IJETA is a registered independent Organization, a unit of Eighth Sense Research Groups and CSIR delivering supports and (ISSN 2393-9516(Online)) is approved by National Science Library (NSL), National Institute of Science Communication And Information Resources (NISCAIR), Council of Scientific and Industrial Research, New Delhi, India. IJETA services to education professionals and researchers around world, especially those from the developing countries. IJETA is a leading international online journal for publication of new ideas founded by engineers, academicians and corporate people. IJETA have prestigious academic journal “etc. The research results and fundamental advances are all aspects of computer science trends & technology and various engineering discipline. IJETA is a scholarly open access Online Journal which helps to academic person as well as student community. IJETA provides the academic community and industry for the submission of original research and applications related to Computer Science and
Analytical chemical reactions are a very vigorous interdisciplinary field, in which concepts math... more Analytical chemical reactions are a very vigorous interdisciplinary field, in which concepts mathematical techniques and numbers are applied to a large diversity of phenomena in medicine and bioengineering. The theory of ordinary differential equations is a fundamental field of mathematics with many applications in chemistry, biology, medicine and bioengineering. Many chemical reactions can be described quantitatively by ordinary differential equations. In this article we have presented some applications of ordinary differential equations in analytical chemistry. An extremely functional principle used in modeling chemical reactions has proven to be the principle of mass conservation. All the models presented are solved analytically, using different integration techniques specific to ordinary differential equations. By proper interpretation, the models presented to have a broad range of applications in chemistry.
Base isolators offer a groundbreaking approach to mitigating earthquake damage to buildings and i... more Base isolators offer a groundbreaking approach to mitigating earthquake damage to buildings and infrastructure. Unlike traditional seismic design, which relies on heavy reinforcements, base isolators dynamically separate buildings from ground motion. This study examines the impact of base isolators on regular and irregular buildings in high-seismic zones of India through numerical simulations. It evaluates seismic strength by analyzing acceleration, displacement, and structural response, revealing significant differences in behavior between regular and irregular structures. The potential benefits of incorporating base isolators in seismic-resistant design practices are also assessed. The study models four structures: two regular and two irregular, with one of each type using base isolators. By comparing analysis data, the study concludes the effectiveness of base isolators in controlling deformation.
Enhancing structural resilience in high-seismic regions like India is crucial. Earthquakes pose s... more Enhancing structural resilience in high-seismic regions like India is crucial. Earthquakes pose significant threats to buildings, necessitating innovative solutions like base isolation, which reduces structural damage by decoupling the superstructure from ground vibrations. This study highlights the importance of base isolators in India's diverse architectural landscape, focusing on both regular and irregular structures to improve performance, reduce vulnerability, and promote sustainable development. Highrise buildings, with their unique challenges due to height and mass distribution, benefit from advancements in seismic design and retrofitting. Implementing base isolation in high-rises requires careful consideration of stability and performance factors. This study reviews recent research on base isolation in high-rises, identifying key findings and gaps, including long-term performance, maintenance, and cost-effectiveness. Additionally, it examines the interaction between base isolators and other structural components, emphasizing the need for comprehensive design guidelines. By reviewing various seismic mitigation strategies, this research aims to enhance high-rise resilience and ensure safer urban environments.
In high-rise buildings, bracing systems are crucial for maintaining structural integrity against ... more In high-rise buildings, bracing systems are crucial for maintaining structural integrity against seismic forces, wind pressures, and gravity. Positioned strategically within the building frame, bracings resist lateral forces, minimize sway, and enhance stability and occupant comfort. They distribute lateral loads efficiently, reducing the risk of structural failure during extreme events, particularly in seismic or high-wind regions. Additionally, bracings provide vertical support and reinforcement, especially in structures with irregular configurations or complex load distributions. They transfer loads between different building levels, maintaining equilibrium and preventing excessive deflection or deformation. Integrating bracings into high-rise buildings is essential for superior performance, durability, and aesthetic appeal, ensuring occupant safety and satisfaction. This study evaluates the impact of X-brace placement on the seismic performance of G+20 buildings using response spectrum analysis. Through numerical simulations, various X-brace configurations are analyzed, comparing scenarios from bare frames without X-braces to those with X-braces in two distinct positions.
