All of the articles in this proceedings volume have been presented at the International Conference on Recent Advancement and Modernization in Sustainable Intelligent Technologies & Applications (RAMSITA-2025) during February, 7,8, 2025in Indore, MP, India. These articles have been peer reviewed by...

Infected plants have a great deal of impact on any country’s economy. Normally, farmers and agricultural professionals keep a keen eye on these crops for detection of this disease. However, this process is often time-consuming, very tedious and almost imperfect. The growth of plants and their well-being...

The existing literature does not show enough research studies on dairy milk supply chain. The research work investigates the nature of factors that affect raw milk procurement in a dairy supply chain; the factors have been gathered from the existing literature. The natures of a total ten factors have...

Web scraping software automates the extraction of vast amounts of data from websites, streamlining the tedious manual process of copying and pasting information into spreadsheets or other storage formats. For instance, collecting content from websites like Politifact.com manually would require hiring...

In the modern digital era, YouTube comments are not only words, but they show the sentiments of the viewers with lots of insights. This paper uses YouTube API to analyze comments and extract valued information about viewer sentiments. The present study helps content creators, marketers, and decision-makers...

An e-commerce web site is very much effective for visitors to buy on-line shopping achieving a high conversion rate which added a new explosion in the business sector. People tend to explore online for finding the items they need and buy in real time. For this companies use different machine learning...

Unsolicited mass sms or fraudulent sms delivered to people or organisations are known as spam. To prevent data breaches and invasions of privacy, spam texts must be recognized and eliminated. Scholars are consistently investigating machine learning approaches and strategies to efficiently distinguish...

This study examines the tactile education system for individuals with visual impairments, with a particular focus on the Indian context. It evaluates existing frameworks and resources for education, highlighting both advancements and gaps in tactile and sensory-based learning approaches. The analysis...

In this paper we provide results of performance comparison of handwritten digit recognition and complex image classification. We used TensorFlow and PyTorch digital libraries to obtain results. The datasets used were CIFAR-10, MNIST, and EMNIST. The parameters like training time, detection time, resource...

Over time, relational databases remain an important part of today’s statistics management notwithstanding the need to maximize efficiency in order to improve its rate of data retrieval. This review looks at ten influential papers that explore various aspects to do with performance enhancements. We discuss...

Developing a precise model for Hall effect using experimental statistics is crucial for managing, simulating, and optimizing Hall coefficient of Hall effect devices. In this work, two powerful optimization techniques such as Flower Pollination Algorithm (FPA) and Cuckoo Search Optimization (CSO) are...

An emerging area of research examines the experiences and contributions of neurodiverse individuals, particularly those with autism spectrum conditions, in educational and workplace environments. This study synthesizes findings across studies to elucidate key aspects of including Neurodiversity in organizations....

Accurate traffic congestion forecasting is an indispensable element of urban transport systems. This paper suggests a machine learning model to predict rush-hour traffic congestion using a newly defined Traffic Congestion Index (M_TCI), incorporating traffic density as a crucial factor for congestion...

Rain streaks in outdoor images are a challenging problem for computer vision applications, including but not limited to autonomous driving, surveillance video monitoring, and remote sensing. Streaks in the image tend to reduce its quality and, as a result, can affect identifying, tracking, and determining...

This paper aims at discussing the roles of accurate and efficient diagnosis of brain tumors in enhancing patient diagnostic results and treatment plans. Magnetic Resonance Imaging (MRI) plays a significant role in the diagnosis of brain tumors because of high-resolution imaging of the brain region. But...

Understanding plant varieties, ecosystem health, and agricultural methods are made easier with the help of flower categorisation, which is essential to botanical study, environmental monitoring, and agriculture. The effectiveness of automating flower classification has been greatly attributed to recent...

CNN demonstrated significant potential in lung cancer recognition and identification through the analysis of medical imaging data. This abstract shows brief of the progress, challenges, and future application of CNN in this domain. CNNs have shown remarkable capabilities in accurately identifying lung...

