Front-end Development Research Articles

Optimizing Agricultural Labour: An Examination of On-Demand Workforce Solutions for Seasonal Demands

To address the growing challenges in managing on-demand Labour within the agricultural sector, we introduce Agro Finder, an innovative application developed using Figma for design and flutter for frontend development and firebase for backend. This research presents a comprehensive overview of the current state of Labour management in agriculture and proposes Agro Finder as a solution tailored to the sector's unique needs. The app leverages real-time data and sophisticated algorithms to streamline the connection between farmers and Labourers, optimizing Labour allocation based on geographic location, skills, and availability. Further analysis reveals that Agro Finder significantly enhances Labour utilization efficiency, reducing downtime in agricultural operations. The app's intuitive design, supported by Figma, ensures a user-friendly experience, while the fronted, powered by Flutter, provides reliable performance. The integration of these technologies facilitates efficient Labour management, leading to increased productivity and operational efficiency in agriculture. The research findings underscore the potential of applying modern development tools and methodologies to solve traditional problems in agriculture. By harnessing the power of Figma and Flutter, Agro Finder sets a new standard in on- demand Labour management, offering valuable insights and practical solutions. This study provides a solid foundation for future advancements in agricultural Labour management and highlights the importance of technological innovation in enhancing agricultural productivity. Key Words: on-demand Labour, agricultural management, mobile application development, Figma, Flutter, Labour allocation, real-time data processing, Firebase.

Design of an intelligent data analysis platform for pharmaceutical forecasts

This study considers the task to design a data analysis platform with predictive capabilities of neural networks. The object of research is intelligent decision-making systems built on deep learning methods. The proposed intelligent platform takes into account the specificity of working with data in the dynamic and uncertain environment of the pharmaceutical market. Its main purpose is the processing of various data formats, such as time series, regression, classification data sets to create forecasts based on various indicators. At the core of the platform architecture, along with technologies for backend and frontend development (HTML, JS, CSS, C#, .NET), MSSQL Server and TSQL for database management, are AI Microservices (Python, Flask); they are responsible for artificial intelligence services, in particular neural networks. In order to identify the optimal model, which is able to effectively solve regression problems based on the selected indicators, the study analyzed several configurations of neural networks on End-to-end machine learning platforms. Distinctive features of the architecture of the designed data analysis platform include its ability to dynamically switch between different machine learning models based on predefined indicators and criteria such as prediction accuracy and model selection. Improved interpretation of forecasts through the use of Explainable AI enables effective decision-making in the pharmaceutical industry. The functioning of the proposed instrumental decision-making base is demonstrated on the examples of forecasting trends in the consumption of pharmaceuticals by different groups in the pharmaceutical markets of different countries. Automating the model selection and prediction loss minimization process in a comprehensive data analysis platform (CDAP) improves forecast accuracy by approximately 15 % compared to traditional manually selected models.

A novel hybrid CNN-GRU model for website-based user interface code generator

As software engineering techniques evolve, conventional methods become less efficient due to prolonged development cycles and repetitive tasks. There is a growing need for automated systems that can incorporate User Interface (UI) designs into code. This study proposes a novel Hybrid CNN-GRU model for automatically generate website-based UI codes from UI design images. The proposed method consists of a visual model and a language-decoder part. The visual model employs pretrained CNN models, including EfficientNetV2B0, Xception, and EfficientNetV2M, to extract features from images, whereas a GRU serves as the language model and decoder. An empirical study was conducted to evaluate the effectiveness of various hybrid CNN-GRU approaches for generating UI codes. The EfficientNetV2B0 GRU model demonstrated the fastest training time, whereas the Xception GRU model was the most robust for various data complexities. The results of this study will advance the field of automated code generation, simplify the front-end development process, and shorten the time and effort necessitated for UI code implementations.