This study conducts a comparative analysis of GFRG (Glass Fiber Reinforced Gypsum) panels and Rei... more This study conducts a comparative analysis of GFRG (Glass Fiber Reinforced Gypsum) panels and Reinforced Concrete (RCC) regarding their structural performance in multi-storey buildings, employing ETABS software. GFRG panels are increasingly recognized as a sustainable and cost-effective substitute for traditional RCC construction materials. The analysis evaluates critical structural parameters including load-bearing capacity, seismic resilience, and overall stability across diverse design scenarios. Through simulations in ETABS, the study contrasts the behavior of buildings constructed with GFRG panels versus RCC, highlighting respective advantages and limitations. The findings provide insights into the feasibility and performance characteristics of GFRG panels in contemporary construction methods, with implications for sustainable building design and structural engineering practices.
In This research presents an automated approach for classifying renal health conditions using med... more In This research presents an automated approach for classifying renal health conditions using medical images. The study targets four classes: "Normal," "Cyst," "Stone," and "Tumor," using a diverse dataset. The methodology includes image preprocessing, feature extraction via Gray Level Co-occurrence Matrix (GLCM), and image classification using Convolutional Neural Networks (CNN). Initial processing involves thresholding, contour detection, and segmentation, followed by denoising, resizing, and filtering to enhance image quality. Data augmentation techniques, such as data normalization and ImageDataGenerator, introduce diversity for training. GLCM is used to extract texture features, which are combined with original images to train the CNN model. The CNN architecture, comprising convolutional and pooling layers, learns hierarchical features from the images. Data augmentation is applied exclusively to image data to improve generalization. The experimental results show that the proposed method accurately classifies renal images into the specified categories, achieving competitive accuracy rates. The model's performance is evaluated using confusion matrices, specificity, and sensitivity metrics. This research advances medical image processing and classification, offering a robust automated solution for renal health assessment. The findings highlight the potential of combining advanced image processing techniques with deep learning for enhanced accuracy in medical image classification, laying the groundwork for further research in automated renal diagnostics..
Salesforce is a type of cloud-based customer relationship management (CRM) platform that provides... more Salesforce is a type of cloud-based customer relationship management (CRM) platform that provides connectivity to the customer and business for improving profitability. There are many CRM providers platform like-Hub-spot Sales Hub, ZOHO CRM, Fresh sales, SAP Sales Cloud, MICROSOFT DYNAMICS 365 Sales but the difference between the SALESFORCE CRM and other CRM IS Salesforce provides scalability and customization, comprehensive ecosystem, industry-specific solution, innovation and AI, mobile accessibility these differences make salesforce as a position of leader in CRM based industry, providing business with a powerful tool for managing customer or client relationship to business to their sales to grow the business of any person effectively.
In the stock market, it is very difficult to predict share prices because there are no fixed pred... more In the stock market, it is very difficult to predict share prices because there are no fixed prediction rules, but it gives one of the higher incomes in the market. Although inherently unpredictable, stock prices and other statistical aspects can be imagined to help keen investors carefully choose which companies to invest their earnings in. This simple project data dash library (python) allows us to make live graphs of the financial data of a given company using the tabular data provided by the yfinance-python library. To begin with, we can use a machine learning algorithm to predict future stock prices. The main purpo se of this review is to observe studies that use model direction prediction accuracy (also known as hit ratio) or model performance as a benchmark, as other measures of prediction error-namely mean absolute deviation (MAD), root mean square. error (RMSE), mean absolute error (MAE) and mean squared error (MSE)-have been rejected due to the claim that they cannot really show how useful the forecasting model is in terms of economic utility (i.e. in practice).
Zoho CRM empowers businesses to manage customer interactions and drive growth. This cloud-based p... more Zoho CRM empowers businesses to manage customer interactions and drive growth. This cloud-based platform centralizes customer data, simplifies sales pipelines, and offers basic marketing automation, even in its free plan. Zoho CRM enhances customer service with a 360-degree customer view and improves team productivity with its mobile app. Affordable, userfriendly, and scalable, Zoho CRM is a compelling solution for businesses of all sizes seeking to strengthen customer relationships and achieve success.
The web development technology is characterized by relentless innovation and rapid evolution. Thi... more The web development technology is characterized by relentless innovation and rapid evolution. This research explores the landscape dynamic nature of this field, investigating the myriad factors driving change and the implications for developers, businesses, and society. Through a historical lens, we trace the evolution of web development from its nascent stages to the present, identifying key technological advancements. We see the frameworks, libraries, automation tools, and emerging paradigms such as responsive design, API-driven development, and microservices architecture in accelerating the pace of development This research contributes to a deeper understanding of speed change in web development technology and its profound impact on the digital ecosystem. I.