This study presents a comparative analysis of three popular clustering algorithms, DBSCAN and KMeans, Agglomerative Clustering applied to geospatial data. We focus on their performance based on the silhouette score, examining their ability to identify meaningful clusters in noisy data. Our results show...

The problem of ensuring the authenticity of visual content is becoming much more pressing in such a rapid proliferation of digital media, when image forgery techniques become ever more sophisticated, more reliable methods for achieving this are required. This paper discusses a holistic approach to detecting...

Rice crops in India face significant threats from diseases caused by bacteria, fungi, and other pathogens, which lead to considerable crop losses. Traditional methods for detecting these diseases rely on manual inspections, which are time-consuming, prone to errors, and require expert knowledge. Given...

Forensic investigations rely on precise estimations of the Post-Mortem Interval (PMI). Conventional approaches that rely on external factors to determine decomposition accuracy—such as body temperature, livor mortis, and rigor mortis—are notoriously flawed. This research explores the use of machine learning...

Agriculture plays a crucial role in the economy, yet traditional irrigation systems often demonstrate inefficiencies in water usage and control. For centuries, conventional agriculture has been a cornerstone of development globally. This research introduces a novel approach utilizing machine learning...

This study examines the role of Artificial Intelligence (AI) in enhancing customer service, with a particular focus on personalized services and post-sales support in the banking sector. The research is centered on AU Bank’s branches in Indore, India, utilizing a mixed-methods approach. A quantitative...

Determining how to improve machine learning’s predictive accuracy has led to notable developments in ensemble learning techniques. In order to solve prediction problems in a variety of datasets, this study, “Boosting Accuracy: Advanced Ensemble Learning Strategies,” explores and applies cutting-edge...

Cardiovascular disease remains one of the top causes of morbidity and mortality around the globe, with a growing requirement for innovative non-invasive diagnostic tools. Most established methods of diagnosis suffer from the drawbacks of invasiveness, costliness, and limited access to different settings,...

Human Activity Recognition (HAR) technology, which is focused on identifying and analyzing human activities, has gained significant interest in recent years. Traditional approaches have employed manually designed features to identify human activities, leading to limited feature extraction. Neural network...

The number of obese individuals has risen to alarming levels throughout the world and today obesity can be considered an illness that causes numerous diseases such as diabetes, cancer and heart disease. Effective Obesity classification can help in early detection of the disease and better planning of...

Recommender systems are a popular research area broadly applied, from e-commerce to e-learning systems. The paper presents a hybrid approach to recommender systems that leverages user reviews, clustering, and sentiment analysis to enhance recommendation accuracy. Traditional models primarily rely on...

Theobroma cacao L., commonly known as cocoa, is a plantation crop of significant economic value, renowned for its dried fruits. The high market demand for cocoa is not negatively correlated with its low production output. The high prevalence and quick spread of illness is the main problem in cocoa farms....

Yoga pose estimation is important for fitness, healthcare, and rehabilitation applications, existing models such as AlexNet, VGG, and ResNet cannot accurately recognize detailed key points or handle complex postures. To tackle these issues, this paper presents an improved mask R-CNN with better feature...

Helpdesks occupy a strategic position in managing customer relations in today’s organizations. Managing the caller primarily is very important in reducing call time to maximize customer satisfaction. The fields of natural language processing (NLP) house sentiment analysis as a sub-discipline, and the...

Emotions play a vital role in human existence as they reflect an individual’s internal state. Currently, emotion recognition is extensively employed to obtain automated feedback from individuals. Among the various methods available, facial expression recognition is considered the most effective means...

Weather prediction plays a central role in the welfare of the society and daily economic activities. Accurate conventional NWP methods are currently widely employed but are associated with constraint in managing the non-linearity of the ambiance. This paper focuses on realizing the potential of supervised...

In this paper, rice plant leaf image classification has been discussed to develop a decision support model for Indian farmers. In this context, first an architecture of the proposed decision support model has been explained. Next the required components of the proposed model are discussed. Additionally,...