A Study of the Influence Mechanism of Digital Technology Affordance on the Disruptive Innovation of Enterprises

In the context of increasingly fierce global competition, utilizing digital technology to realize disruptive innovation is an effective way for enterprises to gain access to the mainstream market and form long-term competitive advantages. From the perspective of affordance, this study classifies digital technology affordance into cumulative affordance and variant affordance and explores the influence mechanism of digital technology affordance on enterprise disruptive innovation according to three core innovation phases: “fuzzy front-end–development–commercialization”. Based on 241 data points from different industries and types of enterprises, this empirical study found that (1) cumulative affordance and variant affordance have a significant positive impact on disruptive innovation and its “fuzzy front-end—development—commercialization” phases; (2) dynamic capabilities play a mediating role between digital technology affordance and disruptive innovation; and (3) the three aspects of dynamic capabilities—sensing, seizing, and reconfiguring—are greatly enhanced by cumulative affordance and variable affordance. These findings contribute to the research on the relationship between digital technology affordance and disruptive innovation and provide a micro-level perspective on how firms realize disruptive innovation through digital technology affordance.

The future of software development: integrating AI and machine learning into front-end technologies

This paper explores the integration of artificial intelligence (AI) and machine learning into front-end development, highlighting the transformative potential these technologies hold for the future of software development. By automating routine tasks, enhancing predictive capabilities, and improving user engagement, AI and machine learning are set to revolutionize how digital applications are created and experienced. However, this integration is accompanied by significant technical challenges, including the complexity of AI systems, performance concerns, and ethical issues such as data privacy and bias. The paper also discusses current applications and emerging trends in AI-powered front-end technologies, providing a comprehensive overview of the benefits and obstacles. It emphasizes the importance of ongoing research, innovation, and ethical considerations in maintaining the U.S. tech sector's competitive edge in this rapidly evolving field. The findings suggest that while AI and machine learning offer substantial opportunities for innovation, careful implementation is essential to ensure these technologies contribute positively to the future of software development.

Web Application for Recommendation of Ayurvedic Drugs and Medicine using ML

This project aims to develop a comprehensive Ayurvedic drug recommendation website that seamlessly integrates traditional Ayurvedic principles with modern technology. The platform will cater to both students seeking educational resources and practitioners offering personalized healthcare guidance. The website's key features include drug prediction algorithms, herbal drug recommendations based on individualized assessments on symptoms, and a user-friendly interface. The initial phase involves meticulous planning, scoping, and research to define project objectives, target audiences, and select an appropriate technology stack. Subsequent weeks focus on design and prototyping, incorporating user feedback to ensure an intuitive and engaging interface. The front-end development phase emphasizes responsiveness and usability, while the back-end development integrates sophisticated algorithms for drug prediction and drug recommendation. User authentication and authorization mechanisms will be implemented to cater to both students and practitioners, ensuring a secure and personalized experience. The website's robustness and reliability will be validated through comprehensive testing, addressing any identified issues to guarantee a seamless user experience. The refinement and optimization phase involve continuous feedback collection, iterative improvements, and performance optimization. Beta testing will be conducted to gather user insights, refining the platform further. The deployment and launch process will involve hosting the website on a reliable platform, setting up monitoring tools, and officially releasing the Ayurvedic drug prediction and drug recommendation website to the public. This project combines the rich heritage of Ayurveda with cutting-edge technology, offering a valuable resource for education and healthcare in the Ayurvedic domain. The website aims to empower both students and practitioners with accurate drug predictions and personalized drug recommendations based on symptoms, fostering a holistic approach to healthcare that aligns with traditional Ayurvedic principle.

Js.React و Js.Nبنية واجهات الويب الحديثة باستخدام

Before the advent of modern web development technologies, full-stack developers were the norm, handling both front-end and back-end aspects of applications. However, the current landscape has seen a separation of concerns, allowing front-end developers to focus solely on user interface elements like display and animation. This specialization has led to the rise of technologies like the React.js library. While React.js excels in client-side rendering, implementing server-side rendering requires the Next.js framework. This React framework offers a plethora of features, making it ideal for building the front-end of applications for University of Zawia (UZ)'s website and control panel applications. This study delves into the advantages and disadvantages of both React.js and Next.js as core technologies for UZ web application development. It aims to provide a comprehensive overview of the front-end development process and highlight the strengths and weaknesses of these technologies in shaping the user interface of the UZ application.

