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335 articles for “user-friendly”
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Diet(Nutrition) Recommender using Machine Learning
Abstract: In an era where maintaining a healthy lifestyle has become a priority, personalized dietary recommendations play a crucial role in guiding individuals towards achieving their nutritional goals. The Diet Recommendation System is an inno- vative application that combines user-specific data with machine learning algorithms to provide tailored dietary suggestions. This system is designed to simplify the process of meal planning and promote healthier eating habits. The Diet Recommendation System is …
Published in International Journal of Nutritions · Vol. 2, Issue 2, 2025 Read article
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Fresh Bazaar Under Online Advertise Proposal on Behalf of Agricultural Food
Abstract: Agriculture plays an important role in people's lives. This provides an adequate food supply for humans. This project deals with the agricultural marketing process of India and Nepal, where farmers live in rural areas and struggle to earn a living despite their hard work from dawn to dusk. In the distribution aspects, traditionally, farmers depend on intermediaries for their production, resulting in reduced income and a limited market. After harvest, …
Published in Recent Trends in Programming languages · Vol. 8, Issue 2, 2021 · pp. 5–10 Read article
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Securix: An Open-Source Security-based Linux Distribution for Novice Cyber Security Enthusiasts
Abstract: In the ever-evolving field of cybersecurity, the need for accessible and user-friendly tools in favor of beginner users has never been greater. The existing ethical hacking-related operating systems, while powerful, often overwhelm beginners with their complexity. The main objective of this project is to bridge the gap by providing an operating system for novice cyber enthusiasts looking to explore the world of ethical hacking and security. The proposed operating system …
Published in Journal of Open Source Developments · Vol. 11, Issue 3, 2024 · pp. 1–6 Read article
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Diabetic Risk Prediction Using Machine Learning
Abstract: The global prevalence of Type 2 diabetes has risen dramatically in recent years, posing a serious public health risk. Long-term risk prediction is an important technique for evaluating who is most likely to develop type 2 diabetes. Early detection and response can lead to better management and prevention of diabetes complications. Developing a user-friendly Windows program for long-term Type 2 diabetes risk prediction could revolutionize preventive healthcare due to technological …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 11–17 Read article
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Adoption of One-Touch Emergency Alert Apps: User Authentication, Simplicity, and Trust for Human Safety
Abstract: Quick reactions to disasters are extremely important to the safety and health of people. Nonetheless, another frequent problem with emergency cases is the time lag between reports of the incidents and the success and timely response of the concerned authorities. Mobile-based emergency alert systems have thus come in as a potential solution to this problem, given that they enable straightforward and direct communication between the citizens and the law enforcement …
Published in International Journal of Mobile Computing Technology · Vol. 4, Issue 1, 2026 · pp. 01–13 Read article
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Virtual Method to Predict Dental Disease
Abstract: The integration of technology and medicine in the healthcare domain has led to the emergence of inventive strategies to improve patient care and diagnostics. One such groundbreaking methodology is the utilization of Convolutional Neural Networks (CNNs) within the domain of deep learning, particularly for image recognition and processing tasks. In this paper, we propose a novel approach to image recognition that employs state-of-the-art deep learning algorithms to create a user-friendly …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 8–15 Read article
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Gesture and Voice Driven Remote Control System
Abstract: The Gesture and Voice Driven Remote Control System represents an innovative technology that empowers users to interact with and control electronic devices through hand movements, voice commands, and sensor integration while also enabling remote access and operation. This system provides an alternative and more accessible means of interaction, ultimately redefining the way we engage with our devices. By interpreting gesturesand voice commands through advanced recognition algorithms and speech recognition, it …
Published in Journal of Nuclear Engineering & Technology · Vol. 13, Issue 3, 2023 · pp. 23–29 Read article
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Interview Preparation System Using AI
Abstract: The automated interview evaluation system leverages artificial intelligence (AI) and natural language processing (NLP) technologies to streamline and enhance the interview process. Through a web-based application built with the Flask framework, the system enables candidates to respond to dynamically loaded interview questions using both text and speech inputs. Questions, managed via a CSV (comma separated values) file for flexibility, are evaluated for similarity to expected answers using the rapid fuzz …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 1, 2025 · pp. 8–13 Read article
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Real-Time Attendance System using Face Recognition Using OpenCV and Firebase Realtime Database
Abstract: The Facial Recognition Attendance System now a days revolutionizes traditional attendance tracking by seamlessly integrating cutting-edge image processing with the capabilities of Firebase Realtime Database. This user-friendly solution simplifies and transforms the attendance management experience. Imagine an intuitive interface utilizing facial recognition technology to effortlessly track attendance. Leveraging advanced face detection algorithms and the enchantment of computer vision, our system ensures accurate face recognition, making each individual unmistakably identifiable. Beyond …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 2, 2026 Read article
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Correlational Analysis of Technostress and Job Productivity of Library Staff in Selected Academic Libraries in Kwara State
Abstract: This study investigated correlational analysis of technostress and job productivity of library staff in selected academic libraries in Kwara State. Descriptive survey research design was adopted and a sample of 53 library staff were selected from Kwara State University Library, Al-hikmah University Library and Crownhill University Library by using total enumeration sampling technique. A structured questionnaire was designed to obtain information from 53 participants, 51 were returned and fully completed. …