Chat Messenger was created with the mind set to not just be another chat application but to add a... more Chat Messenger was created with the mind set to not just be another chat application but to add a level of clean UI (user interface) or a solid app structure function over a secure broadcast network. Chat Messenger is an effort for a more modern approach to internet security on a communication medium. The design of the UI (user interface) was greatly influenced by the already existing Chat Applications so as to give its users a fresh but familiar UI (user interface) design. The Implementation of Chat Messenger was based on a new but effective set up of flutter, firebase, where Java was for the app structure and UI (user interface) tool, firebase for the central network database. An end-to-end connection stream was used for data transfer from client to server and back to client. In conclusion the application worked well without a lag and having a 95% acceptance when tested with a potential user.
The "Online E-commerce System" was created to overcome the issues present in the already in use m... more The "Online E-commerce System" was created to overcome the issues present in the already in use manual system. The difficulties our current system faces are supported by this program, which aims to eliminate and, in some circumstances, lessen them. Additionally, this system is created to meet the specific requirements of the business to conduct operations efficiently and effectively. The application is kept as simple as possible to reduce data entry errors. Additionally, it displays an error notice when you enter invalid data. The user doesn't require any formal training to use this system. This alone demonstrates that it is userfriendly. The aforementioned online e-commerce system can result in an error-free, safe, dependable, and quick management system. Instead of focusing on record keeping, it can help the user focus on their other activities. As a result, it will aid organisations in making better use of their resources. No matter how big or small the company, there are obstacles to be addressed when handling information about the item category, men, women, and children, delivery addresses, and orders. We create unique employee management systems that are tailored to your managerial needs because every online e-commerce business has different food needs. This is intended to aid with strategic planning and will help you make sure that your company has the appropriate amount of knowledge and information for your future objectives. Additionally, our systems provide remote access features that will let you manage your workforce whenever you want, anywhere. This is great for executives who are constantly on the go and are busy.
The rapid advancement of technology has revolutionized the automotive industry, with a particular... more The rapid advancement of technology has revolutionized the automotive industry, with a particular focus on enhancing road safety through Advanced Driving Assistance Systems (ADAS). This comprehensive review explores the multi-faceted landscape of ADAS, encompassing the underlying technologies , diverse applications, benefits, challenges, and future prospects. The paper delves into the intricate web of sensors, communication systems, and data processing mechanisms that constitute the backbone of ADAS. Various types of ADAS, such as Collision Avoidance Systems, Lane Departure Warning, Adaptive Cruise Control, and Parking Assistance, are examined in detail, shedding light on their individual contributions to overall road safety. The benefits of ADAS, including a significant reduction in accidents, improved traffic flow, and enhanced driver comfort, are thoroughly analyzed. Despite these merits, the research also addresses challenges such as reliability, cybersecurity, and potential human factors that may impact the effectiveness of ADAS. Case studies provide real-world insights into the successful implementation of ADAS and highlight notable incidents that have shaped the technology's trajectory. The regulatory landscape surrounding ADAS is explored, offering a glimpse into current standards and potential future developments. The paper concludes with an examination of emerging technologies, the integration of ADAS with autonomous driving systems, and the ethical considerations surrounding their widespread adoption. This research aims to provide a holistic understanding of ADAS, offering valuable insights for policymakers, industry professionals, and researchers alike.
The primary motivation behind developing an automated method for gender and age detection in huma... more The primary motivation behind developing an automated method for gender and age detection in humans stems from its crucial role in pattern recognition and computer vision. Beyond age and facial emotion detection, it holds significance in various applications within computer vision, particularly in non-verbal communication methods such as facial expressions and hand gestures, which are integral to human-computer interaction. While considerable research has successfully advanced computer modeling of age, gender, and emotions, it still lags behind the capabilities of the human vision system. In this project, we propose an architecture for age and gender classification utilizing Convolutional Neural Networks (CNNs). Our model demonstrates superior accuracy in both age and gender detection compared to other classifier-based methods. Additionally, for modeling human emotions, we aim to predict emotions using deep CNNs to enhance future marketing strategies. We employ the Viola-Jones pre-processing algorithm to extract features from images, which are then fed as input to the CNN. The results of the detection process are presented to the user through a well-designed user interface.
