leading platforms for personal branding, influencer marketing, business promotion, and public communication. As businesses and individuals seek to better understand their presence and influence on this platform, the need for reliable data extraction tools …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 93–98 Read article
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Phisherman: A Phishing Email Detection Browser Extension
Abstract: Phishing attacks continue to pose significant security risks, exploiting email as a primary vector to deceive users and compromise sensitive information. To counter these threats, Phisherman presents a sophisticated, real-time phishing detection system that integrates both rule-based methods and deep learning for heightened accuracy. Built as a cross-browser extension, compatible with Chrome, Firefox, and Edge through the WebExtension API, Phisherman combines traditional verification checks, such as DNS blacklisting, SPF, DKIM, …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 99–105 Read article