A Keypad-Based Mobile App Security Alert System with Virtual Private Network and Short Message Service Integration

In the digital age, mobile devices are integral to daily life, making robust security measures essential for protecting sensitive data. This paper presents the development of a mobile application aimed at enhancing personal security through a keypad-based authentication system, integrated with Short Message Service (SMS) and Virtual Private Network (VPN) functionalities. The intuitive interface of keypads allows users to swiftly send predefined emergency messages with a single keystroke, including their current location and urgency details. The application ensures encrypted and secure communication via a VPN and leverages SMS for reliable real-time notifications, even in areas with limited connectivity. A user-centered design approach, utilizing React JS for frontend development and Bootstrap for a responsive UI, ensures accessibility and ease of use for individuals with varying levels of technological proficiency. Rigorous testing validates the application's functionality and performance, demonstrating its potential to streamline emergency communication and enhance personal security in critical situations.

FetalAI: A deep learning web-based application for predicting birthweight from prenatal ultrasound measurements

FetalAI is a web-based application that utilizes a longitudinal learning procedure that integrates data augmentation and deep learning as back-end, with a purpose of predicting an newborn’s projected birthweights and the associated risks of excessive fetal growth conditions, including large-for-gestational-age (LGA) and macrosomia. This article provides an end-to-end overview of FetalAI’s development process, which includes data sourcing and preprocessing, back-end model design and training, application output interpretation, and user interactions. We begin by describing the original training data sources and their mathematical structures. We then outline the data engineering pipeline that acquires and pre-processes user input. After data sourcing and pre-processing, we provide details on the back-end model, which applies mixed-effects models for data augmentation and pre-trained recurrent neural networks (RNNs) to forecast birthweight sequences. After back-end, we discuss the front-end development of FetalAI, with an emphasis on creating the graphical user interface (GUI) using Streamlit and the application’s ability to handle corner cases and anomalous inputs. Our article concludes by highlighting the key functionalities and potential use cases of FetalAI, as well as outlining future directions for research and development in this domain. FetalAI represents a significant step forward in the application of deep learning techniques to improve prenatal care and support clinical decision-making.

Design and Implementation in Frontend Development of the PLN UP3 Yogyakarta SIBER Project with Tailwind and Bootstrap

Design and Implementation in Frontend Development of the PLN UP3 Yogyakarta SIBER Project with Tailwind and Bootstrap

The Decentralized Non-Fungible Token Exchange with Secure Connections

During the COVID-19 outbreak, due to the lockdown, all museums and galleries were closed for more than a year. So, the buying and selling of physical arts have dropped. This project aims to overcome this challenge by developing a decentralized application called Decentralized NFT Exchange. The decentralized non-fungible token (NFT)exchange includes features such as secure wallet connections, NFT creations, buying, selling, and profile management. The back-end of the decentralized NFT exchange is implemented using Solidity-based smart contracts, while InterPlanetary File System (IPFS)is used for decentralized storage. Front-end development of decentralized NFT exchange is implemented using React JSX and framework web3.js that helps developers connect to the Ethereum network. Decentralized NFT can help art creators sell their artworks using a smart contract system where the ownership of the work will become the property of the new owner with proof of a digital certificate. The project demonstrates the practical application of blockchain technology in developing decentralized applications (DApps)for secure and decentralized digital asset management. Overall, Decentralized NFT might be a solution for the copyright of work in the future and the project contributes to secure and decentralized digital asset management

E-BLOOD BANK MONITORING

Abstract— The E-Blood Bank Monitoring system represents an innovative approach to modernizing the management and distribution of blood and blood products. Traditional blood bank operations face significant challenges, including inefficient inventory management, poor traceability, limited accessibility to real-time data, and difficulties in maintaining a responsive donor base. This research explores the development and implementation of an E-Blood Bank Monitoring system that leverages advanced technologies such as the Internet of Things (IoT), blockchain, and web/mobile applications to address these issues. The primary objective of the E-Blood Bank Monitoring system is to enhance the efficiency, transparency, and reliability of blood bank operations by integrating modern technologies. Specifically, the system aims to improve inventory management through real-time tracking of blood units, ensure end-to-end traceability using blockchain technology, and provide stakeholders with real-time access to data on blood availability. Additionally, it seeks to optimize donor management to maintain an active donor base, ensure the quality and safety of blood through IoT-monitored storage conditions, and facilitate quick responses to urgent blood needs. Index Term- Frontend development : HTML ,CSS,JavaScript , Backend development React , Database management PHP / MySQL.