The increasing reliance on cloud-hosted AI models creates new challenges in protecting one’s IP since these are irreplaceable corporate assets created through massive investments involving data, research, and expertise. This paper will present some significant strategies for protecting AI models in a...

Precise effort prediction in Agile settings where needs often shift, is a big hurdle due to a lack of trustworthy data tools and dependence on past project know-how. Due to this, poor guesses and project failures may happen. To address this issue, we have created Agilator, an expert system to bridge...

The timetable generation process is a critical component of educational institutions, characterized by its inherent complexity and NP-hard nature due to a multitude of constraints. This paper provides a comprehensive comparative analysis of various methods employed in timetable generation, with a particular...

Plant leaf disease detection plays a critical role in ensuring healthy crop yields and preventing severe damage caused by plant diseases. Traditional diagnostic methods, however, are often time-consuming and complex, requiring laboratory practices. In contrast, Artificial Intelligence (AI), particularly...

Communicating with individuals with hearing disabilities poses significant challenges. The research presented in this paper represents an effort to further explore the complexities associated with character classification in Indian Sign Language (ISL). It’s important to note that sign language alone...

Change detecting in Synthetic Aperture Radar (SAR) satellite images has garnered significant attention for its applications in urban planning, disaster management, and environmental monitoring. SAR’s ability to operate under all weather and lighting conditions makes it indispensable for monitoring dynamic...

Emotion recognition has been a fast-emerging field in artificial intelligence. It has applications in the healthcare sector, human-computer interaction, and behavioral studies. Feature selection is vital in improving the accuracy and efficiency of classifiers in this field, especially for high-dimensional...

Because of the impactful picture editing instruments, images are available to a few controls; in this manner, their genuineness is becoming problematic particularly when pictures have compelling power, for instance, in an official courtroom, news articles, as well as protection rights. Image forensic...

Destination Forecasting and Recommendation encompasses the projection of user-favored travel locales predicated on historical data, individual preferences, and prevailing trends, succeeded by the provision of customized recommendations aimed at optimizing travel arrangements. While current methodologies...

Art and music, two dateless forms of expression, have been deeply intertwined in mortal culture. Our design seeks to combine these two art forms using Generative Adversarial Networks (GANs) and Natural Language Processing (NLP) to produce artwork that visually encapsulates the overall sense and meaning...

Smart Agriculture 4.0 is focused on accuracy in crop disease diagnosis and classification through the use of the latest advances to revolutionize the way farming is done. This study thus presents a robust framework that makes use of AI tools to enhance agricultural output and minimize losses. This method...

The traditional job interview process faces scalability, availability, and consistency challenges. As a job aspirant in the volatile job market of 2024, I identified the need to create systems that make this process more efficient and consistent for all parties involved, organizations, and candidates....

Emotional well-being is quite much a significant human resource, which certainly boosts productivity, creativity as well as sustainability. As natural resources get conserved and sometimes preserved, emotional resilience would have to be preserved too against burnout and disaffection from society. One...

The fusion of Gaming in wellness or healthcare with Digital Therapeutics (DTx) is emerging in today’s world. The problem statement captures the game-changing potential to merging gaming and DTx to offer or enhance innovative solutions for personal health. DTx is a software-based treatment or intervention...

With the population of animals and humans cultivating rates of crops and plants are increasing. Thus, demand also increases. The science of agriculture innovates several techniques to improve the cultivating sector to improve production. When it comes to production there is harvesting losses are considered....

As the Internet of Things (IoT) environment keeps growing, there is a rising demand for middleware solution that can help in connecting devices in a way that is both efficient and reliable. Due to the diverse nature and capabilities of IoT devices and their usage in complex data exchange, middleware...

The integration of Internet of Things (IoT) technologies has opened new avenues for enhancing agricultural productivity by allowing real-time monitoring, fact-based decision-making, and automation. Nevertheless, most of the existing IoT-based systems rely on expensive hardware and advanced technologies,...