This paper explores the field of Natural Language Processing (NLP) and its significant impact on ... more This paper explores the field of Natural Language Processing (NLP) and its significant impact on humancomputer interaction. NLP, a subfield of artificial intelligence (AI), focuses on enabling computers to understand, interpret, and generate human language in a meaningful way. The paper begins by discussing the evolution of NLP, from early rule-based systems to modern machine learning approaches. It then delves into key NLP techniques such as text analysis, sentiment analysis, and information extraction, highlighting their applications across various domains including healthcare, finance, and social media. Furthermore, the paper examines the challenges and advancements in NLP, including the rise of deep learning models and the integration of NLP into voice assistants and chatbots. Through a comprehensive analysis of NLP's capabilities and limitations, this paper underscores the transformative potential of NLP in revolutionizing communication and information processing in the digital age.
Smart Healthcare is important for people who need continuous monitoring which cannot be provided ... more Smart Healthcare is important for people who need continuous monitoring which cannot be provided outside hospitals. It is also important at rural areas or villages where nearby clinics can be in touch with city hospitals about their patient's health condition. This work presents a smart health monitoring system that uses biomedical sensors to check patient's condition and uses internet to inform the concerned. The biomedical sensors here are connected to Arduino UNO controller to read the data which is in turn interfaced to an LCD display/serial monitor to see the output. Data is uploaded to the server to store and converted it into JSON link for visualizing it on a Smartphone. An android application has been designed in order to easily see the patient's information by their doctors and family members.
Metaverse has emerged as a new norm of social networks. It aims to provide personalized experienc... more Metaverse has emerged as a new norm of social networks. It aims to provide personalized experiences to the users by making use of the relevant technologies. The purpose of this research is to understand the role of blockchain in the metaverse which could be better understood by emphasizing the application of blockchainenabling technologies in the metaverse. The information for this research has been collected using qualitative and secondary research. This has helped to gain useful insights into the impact of blockchain-enabling technologies in the metaverse.
In recent years, there has been a growing interest in leveraging both generative and retrieval-ba... more In recent years, there has been a growing interest in leveraging both generative and retrieval-based methods to enhance natural language processing tasks. One such approach, known as Retrieval Augmented Generation (RAG), combines the strengths of these two paradigms to achieve superior performance in tasks such as question answering, summarization, and dialogue generation. This paper provides an overview of the RAG framework, detailing its architecture, training methodologies, and applications across various domains. We discuss the theoretical underpinnings of RAG, including its ability to leverage large-scale pre-trained language models and retrieve relevant context from external knowledge sources. Furthermore, we survey recent advancements and challenges in RAG research, including strategies for efficient retrieval, fine-tuning techniques, and evaluation metrics. Finally, we highlight potential future directions for RAG, including its integration into real-world applications and its implications for the broader field of natural language understanding. Through this comprehensive examination, we aim to provide researchers and practitioners with a deeper understanding of RAG and its implications for advancing the state-of-the-art in natural language processing.
Product quality control is important to the business, but outdated processes hinder efficiency. T... more Product quality control is important to the business, but outdated processes hinder efficiency. This work addresses this challenge by introducing a new inventory management system (IMS) that includes automation, data analysis, and forecasting capabilities. IMS is designed to help organizations manage inventory, forecast demand, and optimize inventory to achieve sustainable growth.
Agriculture is a means of survival. Machine learning (ML) and deep learning (DL) have the potenti... more Agriculture is a means of survival. Machine learning (ML) and deep learning (DL) have the potential to provide a real-world operational solution to yield issues. Given the current manual counting system, climate-friendly alternatives are needed. The results acquired through pest control and satellite images are not entirely reliable. The main focus of this research is on using machine learning approaches to predict yields. Here, the classifier model comprises logistic regression, naive Bayes, and random forest, with random forest delivering the highest accuracy. Farmers can use machine learning algorithms to predict crop yield by taking into account factors such as temperature, rainfall, and area. This bridges the gap between technology and the agricultural sector.