E-LIBRARY SYSTEM

Abstract- This research paper explores the transformative role of electronic libraries (e-libraries) in modernizing access to information and enhancing user experiences. With the proliferation of digital technologies, traditional libraries are increasingly embracing digital platforms to expand their reach and services. Through a comprehensive literature review and empirical analysis, this study investigates the key factors influencing the adoption and utilization of e-libraries by both patrons and library professionals The research delves into the technological infrastructure, usability features, and content diversity offered by e-libraries, examining how these factors contribute to improved accessibility and user satisfaction. Additionally, the paper explores the challenges and opportunities associated with the transition from physical to digital library environments, including issues related to digital literacy, privacy concerns, and digital rights management .furthermore, the study investigates the impact of e-libraries on information-seeking behaviors, learning outcomes, and community engagement. By analyzing user feedback, usage statistics, and qualitative data, the research aims to identify best practices and recommendations for optimizing e-library services to better meet the diverse needs of patrons. Index Terms – Frontend development HTML ,CSS,JavaScript ,Backend development Java , Database management MySQL

INNOVATIONS IN SCHOOL ROOM RESERVATION MANAGEMENT: TOWARDS SMART AND SUSTAINABLE SOLUTIONS

Abstract The efficient management of school room reservations is crucial for maximizing resource utilization and ensuring smooth operations within educational institutions. Traditional room reservation systems often suffer from inefficiencies, leading to underutilization of spaces, scheduling conflicts, and increased administrative burden. This research paper explores the development and implementation of smart and sustainable solutions for school room reservation management. The suggested approach makes use of contemporary technologies to expedite the classroom reservation process, giving teachers, administrators, and students effective means of scheduling and overseeing room reservations. The technology has significantly improved classroom utilization rates and overall operational efficiency in our institution, according to preliminary tests. The school room reservation system provides a scalable solution for improving the management of educational facilities by lowering scheduling conflicts, minimizing downtime between courses, and enabling better resource allocation. Future improvements could incorporate support for mobile platforms, integrate with current school management systems, and introduce new capabilities in response to user feedback and changing needs. In general, the establishment of this school room reservation system is a step toward the modernization of facilities management procedures in academic establishments, which will ultimately lead to the creation of a more efficient and cooperative learning environment. Index Term : Frontend development HTML, CSS, React, Backend NodeJS, Express, MongoDB

Design and Implementation of a Digital Notice Board and Forum Discussion System

Abstract— This research paper explores the development of an educational management system leveraging modern web technologies such as React.js for frontend development, Node.js for backend implementation, and MongoDB for database management. The system comprises two main modules: notice board and forum discussion. A Notice Board and Forum Discussion system for schools serves as a centralized platform for disseminating important information and fostering communication among students, teachers, and parents. This system provides a virtual notice board where announcements, reminders, and event schedules can be posted, ensuring that all stakeholders stay informed in real-time. Additionally, it features a forum discussion section where users can engage in academic discourse, seek clarification on topics, and collaborate on projects. By facilitating seamless communication and collaboration, this system enhances the educational experience within the school community, promoting active participation and knowledge sharing. IndexTerms – Web-Based Application, Notice Creation, Forum Creation and , Forum having comment option using MERN Stack.