The Donation Box is an idea wherein an automated and safe donation system has been developed using Internet of Things (IoT). IoT refers to devices connected over the internet that enable them to collect and share data. On this system, the user can donate food, grocery, or money using an LCD with three...

The Internet of Things provides efficient and affordable solutions to everyday problems, improving human life quality. In addition, having a safe and secure environment is life-sustaining for all. The concept of a ‘smart home’ has grown in popularity in recent years. A smart home is a set of issues like...

Both positive and negative experiences are common in robotics. The twenty-first century has entered the era of robotics. The promise of fresh possibilities has long been associated with robots. In the modern world, robots are becoming more and more prevalent in many facets of society, including transportation,...

Software development is a complicated process that is critical to improving technology and promoting business innovation. Project management methodologies, team dynamics, stakeholder participation, technical innovations, and organizational context all impact success. Despite high standards in these areas,...

Haptic rendering is essential for developing immersive virtual environments and providing tactile feedback using computational techniques. This study assesses five haptic rendering techniques multiresolution, image-based, edge detection, Fourier transform, and height map utilizing a varied dataset of...

The need to protect the integrity and authenticity of medicines is essential in this sector, namely for public health. There are many challenges in the traditional supply chains with counterfeit drugs, data manipulation and lack of transparency being a few. We propose a solution to achieve secure medicine...

Biomedicine is still attempting to overcome one of the profession’s most pressing problems: detecting brain tumors. Early detection of brain cancer is possible with advanced technology or instruments. Classifying brain cancer types utilizing patent brain images allows for automation in automated operations....

In the modern era of communication, different people with different temperaments are using chat applications for chatting. In today’s digital age, chat applications must address issues such as misunderstandings, distractions, the receiver’s mood/feeling, voice-to-text conversion, graceful conversation...

The overall objective of the study is to understand the current status of blockchain applications and evaluate their ability to satisfy the growing demand for blockchain knowledge in the applications industry. In order to determine which would be the superior option in each situation, it also evaluated...

Climate change is a serious concern for all living beings and states. The Right to life and the Right to development are both integral for human beings. Development in technology is a necessity but it also raises concerns for its impact on the environment. Handling, recycling, and reusing e-waste has...

The space exploration has seen a rapid boost in the past years because of the swift advancement of technology. This has resulted in the congestion of the most used orbits i.e. “Low Earth Orbit and Geostationary Orbit” with satellites. The paper relies upon secondary data and has analyzed space debris...

Many students’ classes had to be moved online due to the global pandemic of 2020, and many teachers started teaching online without much to no preparation for best practices. The customization of educating children was harmed, and teachers soon found that it was hard to engage and communicate with kids....

Fire detection is a critical component in ensuring the safety of smart cities, where timely and accurate identification of fire incidents can prevent widespread damage. In this context, this work provides a sustainable and updated fire detection system for smart cities utilizing ResNet101V2 for feature...

This study examines the design of shape-based analog computing (S-AC) circuits using a margin-propagation-based analog computing circuit. The Scaling of the circuit with digital designs S-AC designs are precision, speed, and power. For the implementation of the S-AC circuits mathematical functions are...

An abrupt drop in the electrical system’s voltage, known as voltage sag, can be caused by a number of factors, including overloading, line outages, load changes, and system faults. Power system voltage sag can affect the sensitive equipment, cause downtime in specific industries, etc. The 400V supply...

Smart systems, including IoT devices and biometric authentication platforms performance, depend on internal memory architecture for its high-speed, low-power operation and reliable data storage. As modern CMOS technology advances, minimizing leakage current and ensuring data retention have become critical...

The prevalence of motorcycle accidents and the dire consequences of inadequate helmet usage underscore the imperative need for innovative safety measures. This research explores the development and integration of a Smart Helmet Ignition System, aiming to revolutionize motorcycle safety through technology-driven...