Analytical chemical reactions are a very vigorous interdisciplinary field, in which concepts math... more Analytical chemical reactions are a very vigorous interdisciplinary field, in which concepts mathematical techniques and numbers are applied to a large diversity of phenomena in medicine and bioengineering. The theory of ordinary differential equations is a fundamental field of mathematics with many applications in chemistry, biology, medicine and bioengineering. Many chemical reactions can be described quantitatively by ordinary differential equations. In this article we have presented some applications of ordinary differential equations in analytical chemistry. An extremely functional principle used in modeling chemical reactions has proven to be the principle of mass conservation. All the models presented are solved analytically, using different integration techniques specific to ordinary differential equations. By proper interpretation, the models presented to have a broad range of applications in chemistry.
Base isolators offer a groundbreaking approach to mitigating earthquake damage to buildings and i... more Base isolators offer a groundbreaking approach to mitigating earthquake damage to buildings and infrastructure. Unlike traditional seismic design, which relies on heavy reinforcements, base isolators dynamically separate buildings from ground motion. This study examines the impact of base isolators on regular and irregular buildings in high-seismic zones of India through numerical simulations. It evaluates seismic strength by analyzing acceleration, displacement, and structural response, revealing significant differences in behavior between regular and irregular structures. The potential benefits of incorporating base isolators in seismic-resistant design practices are also assessed. The study models four structures: two regular and two irregular, with one of each type using base isolators. By comparing analysis data, the study concludes the effectiveness of base isolators in controlling deformation.
Enhancing structural resilience in high-seismic regions like India is crucial. Earthquakes pose s... more Enhancing structural resilience in high-seismic regions like India is crucial. Earthquakes pose significant threats to buildings, necessitating innovative solutions like base isolation, which reduces structural damage by decoupling the superstructure from ground vibrations. This study highlights the importance of base isolators in India's diverse architectural landscape, focusing on both regular and irregular structures to improve performance, reduce vulnerability, and promote sustainable development. Highrise buildings, with their unique challenges due to height and mass distribution, benefit from advancements in seismic design and retrofitting. Implementing base isolation in high-rises requires careful consideration of stability and performance factors. This study reviews recent research on base isolation in high-rises, identifying key findings and gaps, including long-term performance, maintenance, and cost-effectiveness. Additionally, it examines the interaction between base isolators and other structural components, emphasizing the need for comprehensive design guidelines. By reviewing various seismic mitigation strategies, this research aims to enhance high-rise resilience and ensure safer urban environments.
In high-rise buildings, bracing systems are crucial for maintaining structural integrity against ... more In high-rise buildings, bracing systems are crucial for maintaining structural integrity against seismic forces, wind pressures, and gravity. Positioned strategically within the building frame, bracings resist lateral forces, minimize sway, and enhance stability and occupant comfort. They distribute lateral loads efficiently, reducing the risk of structural failure during extreme events, particularly in seismic or high-wind regions. Additionally, bracings provide vertical support and reinforcement, especially in structures with irregular configurations or complex load distributions. They transfer loads between different building levels, maintaining equilibrium and preventing excessive deflection or deformation. Integrating bracings into high-rise buildings is essential for superior performance, durability, and aesthetic appeal, ensuring occupant safety and satisfaction. This study evaluates the impact of X-brace placement on the seismic performance of G+20 buildings using response spectrum analysis. Through numerical simulations, various X-brace configurations are analyzed, comparing scenarios from bare frames without X-braces to those with X-braces in two distinct positions.
This study conducts a comparative analysis of GFRG (Glass Fiber Reinforced Gypsum) panels and Rei... more This study conducts a comparative analysis of GFRG (Glass Fiber Reinforced Gypsum) panels and Reinforced Concrete (RCC) regarding their structural performance in multi-storey buildings, employing ETABS software. GFRG panels are increasingly recognized as a sustainable and cost-effective substitute for traditional RCC construction materials. The analysis evaluates critical structural parameters including load-bearing capacity, seismic resilience, and overall stability across diverse design scenarios. Through simulations in ETABS, the study contrasts the behavior of buildings constructed with GFRG panels versus RCC, highlighting respective advantages and limitations. The findings provide insights into the feasibility and performance characteristics of GFRG panels in contemporary construction methods, with implications for sustainable building design and structural engineering practices.