Parent–Teacher Meetings and Student Outcomes: curriculum and PTA meet

ABSTRACT— This study examines the vital functions that efficient Parent-Teacher Association (PTA) meetings and a well-organized curriculum have in the educational ecology. The syllabus acts as a thorough manual that describes the goals of the course, the required readings, the timetable, the grading guidelines, and classroom behaviour. This helps parents and students understand what is expected of them. This paper provides a visible roadmap of the course and shows how a thorough syllabus improves academic performance, accountability, and student participation through systematic review and analysis. This article also explores the dynamics of PTA meetings, which serve as an essential forum for parents, educators, and school administration to communicate and work together. PTA meetings that are successful have well-planned agendas, open forums that promote engaged participation, and productive discussion. Through an analysis of case studies and best practices, the study shows how frequent and well-run PTA meetings help with problem-solving, school initiative support, and creating a sense of community within the school. The synergistic effect produced by integrating PTA meetings with the curriculum improves educational outcomes. The report ends with recommendations for improving PTA meeting formats and syllabus design in order to promote a more welcoming and encouraging learning environment. The research hopes to give educators and school administrators useful insights to enhance parent-teacher interaction and student success through these recommendations. INDEX TEARMS – Frontend development HTML, CSS, JavaScript, Backend development React, Database management PHP / MySQL, ChatGPT.

CANTEEN MANAGEMENT SYSTEM

ABSTRACT— An educational canteen management system’s abstract describes the main features and goals of the program. Usually, it contains the following important details: Introduction: Provides a brief overview of the system’s goals and the role it plays in effectively overseeing the school canteen’s operations. Objectives: Describes the primary aims of the system, including expediting food delivery, strengthening order processing, inventory management, and streamlining canteen operations. Features: Lists the system’s primary features, which could include: Online ordering: Using a mobile app or the internet, staff and students can order food. Menu management: Makes it simple for canteen employees to add new items, change menus, and establish prices.. INDEX TEARMS- Frontend development HTML, CSS, JavaScript react js , Backend development React, Database Mongodb Canteen Management Software, Menu Planning, Accounting, Feedback System Chatgpt.

HEALET-PATH TO WELLNESS

Abstract— In This research paper explores Healet, a platform designed to promote wellness and improve mental health. Healet integrates various tools and techniques to assist individuals in their journey towards better well-being. Through this platform, users can access resources such as guided meditation, stress management techniques, exercise routines, and personalized wellness plans.The paper investigates the effectiveness of Healet in enhancing mental health outcomes, particularly in reducing stress, anxiety, and depression. It examines user satisfaction with the platform and its impact on daily life functioning. Additionally, the research explores the accessibility and usability of Healet across different demographics. Through surveys, interviews, and usage data analysis, the study aims to provide insights into the strengths and limitations of Healet as a wellness resource. It also discusses potential areas for improvement and future directions for research and development in the field of digital mental health interventions. Index Term : Frontend development HTML, CSS, React, Backend NodeJS, Express, MongoDB

Creating and Evaluating School Exams with Marks Obtained

Abstract— This research paper explores the development of an educational management system leveraging modern web technologies such as React.js for frontend development, Node.js for backend implementation, and MongoDB for database management. The system comprises two main modules: exam creation and result display. The primary focus is on designing a user-friendly interface for teachers to create exams and for students to access their results. Additionally, a leaderboard feature is integrated to showcase students’ rankings based on their performance. This paper discusses the technical architecture, research objectives, and the significance of this system in enhancing educational administration. The module is developed using the MERN stack technology. The ultimate goal of this module is to make the educational system more efficient for both teachers and students. Keywords – Educational Management System, Modern Web Technologies, Exam Creation, Technical Architecture, MERN Stack.

Client state management using backend for frontend pattern architecture in B2B segment.

The article considers an architectural pattern Backend for Frontend (BFF) for developing web systems using microservice approaches. The main purpose of this article is to research aspects that existing solutions like WunderGraph cannot provide and propose a solution that enables client state management using the backend for Frontend pattern architecture specifically tailored for the B2B segment's requirements in Frontend development. During current research, there is defined a concept of API Provider Factory, Public API Gateway, Client State Management and proposes ways for their implementation. Methods of research are based on modeling, analysis, comparing, experiment, and abstracting.