The environment suffers greatly from industrial pollution, which emits harmful gases such as sulfur dioxide and carbon monoxide. These emissions lead to the formation of smog, acid rain, and global warming, besides adversely affecting the respiratory system. In comparison, the high concentration of carbon...

Cloud computing has transformed traditional IT infrastructure, offering dynamic, configurable resources on demand. On the other hand, it brings unique cybersecurity challenges, particularly in protecting sensitive data from unauthorized access. Traditional single factor authentication does not address...

Investigating how network slicing affects resource allocation and management, the paper explores methods for optimizing network resources in response to current demand and traffic trends. The effect of network slicing on Quality of Service (QoS) measurements is also examined, along with the ways in which...

In these days of smart technology, the use of internet-connected devices has increased dramatically. This has led to a sharp rise in online activity. The necessity to manage a single server with several clients, which might lead to denial of service (DoS) assaults, restricted service availability, and...

SQL injection and Cross-Site Scripting (XSS) have emerged as significant security vulnerabilities in contemporary web applications, eclipsing buffer overflow weaknesses, as indicated by recent vulnerability and exploit reports. Both SQL injection and XSS exemplify a broader category of input validation...

Security is a major concern for business applications. With the intertwined dependencies of various security measures to secure an enterprise application, security must be included in the development process since its inception, i.e. from requirements gathering till the operation of the software. Various...

In the age of digitization, Cyber-attacks significantly affect the world. Lots of resources and the economy are compromised due to cyberattacks. Predictions of cyber attacks enable us to handle the attack at the appropriate time, which can save money and resources. This paper surveys the different methodologies...

With the rapid rise in social media usage, platforms such as X(Twitter), Instagram and Facebook have become prevalent spaces for online interaction. These platforms allow users to share different forms of media such as text, image, video, etc. However, these platforms have also become a hotspot for harmful...

Digital world provides platforms to people at large scale to share their updates, opinions publically. Various social media platforms, online messaging forums and applications are channels to spread digital hate through Cyberbullying, hate speech etc. in native languages. Cyberbullying detection is one...

Many Indian languages can trace their ancestry back to Sanskrit, the oldest language known to man. It is essential to represent information in a native language since the linguistically divided population is adjusting to new technologies. This has prompted several forms of study in the field of natural...

Word sense disambiguation (WSD) in the biomedical domain is a composite task that involves establishing correct meaning of a word based on its explicit context within biomedical literature. Biomedicine literature, constitutes research papers, clinical reports, electronic health records, and pharmaceutical...

Automatic answer evaluation is a challenging and efficient approach for answer extraction from a text corpus. In this paper, we describe the method of automatic answer extraction using keyword matching. The pre-processing to the answer involves lowering the case and splitting it into words, and then...

User-generated contents drive social media platforms. Users share heterogeneous data types, i.e., text, image, and video. Among them, a significant amount of data has been posted in image format. Therefore, analyzing and classifying social media-based images have many essential applications. In this...

Biomedical question-answering systems typically involve retrieving relevant documents and then reranking them based on their relevance to the query. Traditional sparse retrievers, like BM25 often fail to capture semantic relationships. While the dense retrievers address these limitations, they can also...

In recent years, NoSQL databases have become essential for delivering Big data web services. As memory capacities increase, there is a heightened focus on In-memory NoSQL (IM-NoSQL) systems, which use dynamic random-access memory (DRAM) to enable minimal latency. However, because DRAM is volatile, IM-NoSQL...

The Question Answering system provides relevant answers or information to user queries. In the online examination system, the system checks the answers with the model answers and generates the result. The system rejects responses based on synonyms and instead verifies the result based on keyword matching....

Glaucoma is a degenerative eye illness that, if left untreated, may result in permanent vision loss and blindness. If you have glaucoma, see your eye doctor often. Because early identification and treatment are essential in maintaining one’s eyesight, research into more accurate and effective detection...

This study reviews a machine learning model applied to log files that creates entity and relationship patterns to be used in fault detection. Fault detection is an important part of integration testing when software project development is ongoing, and it could be integrated into a continuous testing...