In This research presents an automated approach for classifying renal health conditions using med... more In This research presents an automated approach for classifying renal health conditions using medical images. The study targets four classes: "Normal," "Cyst," "Stone," and "Tumor," using a diverse dataset. The methodology includes image preprocessing, feature extraction via Gray Level Co-occurrence Matrix (GLCM), and image classification using Convolutional Neural Networks (CNN). Initial processing involves thresholding, contour detection, and segmentation, followed by denoising, resizing, and filtering to enhance image quality. Data augmentation techniques, such as data normalization and ImageDataGenerator, introduce diversity for training. GLCM is used to extract texture features, which are combined with original images to train the CNN model. The CNN architecture, comprising convolutional and pooling layers, learns hierarchical features from the images. Data augmentation is applied exclusively to image data to improve generalization. The experimental results show that the proposed method accurately classifies renal images into the specified categories, achieving competitive accuracy rates. The model's performance is evaluated using confusion matrices, specificity, and sensitivity metrics. This research advances medical image processing and classification, offering a robust automated solution for renal health assessment. The findings highlight the potential of combining advanced image processing techniques with deep learning for enhanced accuracy in medical image classification, laying the groundwork for further research in automated renal diagnostics..
Salesforce is a type of cloud-based customer relationship management (CRM) platform that provides... more Salesforce is a type of cloud-based customer relationship management (CRM) platform that provides connectivity to the customer and business for improving profitability. There are many CRM providers platform like-Hub-spot Sales Hub, ZOHO CRM, Fresh sales, SAP Sales Cloud, MICROSOFT DYNAMICS 365 Sales but the difference between the SALESFORCE CRM and other CRM IS Salesforce provides scalability and customization, comprehensive ecosystem, industry-specific solution, innovation and AI, mobile accessibility these differences make salesforce as a position of leader in CRM based industry, providing business with a powerful tool for managing customer or client relationship to business to their sales to grow the business of any person effectively.
In the stock market, it is very difficult to predict share prices because there are no fixed pred... more In the stock market, it is very difficult to predict share prices because there are no fixed prediction rules, but it gives one of the higher incomes in the market. Although inherently unpredictable, stock prices and other statistical aspects can be imagined to help keen investors carefully choose which companies to invest their earnings in. This simple project data dash library (python) allows us to make live graphs of the financial data of a given company using the tabular data provided by the yfinance-python library. To begin with, we can use a machine learning algorithm to predict future stock prices. The main purpo se of this review is to observe studies that use model direction prediction accuracy (also known as hit ratio) or model performance as a benchmark, as other measures of prediction error-namely mean absolute deviation (MAD), root mean square. error (RMSE), mean absolute error (MAE) and mean squared error (MSE)-have been rejected due to the claim that they cannot really show how useful the forecasting model is in terms of economic utility (i.e. in practice).
Zoho CRM empowers businesses to manage customer interactions and drive growth. This cloud-based p... more Zoho CRM empowers businesses to manage customer interactions and drive growth. This cloud-based platform centralizes customer data, simplifies sales pipelines, and offers basic marketing automation, even in its free plan. Zoho CRM enhances customer service with a 360-degree customer view and improves team productivity with its mobile app. Affordable, userfriendly, and scalable, Zoho CRM is a compelling solution for businesses of all sizes seeking to strengthen customer relationships and achieve success.
The web development technology is characterized by relentless innovation and rapid evolution. Thi... more The web development technology is characterized by relentless innovation and rapid evolution. This research explores the landscape dynamic nature of this field, investigating the myriad factors driving change and the implications for developers, businesses, and society. Through a historical lens, we trace the evolution of web development from its nascent stages to the present, identifying key technological advancements. We see the frameworks, libraries, automation tools, and emerging paradigms such as responsive design, API-driven development, and microservices architecture in accelerating the pace of development This research contributes to a deeper understanding of speed change in web development technology and its profound impact on the digital ecosystem. I.
Chat Messenger was created with the mind set to not just be another chat application but to add a... more Chat Messenger was created with the mind set to not just be another chat application but to add a level of clean UI (user interface) or a solid app structure function over a secure broadcast network. Chat Messenger is an effort for a more modern approach to internet security on a communication medium. The design of the UI (user interface) was greatly influenced by the already existing Chat Applications so as to give its users a fresh but familiar UI (user interface) design. The Implementation of Chat Messenger was based on a new but effective set up of flutter, firebase, where Java was for the app structure and UI (user interface) tool, firebase for the central network database. An end-to-end connection stream was used for data transfer from client to server and back to client. In conclusion the application worked well without a lag and having a 95% acceptance when tested with a potential user.