Published in Journal of Advancements in Library Sciences · Vol. 9, Issue 2, 2022 · pp. 12–23 Read article
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DC Motor Speed Control Using Arduino & L298N Motor Driver
Abstract: The focus of this project is on developing a DC motor speed controller using an Arduino microcontroller and an L298N motor driver module. The goal is to create a flexible and effective system that can control the speed, direction of a DC motor through PWM signals generated by the Arduino. The project utilizes the Arduino platform for its flexibility, ease of programming, and wide availability of resources, while the L298N …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 3, 2024 · pp. 1–7 Read article
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Smart Infer Hopper: An Infrared Bluetooth Controlled App Based Remote Control for Projector
Abstract: AbstractThe research paper ventures through the control of projector wirelessly with smart phone. Present remotes work on IR based communication. The device to be controlled is considered as a receiver and the remote behaves as a transmitter. In case the remote is lost, the controlling becomes impossible, thus making it difficult for the user to operate the device. In this paper, authors have tried to remove this hardware dependency by …
Published in Journal of Instrumentation Technology & Innovations · Vol. 8, Issue 1, 2018 · pp. 13–20 Read article
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VME Interfacing for SLAVE PCB on FPGA by using VIVADO
Abstract: Abstract: In this paper, we have presented a brief review on VME bus interface. Various studies have revealed that the VME bus is a widely used industrial bus, which is applied in military, industrial, aerospace, communication and control applications. It uses the Euro card format, its high performance, and its versatility are some of the reasons that it appeals to a wide range of users. The designer friendly and user-friendly …
Published in Current Trends in Signal Processing · Vol. 9, Issue 1, 2019 · pp. 26–29 Read article
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IoT-Based Smart Electrical Board Using Google Assistant: An Enhanced Approach
Abstract: The Internet of Things (IoT) has revolutionized home automation by enabling seamless connectivity between smart devices and cloud services. By enabling intelligent and remote control of home systems like lighting, security, and climate control, this integration greatly enhances user control, convenience, and efficiency. The study introduces an improved IoT smart electrical board that can be connected to Google Assistant to enable voice commands for controlling household appliances. By combining modern …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 2, 2025 · pp. 1–5 Read article
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Fuzzy C-Means
Abstract: AbstractFuzzy c-means (FCM) incorporates spatial information into the membership function for clustering and uses it for obtaining the enhanced image. The main aim of the project is to develop a user friendly graphical user interface, manipulate and retrieve the data and run models for routing application in terrain trafficability. In the classification process, first clustering is done which involves grouping similar pixels (or forming clusters) in the test image based …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 3, 2015 · pp. 10–16 Read article
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Inligence Cloud: Cloud-based Financial Analytics Platform
Abstract: Data analysis is an essential aspect of modern research and business decision-making. With the increasing amount of data being generated, the need for efficient and effective data analysis software is becoming more crucial. This software offers a range of features, including data visualization tools, statistical analysis capabilities, and machine learning algorithms. Users can import data from various sources and formats, including spreadsheets, databases, and CSV files. The software’s interface is …
Published in Recent Trends in Parallel Computing · Vol. 10, Issue 1, 2023 · pp. 43–52 Read article
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Secure Snap: Fortifying Image Preservation with a Robust Backup System
Abstract: The importance of implementing a robust backup system lies in preserving critical files against unforeseen events such as system crashes, hardware failures, or natural disasters. Data security plays a pivotal role in safeguarding confidential and vital information. Therefore, it is imperative for backup systems to prioritize security measures. Encryption emerges as a widely adopted method in today's industry to ensure data confidentiality. This project presents a novel computer software that …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 1, 2023 · pp. 17–22 Read article
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Course Recommendation Based on ML
Abstract: Course recommender is a recommender system in which courses are recommended to the users like how your friend might recommend you movie based on his/her experience; similarly, this system recommend courses (mostly students). It is just that in this we recommend based on user data which is in numerical format. Nowadays people are very keen to study more, apart from their chosen stream and they tend to search for other …
Published in Journal of Operating Systems Development & Trends · Vol. 9, Issue 1, 2022 · pp. 22–27 Read article
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Harnessing Hydrolgeological Parametrs: Prediction of Water Probability and Levels for Water Well Construction Using Ai-Enabled Models
Abstract: The AI-Based Decision Support System for Water Well Construction utilizes data from the National Aquifer Mapping and Management System (NAQUIM) and employs advanced AI techniques like regression analysis, decision trees, and neural networks. This system predicts crucial parameters for water well construction, including location suitability, water-bearing zone depths, and groundwater quality. By integrating large datasets such as lithology, geophysical logs, and aquifer maps provided by the Central Ground Water Board …
Published in Journal of Water Resource Engineering and Management · Vol. 12, Issue 1, 2025 · pp. 16–28 Read article
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Smart Motion Detection System using IoT: A NodeMCU and Blynk Framework
Abstract: A motion detector is a device that senses movement and triggers an action, such as turning on a light or sounding an alarm. Usually, motion detectors have been wired into home security systems, but with the advancements in IoT technology, they can now be connected to the internet for remote monitoring and control. This makes it possible to secure our homes and workplaces in a more practical and adaptable manner. …
Published in Journal of Microelectronics and Solid State Devices · Vol. 10, Issue 3, 2023 · pp. 1–8 Read article