All of the articles in this proceedings volume have been presented at the RAISD2025 during 7-8 March 2025 at Jharkhand Rai University, Ranchi, India. These articles have been peer reviewed by the members of the Organizing Committee/Reviewer Committee and approved by the Conveners and the Editor-in-Chief,...

The advancement in the wireless communication technology showcases a substantial interest towards reconfigurable antennas due to their vast applications in different wireless and radar communication systems. Their properties can be adjusted in order to obtain the desired radiation pattern direction,...

Lung cancer continues to rank among the most common and fatal types of cancer worldwide, significantly affecting both patient quality of life and public health. Improving treatment results and survival rates requires early detection and precise diagnosis. In recent years, deep learning algorithms have...

In rapidly urbanizing areas like Ranchi, the capital city of Jharkhand, traffic noise has emerged as a serious health concern. This study explores the impact of traffic noise irritation on Ranchi’s residents using machine learning models. A dataset, including traffic noise levels, psychological responses...

This research explores the development challenges encountered in creating an air hockey-playing robot. The study focused on three key aspects: mallet manipulation, puck detection, and the overall robotic system. In mallet manipulation, issues arose due to motor selection, with the initial servo motors...

Numerous plant diseases have a significant effect on the ecosystem through both qualitative and quantitative losses in crop fields. In today’s technologically advanced world, automation of plant disease detection becomes increasingly crucial as food demand steadily rises. Time limits, expensive expenses,...

Polycystic Ovary Syndrome (PCOS) is a physiological anomaly perturbing a consequential percentage of women of conceiving age. This condition can have symptoms such as abnormal menstrual cycles and ovarian cysts, which can even cause long-term health issues like diabetes, heart diseases and infertility....

This paper presents the Register Transfer Level (RTL) design logic of the vending machine and its implementation on the Field Programmable Gate Array (FPGA) zed board. FPGA technology enables faster processing, reconfigurability, and better resource efficiency for vending control. The FPGA-based approach...

In modern era of advanced communication, Artificial Intelligence (AI) plays a crucial role in enhancing the outcome in various domains including Human Resource Practices that provides smart, intelligent and innovative features in various fields. The application and integration of AI driven strategies...

This work proposes design development of a new Computer Numeric Control (CNC) milling-cum-3D printing hybrid model. The successful prototyping of the machine with CNC Milling and 3D Printing ability may be accessed as a workstation and is viable for limited production. Initially the layout of the machine...

The project aims to design and develop a robot to detect hazards and give response using various sensors and an automated alert system. The robot is equipped with an ESP32-CAM module to capture live video, an MQ2 gas sensor to detect harmful gases, and a DHT11 sensor to monitor temperature and humidity...

The advancement in the field of finance, taking into account predictability and efficiency to a next level expectation, by integration through computer engineering collaboration with artificial intelligence AI techniques is valued may create new pathways for accounting practices in this article, we explore...

The employment sector has been significantly influenced by the Internet’s growth. Nowadays, technology that predicts with human-like accuracy is increasingly popular and aids in resolving the majority of prediction and detection issues. This pay forecasting method is aimed at providing better encouragement...

The Augmented Intelligence emphasizes on collaboration between humans and Artificial Intelligence (AI), considering the guidelines to ensure responsible and ethical use, design and deployment of critical applications that enhance human capabilities with technology induced AI. The use of augmented intelligence...

Product management in e-commerce relies on accurate understanding of product attributes, categories, and presentations to enhance user experiences and streamline workflows. This paper introduces PUMGPT, a specialized large vision-language model (LVLM) designed to address challenges in product understanding...

The rising demand for sustainable urban transportation has led to the growth of Eco-Friendly Vehicle Routing Problems, which aim to minimize environmental impacts while optimizing routing decisions. In smart cities, the integration of hybrid optimization techniques has recognized to be a promising solution...

We commonly use Solomon Benchmark Dataset to study vehicle routing in transport and logistics. In this paper we have extended the Solomon dataset by adding CO₂ emissions, energy use, noise, and distance to focus on eco-friendly transport. The purpose is to make it suitable for smart cities & EVs...

Industrial equipment failures lead to costly downtime and maintenance inefficiencies. This research presents a real-time predictive maintenance system leveraging IoT sensors and machine learning (ML) models for automated fault detection and performance optimization. The system integrates IoT-based sensors,...

