Search
134 articles for “online app”
-
Empowering Academic Libraries: Navigating the Digital Age with Knowledge Management and Online Resource Optimization
Abstract: Knowledge management plays a crucial role in academic libraries, with a focus on enhancing research outputs and improving access to information. In the realm of online resources management, academic libraries must harness online resources to enhance student success and employability. The OntoEng framework provides a theoretical framework for knowledge management. By incorporating such methodological enhancements, future research in both MD and medical education could lead to the development of more …
Published in Journal of Advancements in Library Sciences · Vol. 11, Issue 1, 2024 Read article
-
A Secure Storage Model with Authentication and Optimal Key Generation Based Encryption
Abstract: In digital forensics, ensuring the secure storage of digital evidence is crucial. This paper introduces a new method that uses advanced encryption and key generation techniques to protect digital evidence throughout an investigation. Cloud forensics, a modern approach to digital forensics, aims to safeguard evidence from online hacking. However, storing all evidence in one central location can reduce its reliability. To address this, we propose a digital forensics architecture for …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 7–13 Read article
-
Machine Learning Innovations for Effective Spam Comment Filtering in Social Networks
Abstract: The increasing prevalence of social media platforms has revolutionized communication, fostering unparalleled levels of connectivity and data exchange. However, the widespread increase in spam comments presents a serious threat to the integrity of online discussions, potentially undermining the quality of interactions. To confront this issue, our proposed model utilizes machine learning techniques to bolster spam comment detection across various social media platforms. This endeavor involves a thorough investigation encompassing data …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 2, 2024 · pp. 19–24 Read article
-
Urban Smart Living: Home IoT Technology
Abstract: The practice of self-sufficiently regulating home appliances using various control system approaches is known as IoT smart city home automation. Many control strategies may be utilized to control the electrical and electronic appliances in the house, including the windows, refrigeration units, fans, lights, fire alarms, kitchen timers, and so on. Sync thousands of products to automate everyday tasks and create a home hub. With live cams, you can see how …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 3, 2024 · pp. 26–32 Read article
-
Web-based Rental Application for Leasing and Renting Daily Utilities
Abstract: This project addresses the challenges posed by a cluttered online marketplace, specifically catering to the everyday needs of our local community. We propose a user-friendly website designed as a one-stop solution for borrowing, renting, and buying a wide range of items. Existing platforms often lack organization, forcing users to navigate multiple channels to find what they need, leading to wasted time and effort. Our website is built to overcome this …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 77–83 Read article
-
Optimized Sentiment Analysis Through TextBlob and Hybrid RNN Models
Abstract: In today’s world, analyzing people’s feelings from what they write online has become very important. This is because there is a large amount of content created by users. To make this analysis accurate and fast, we present a method. This method uses a mix of two approaches: one that looks up words in a dictionary and another that uses computer learning. TextBlob is an affordable tool for getting an initial …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 29–28 Read article
-
Aspect-Based Sentiment Analysis Using a Hybrid Approach with Dependency Parsing
Abstract: The rapid expansion of digital communication has resulted in an unprecedented volume of consumer-generated textual data across online reviews, social media platforms, forums, and e-commerce websites. Extracting meaningful insights from this data is increasingly important for organizations seeking to understand customer opinions, preferences, and behavioral trends. Despite significant advances in sentiment analysis, many existing approaches primarily focus on surface-level features and often overlook deeper syntactic and semantic relationships within text. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 01–09 Read article
-
Enhancing User Engagement and Content Relevance: A Novel Approach to Social Media Post Recommendation System
Abstract: The social media post recommendation system is an innovative solution aimed at optimizing content delivery for users in today's digital age. Its primary motive is to tailor online experiences, ensuring users receive posts most relevant to their preferences. Various machine learning algorithms are employed to suggest related posts. This system leverages advanced algorithms and analytics, producing key results that highlight user engagement metrics and content relevance. Preliminary findings of this …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 2, 2024 · pp. 1–7 Read article
-
A Review of Machine Learning Applications in Web Data Mining
Abstract: The rapid development of Internet technology has resulted in a rapidly changing and intricate digital environment that requires new methods for organizing and evaluating online data. This study examines the use of machine learning (ML) in web data mining, focusing on its ability to extract relevant insights from huge amounts of online data. Web data mining, which is divided into three categories: content mining, structure mining, and use mining, uses …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 1, 2025 · pp. 39–47 Read article
-
An Approach Towards Chatbot Using Speech Recognition
Abstract: Chatbot is software that, rather than facilitating direct interaction with a live human agent, conducts online conversations using text or text-to-speech. It is designed to accurately mimic human behavior during conversation. This paper presents a proposed chat system that dynamically responds to web-based customer queries. Speech recognition is the basis of the artificial intelligence used in the proposed system. The web-based platform provides a large intelligence base to help simulate …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 1, 2024 · pp. 1–5 Read article
-
CakeMeUp App: an E-commerce Solution for a Cake Shop