The "Online E-commerce System" was created to overcome the issues present in the already in use m... more The "Online E-commerce System" was created to overcome the issues present in the already in use manual system. The difficulties our current system faces are supported by this program, which aims to eliminate and, in some circumstances, lessen them. Additionally, this system is created to meet the specific requirements of the business to conduct operations efficiently and effectively. The application is kept as simple as possible to reduce data entry errors. Additionally, it displays an error notice when you enter invalid data. The user doesn't require any formal training to use this system. This alone demonstrates that it is userfriendly. The aforementioned online e-commerce system can result in an error-free, safe, dependable, and quick management system. Instead of focusing on record keeping, it can help the user focus on their other activities. As a result, it will aid organisations in making better use of their resources. No matter how big or small the company, there are obstacles to be addressed when handling information about the item category, men, women, and children, delivery addresses, and orders. We create unique employee management systems that are tailored to your managerial needs because every online e-commerce business has different food needs. This is intended to aid with strategic planning and will help you make sure that your company has the appropriate amount of knowledge and information for your future objectives. Additionally, our systems provide remote access features that will let you manage your workforce whenever you want, anywhere. This is great for executives who are constantly on the go and are busy.
The rapid advancement of technology has revolutionized the automotive industry, with a particular... more The rapid advancement of technology has revolutionized the automotive industry, with a particular focus on enhancing road safety through Advanced Driving Assistance Systems (ADAS). This comprehensive review explores the multi-faceted landscape of ADAS, encompassing the underlying technologies , diverse applications, benefits, challenges, and future prospects. The paper delves into the intricate web of sensors, communication systems, and data processing mechanisms that constitute the backbone of ADAS. Various types of ADAS, such as Collision Avoidance Systems, Lane Departure Warning, Adaptive Cruise Control, and Parking Assistance, are examined in detail, shedding light on their individual contributions to overall road safety. The benefits of ADAS, including a significant reduction in accidents, improved traffic flow, and enhanced driver comfort, are thoroughly analyzed. Despite these merits, the research also addresses challenges such as reliability, cybersecurity, and potential human factors that may impact the effectiveness of ADAS. Case studies provide real-world insights into the successful implementation of ADAS and highlight notable incidents that have shaped the technology's trajectory. The regulatory landscape surrounding ADAS is explored, offering a glimpse into current standards and potential future developments. The paper concludes with an examination of emerging technologies, the integration of ADAS with autonomous driving systems, and the ethical considerations surrounding their widespread adoption. This research aims to provide a holistic understanding of ADAS, offering valuable insights for policymakers, industry professionals, and researchers alike.
The primary motivation behind developing an automated method for gender and age detection in huma... more The primary motivation behind developing an automated method for gender and age detection in humans stems from its crucial role in pattern recognition and computer vision. Beyond age and facial emotion detection, it holds significance in various applications within computer vision, particularly in non-verbal communication methods such as facial expressions and hand gestures, which are integral to human-computer interaction. While considerable research has successfully advanced computer modeling of age, gender, and emotions, it still lags behind the capabilities of the human vision system. In this project, we propose an architecture for age and gender classification utilizing Convolutional Neural Networks (CNNs). Our model demonstrates superior accuracy in both age and gender detection compared to other classifier-based methods. Additionally, for modeling human emotions, we aim to predict emotions using deep CNNs to enhance future marketing strategies. We employ the Viola-Jones pre-processing algorithm to extract features from images, which are then fed as input to the CNN. The results of the detection process are presented to the user through a well-designed user interface.
This paper explores the field of Natural Language Processing (NLP) and its significant impact on ... more This paper explores the field of Natural Language Processing (NLP) and its significant impact on humancomputer interaction. NLP, a subfield of artificial intelligence (AI), focuses on enabling computers to understand, interpret, and generate human language in a meaningful way. The paper begins by discussing the evolution of NLP, from early rule-based systems to modern machine learning approaches. It then delves into key NLP techniques such as text analysis, sentiment analysis, and information extraction, highlighting their applications across various domains including healthcare, finance, and social media. Furthermore, the paper examines the challenges and advancements in NLP, including the rise of deep learning models and the integration of NLP into voice assistants and chatbots. Through a comprehensive analysis of NLP's capabilities and limitations, this paper underscores the transformative potential of NLP in revolutionizing communication and information processing in the digital age.