The revolutionary potential of Augmented Reality (AR) in education is examined in this study, with a focus on how it might be used to build immersive and interactive learning environments. By fusing digital data with the real environment, augmented reality (AR) creates immersive, interactive experiences....

Integrating Artificial Intelligence (AI) in managing programs and projects changes how decisions are made and risks are handled. This paper looks at how AI technologies are transforming these critical areas, showing how Artificial Intelligence tools improve the accuracy, efficiency & speed of management...

Maithili literature, with its origins traced back to the 7th century AD, represents a vital cultural and linguistic tradition that has evolved through centuries of socio-political and cultural transformations. This paper delves into the comprehensive evolution of Maithili literature, categorizing its...

Climate change is one of the most important discussions that is currently going on globally. The rapid growth of Artificial Intelligence has led to the introduction of both new opportunities and challenges, especially ethical issues, while addressing climate change. The present paper is an attempt to...

The growing global population is intensifying the food security crisis, which is fundamental to a nation’s prosperity and economic progress. The Green Revolution of 1960s significantly boosted agricultural productivity by introducing high yielding varieties and agro-chemicals to combat hunger. However,...

This analysis aims to generate a sample that forecasts the possibility of diabetes in patients with the most elevated accuracy. In the end, four machine learning classification algorithms, applied logistic regression, DT, SVM, and KNN, are utilized in this investigation to catch diabetes in theearliest...

Artificial intelligence (AI) and machine learning (ML) approaches can effectively manage the automated operations of IoT nodes in intelligent cities. Key IoT applications in smart cities include intellectual buildings, waste management, traffic monitoring, and healthcare. However, the design of WSN-based...

Alzheimer’s disease is an irreversible neural disease that causes memory loss over time. In older adults, it is one of the main causes of dementia. As the elderly population grows, memory and physical impairments are becoming more common, creating significant social, financial, and economic impacts....

Recommender systems are extensively utilized across various domains to offer users personalized item suggestions based on their preferences, helping them manage the overwhelming amount of available information. Choosing the right courses when entering a new academic level can be particularly difficult...

In India, the advent of Artificial Intelligence, AI, has ushered a new era of industrial revolution. However, there is a growing concern around its impact on employment. The accelerating development of artificial intelligence is increasingly automating repetitive tasks, potentially resulting in job losses...

Regardless of the type of software system under development, ensuring the delivery of high-quality software within the constraints of time and budget is essential for many software enterprises. The choice of a software process model significantly influences the overall system quality, as fault that go...

The manual queuing system in hospitals creates extensive waiting periods, overcrowding and operational difficulties which leads to subpar medical care for patients with an inefficient hospital operation. This study introduces a complex scheduling system that combines First-Come-First Served (FCFS) and...

The Banking sector is said to be going beyond the so-called traditional branch banking. With the rapid changing technology, banking sector has too adapted the emerging AI. As Customers during the traditional times line up in every branch, excess banking documents, vouchers, and confusions all of which...

Natural language processing (NLP) has come a long way from a basic rule-based system to the sophisticated AI models we use today. The system used to adhere to rigid rules, which worked well for simple tasks but had trouble with the complexity of real-world language. The introduction of machine learning,...

Sustainable Development Goal 4 (SDG 4) emphasizes the need for inclusive, equitable, and quality education for all by 2030, acknowledging education as a vital human right and a central driver of societal development. While progress has been made in increasing access to education, millions of children...

Precision agriculture is experiencing a technological transformation driven by artificial intelligence (AI), the Internet of Things (IoT), and big data analytics. Nonetheless, traditional computation models find it difficult to handle large-scale high-dimensional datasets in agriculture. By utilizing...

Based on Howard Gardner’s hypothesis of multiple intelligences, this study investigates how well artificial intelligence (AI) can support language learning settings. In order to improve the customization and flexibility of language instruction, the study investigates how AI technologies may be used to...

Metaheuristic optimization algorithms are getting very popular for solving tough problems with many goals, like in transport, energy, and healthcare. These algorithms are great for handling tricky situations, especially when different goals clash. This paper talks about the latest progress in these algorithms,...

Market segmentation is critical process in comprehending customer diversity and customizing marketing techniques for better business outcomes. Using ensembled method upon real time dataset, this research work is presenting a robust framework for market segmentation. The main aim is to search for meaningful...