Abstract: This study introduces CakeMeUp, an innovative Flutter and Firebase-based e-commerce app for cake shop, offering sleek UI, real-time order tracking, secure payments, and cake customization. Integrating RazorPay and ikChatbot enhances functionality. It tackles e-commerce challenges, delivering a scalable platform for seamless online cake ordering. Implementation details, advantages, and key features are explored. CakeMeUp addresses common challenges faced in the e-commerce space by delivering a robust and scalable platform tailored for …
Published in Recent Trends in Programming languages · Vol. 11, Issue 2, 2024 · pp. 24–32 Read article
-
Ayurvedic Referential Recommendation: A Smart Approach to Digital Healthcare
Abstract: Ayurveda stands as one of the most ancient healing systems. It takes a full-circle view of health zooming in on nature’s cures tailoring treatments and tweaking daily habits. But getting your hands on real Ayurvedic treatment can be tough. Not enough pros with the right certs, not to mention the real-deal herbal Things. So here’s a thought: the Ayurveda Medicine and Doctor Finder App. It’s this cool app mash-up of …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 12, Issue 2, 2025 · pp. 31–37 Read article
-
Role-Based Online Food Ordering and Delivery System Using Django and Restful Architecture
Abstract: Traditional food ordering processes in restaurants rely heavily on manual interactions, including in- person ordering, phone-based bookings, and unstructured coordination between customers, restaurants, and delivery personnel. These approaches lead to inefficiencies such as delayed order processing, incorrect order handling, lack of real-time tracking, and poor coordination among stakeholders. Although modern applications exist, many academic implementations lack modular architecture, role-based access control, and scalable backend design. This paper presents the design …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 Read article
-
Sustainability Empowerment through Agricultural Information Hub
Abstract: Abstract A Farmer Information System web application has been developed to assist rural farmers in learning about and utilizing online sales platforms. Through this system, farmers can both purchase and sell their agricultural products, while also accessing valuable information to enhance their productivity. The project's main goal is to establish a website enabling farmers to sell their produce to customers in various cities. This platform serves as an educational resource, …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 2, 2024 · pp. 19–24 Read article
-
Indian Entrepreneurs' Role in E-Commerce
Abstract: The e-commerce industry in India has experienced unprecedented growth as a result of the rapid penetration of the internet, the availability of affordable telephones, and the shifting behaviors of consumers. Using technology, ingenuity, and locally tailored solutions, Indian businesspeople have been at the forefront of this transformation, which has enabled them to serve a massive and varied market. An examination of the ways in which Indian e-commerce firms have triumphed …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 2, 2025 · pp. 01–15 Read article
-
A Study on the Impact of Seasonal Sales on E-Commerce Trends in India: Insights from Amazon and Flipkart
Abstract: This study investigates the growing impact of seasonal sales on e-commerce trends in India, with a particular emphasis on two leading platforms, Amazon and Flipkart. Large-scale events such as the Great Indian Festival and the Big Billion Days have become defining moments in the country’s online retail calendar, creating noticeable shifts in consumer purchasing behavior, sales volumes, and digital marketing approaches. The research examines how heavy discounts, limited-time offers, and …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 3, 2025 · pp. 01–06 Read article
-
Optimized Web-based Online Food Ordering System: Design and Implementation
Abstract: Online food ordering systems have undergone a profound metamorphosis with the advent of digital technologies, catalyzing a pivotal shift in the operational dynamics of the gastronomic sector. This paper elucidates the conceptualization, design, and implementation of an advanced, web-based food ordering system, meticulously engineered to elevate the efficiency and sophistication of food service operations. Employing the rigorously structured Systems Analysis and Design Methodology (SSADM), this system represents a transformative departure …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 2, 2024 · pp. 1–25 Read article
-
Gradient Boosted Regression Tree Approach to Predicting Toxic Interactions on X and YouTube
Abstract: In the digital age, social media platforms play a vital role in facilitating user engagement, encompassing both positive interactions and avenues for negative, often harmful behaviors. Recognizing and addressing toxic exchanges is paramount to nurturing healthy online communities and preserving users’ well-being. This study introduces a novel method for identifying toxic interactions by utilizing Gradient Boosting Regression Trees (GBRT) algorithm, a machine learning approach renowned for its exceptional accuracy and …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 3, 2025 · pp. 7–14 Read article
-
Impact of IoT in Banking Processes
Abstract: The Internet of things (IoT) represents the next phase of the digital world that is expanding rapidly and transforming the lives of customers. While the Internet does not usually extend beyond the electronic world, connected objects represent the extension of internet of things and places with the adaptations of IOT in personalized services like online banking. Contactless payment technologies are demanding convenient and personalized services in IoT base banking application …
Published in International Journal of Mobile Computing Technology · Vol. 1, Issue 1, 2023 · pp. 1–7 Read article
-
Literature Review on Real-Time Dashboard Systems in Healthcare and Education
Abstract: Real-time dashboards are revolutionizing data analysis and visualization within education and healthcare, highlighting the realms of online learning analytics and emergency medicine. Such systems maximize decision-making power, efficiency of workflows, and awareness in real time. The literature review below explores diverse methodologies, benefits, and pitfalls, and presents suggestions for potential avenues for research in the future. Growing access to data and advancements in visualization and analytics technologies have given rise …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 · pp. 01–05 Read article