Smart Healthcare is important for people who need continuous monitoring which cannot be provided ... more Smart Healthcare is important for people who need continuous monitoring which cannot be provided outside hospitals. It is also important at rural areas or villages where nearby clinics can be in touch with city hospitals about their patient's health condition. This work presents a smart health monitoring system that uses biomedical sensors to check patient's condition and uses internet to inform the concerned. The biomedical sensors here are connected to Arduino UNO controller to read the data which is in turn interfaced to an LCD display/serial monitor to see the output. Data is uploaded to the server to store and converted it into JSON link for visualizing it on a Smartphone. An android application has been designed in order to easily see the patient's information by their doctors and family members.
Metaverse has emerged as a new norm of social networks. It aims to provide personalized experienc... more Metaverse has emerged as a new norm of social networks. It aims to provide personalized experiences to the users by making use of the relevant technologies. The purpose of this research is to understand the role of blockchain in the metaverse which could be better understood by emphasizing the application of blockchainenabling technologies in the metaverse. The information for this research has been collected using qualitative and secondary research. This has helped to gain useful insights into the impact of blockchain-enabling technologies in the metaverse.
In recent years, there has been a growing interest in leveraging both generative and retrieval-ba... more In recent years, there has been a growing interest in leveraging both generative and retrieval-based methods to enhance natural language processing tasks. One such approach, known as Retrieval Augmented Generation (RAG), combines the strengths of these two paradigms to achieve superior performance in tasks such as question answering, summarization, and dialogue generation. This paper provides an overview of the RAG framework, detailing its architecture, training methodologies, and applications across various domains. We discuss the theoretical underpinnings of RAG, including its ability to leverage large-scale pre-trained language models and retrieve relevant context from external knowledge sources. Furthermore, we survey recent advancements and challenges in RAG research, including strategies for efficient retrieval, fine-tuning techniques, and evaluation metrics. Finally, we highlight potential future directions for RAG, including its integration into real-world applications and its implications for the broader field of natural language understanding. Through this comprehensive examination, we aim to provide researchers and practitioners with a deeper understanding of RAG and its implications for advancing the state-of-the-art in natural language processing.
Product quality control is important to the business, but outdated processes hinder efficiency. T... more Product quality control is important to the business, but outdated processes hinder efficiency. This work addresses this challenge by introducing a new inventory management system (IMS) that includes automation, data analysis, and forecasting capabilities. IMS is designed to help organizations manage inventory, forecast demand, and optimize inventory to achieve sustainable growth.
Agriculture is a means of survival. Machine learning (ML) and deep learning (DL) have the potenti... more Agriculture is a means of survival. Machine learning (ML) and deep learning (DL) have the potential to provide a real-world operational solution to yield issues. Given the current manual counting system, climate-friendly alternatives are needed. The results acquired through pest control and satellite images are not entirely reliable. The main focus of this research is on using machine learning approaches to predict yields. Here, the classifier model comprises logistic regression, naive Bayes, and random forest, with random forest delivering the highest accuracy. Farmers can use machine learning algorithms to predict crop yield by taking into account factors such as temperature, rainfall, and area. This bridges the gap between technology and the agricultural sector.
Uploads
Papers by IJETA [Best Peer Review Open Access Journal ] -Group of ESRG journals
While considerable research has successfully advanced computer modeling of age, gender, and emotions, it still lags behind the capabilities of the human vision system. In this project, we propose an architecture for age and gender classification utilizing Convolutional Neural Networks (CNNs). Our model demonstrates superior accuracy in both age and gender detection compared to other classifier-based methods. Additionally, for modeling human emotions, we aim to predict emotions using deep CNNs to enhance future marketing strategies.
We employ the Viola-Jones pre-processing algorithm to extract features from images, which are then fed as input to the CNN. The results of the detection process are presented to the user through a well-designed user interface.
While considerable research has successfully advanced computer modeling of age, gender, and emotions, it still lags behind the capabilities of the human vision system. In this project, we propose an architecture for age and gender classification utilizing Convolutional Neural Networks (CNNs). Our model demonstrates superior accuracy in both age and gender detection compared to other classifier-based methods. Additionally, for modeling human emotions, we aim to predict emotions using deep CNNs to enhance future marketing strategies.
We employ the Viola-Jones pre-processing algorithm to extract features from images, which are then fed as input to the CNN. The results of the detection process are presented to the user through a well-designed user interface.