Container technology has transformed cloud computing by allowing lightweight, scalable, and portable applications. Yet, with the rise of containers in multitenant cloud settings, security problems in container scheduling have emerged as a major worry. The emergence of container orchestration platforms...

Artificial Intelligence (AI) is a transformative technology that contributes to the sustainable development of Human Resource Management. This study explores the integration of AI into Sustainable Human Resource Management and its role in achieving organizational goals while promoting inclusivity, efficiency,...

Artificial intelligence, or AI, can impact human resources management in good and bad ways. In the last 20 years, researchers have studied how AI affects workplace results more closely, but there hasn't been a complete review of all this research. A full review is important because: (a) it can help...

This paper presents a detailed performance analysis of silicon solar cells using the SILVACO TCAD software. Silicon, a widely used material in photovoltaic technology, is known for its durability, efficiency, and low maintenance. This simulation utilizes precise mesh generation through similar X and...

In the pursuit of improved cybersecurity, this study assesses the effectiveness of two prominent techniques for machine learning, including Logistic Regression and Random Forest Classifier—in the area of anomaly identification in network data. Strong detection systems are more important than ever as...

As the era of technological improvement and digitalization takes place, the way people do transactions also changes. At the moment, increased attention is paid to the use of artificial intelligence to enhance interaction with the user and protect against actions in electronic payment systems. This work...

Artificial intelligence (AI) has shown immense potential for addressing sustainability challenges, from optimizing energy systems to advancing precision agriculture. However, the opacity of many AI systems undermines trust, accountability, and ethical alignment, limiting their adoption in high-stake...

Entrepreneurial ventures are witnessing a fundamental shift in their talent management practices as Artificial Intelligence (AI) trans-forms traditional Human Resource Management (HRM) approaches. This study presents a systematic review of AI driven HR solutions tailoredfor startups, analyzing their...

Real-time optimization (RTO) is a cornerstone of modern engineering systems, enabling dynamic adjustments to operational conditions for enhanced efficiency, reduced costs, and improved system performance. However, the inherent challenges of RTO, including limited data availability and high computational...

This study investigates the application of AI-driven predictive analytics to optimize inventory management and streamline supply chain operations in the digital era. It explores how machine learning, time series analysis, optimization algorithms, and natural language processing enhance demand forecasting,...

Quantum computing and artificial intelligence (AI) are positioned as groundbreaking tools capable of tackling complexities inherent to modern computation posed by high-dimensional optimization problems. This research presents a quantum-enhanced optimization framework that leverages the QAOA (Quantum...

Duplicate code fragments, known as code clones, are a widespread phenomenon in software development, often causing difficulties in the maintenance and evolution of software systems. Micro-clones refer to short code fragments (i.e., less than five lines in length), which are particularly prevalent in...

Neural networks (NN) are increasingly acknowledged as effective tools for forecasting market trends in sustainable industries, providing the ability to improve decision-making in complex, dynamic environments. This paper provides a review of current research employing NN for forecasting trends in key...

This review investigates the use of connector design sin models for opinion grouping within financial text data, with a specific focus on Securities and Exchange Commission (SEC) filings and analyst reports. We evaluate several connector strategies, including LoRAConfig, UniPELTConfig, and MAMConfig,...

The exponential growth of data in modern systems presents significant challenges for data engineering, requiring innovative approaches to optimize data ingestion, transformation, storage, and quality assurance. This article explores how AI-driven optimization techniques are transforming data engineering...

This paper discusses the development and integration of advanced Application Programming Interfaces (APIs) into EnergyPlus, a widely used building energy simulation software. The APIs, including functional, runtime, and data exchange categories, enable enhanced inter- action with EnergyPlus simulations...

In predictive modeling, systematic errors—often referred to as unknown unknowns—can lead to critical failures, especially when models are overconfident in their incorrect predictions. This paper presents a gamified framework, Beat the Machine (BTM), which incentivizes the identification of such systematic...

Programming languages are the backbone of modern technology, created with unique strengths and purposes behind each one. However, with this diversity, it becomes burdensome for the developers, organizations, or the educators to switch between multiple languages. The translation of code itself is very...

At present, smart phones are the most useful devices used in every dimension of life, such that a significant part of critical digital data associated with forensic investigations is stored in these devices now. The open-source and commercial tools were compared in the context of their effectiveness...