Papers by IJRASET Publication
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2026
This study's main goal is to look at the connection between digital inclusion and financial liter... more This study's main goal is to look at the connection between digital inclusion and financial literacy among payment bank clients. Its goal is to comprehend the ways in which financial literacy and expertise impact the uptake and efficient application of digital financial services, especially those provided by payment banks. The study looks at the elements that help or impede digital inclusion and investigates the possible effects of financial literacy on payment bank clients' financial security. A sample size of 200 customers were selected through simple random sampling method from the geographical location of urban Bangalore. SPSS V.23 was used to analyse and validate the hypothesis through Pearson's correlation analysis and regression analysis. The findings of this study on financial literacy and digital inclusion among payment bank customers in Bangalore provide valuable insights into the factors that influence the adoption and effective use of these services. The study found that there is statistically significant relationship between digital literacy and financial literacy. There is higher impact of financial literacy on digital literacy by 31% in predicting contributed by financial knowledge. These findings highlight the importance of both financial literacy and digital literacy in promoting the effective use of payment bank services.
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2026
Graph-based knowledge representations have emerged as powerful tools for organizing interconnecte... more Graph-based knowledge representations have emerged as powerful tools for organizing interconnected information sourced from heterogeneous data environments. However, when contributing parties span multiple organizations with varying levels of mutual trust, maintaining and evolving such graphs in a coordinated manner poses significant challenges. Traditional centralized management platforms, while operationally convenient, tend to create systemic vulnerabilities including single points of failure, inadequate transparency mechanisms, and insufficient mechanisms for verifiable data lineage. In contrast, blockchain-based infrastructures offer compelling properties for managing distributed knowledge systems, including tamperevident ledgers, peer-driven transaction verification, cryptographic authenticity assurance, and rule-based automation via programmable contracts. This paper surveys contemporary research that intersects graph-based knowledge management with distributed ledger technology, examining methods for decentralized identity management, contract-driven governance, and multi-party data coordination. The survey analyzes currently deployed systems, highlights their shortcomings, and introduces a conceptual architecture that supports authenticated graph modifications, auditable data lineage, and permission-governed knowledge exchange across organizational boundaries. Key technical obstacles including on-chain storage constraints, retrieval latency, cross-system compatibility, confidentiality, and throughput limitations are systematically examined. The findings indicate that when blockchain components are thoughtfully integrated with off-chain graph repositories and optimized validation pipelines, decentralized approaches can substantially improve accountability and trustworthiness in collaborative knowledge ecosystems. I.
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2026
Digital revolution in agricultural sector is substantially altering the conventional agriculture ... more Digital revolution in agricultural sector is substantially altering the conventional agriculture sector in India as there is assimilation of the technology-based solutions in the lives of the rural people. Online applications like FarmEase, which is an online agricultural service project, are designed to close historical disparities between farmers and necessary services, comprising of access to markets in real time, customized weather predictions, professional advisory service, and effective input sourcing systems. Using mobile technology and data analytics, FarmEase aims at enabling small and marginal farmers to make informed decisions with credible and timely information. This paper will look at how the introduction of FarmEase has affected the agricultural output, the level of the rural farmers, and the general access of the rural farmers to agricultural services. The study concentrates on some villages within Madhya Pradesh and takes a mixed research design to determine a thorough evaluation by involving quantitative surveys, qualitative interviews, and secondary data analysis. The data of the surveys focuses on the quantifiable transformation of the crop yield and income, whereas interviews focus on the experience, perception and the problems related to the adoption of digital use by farmers. The analysis is also supported by secondary data, which is the records of FarmEase usage. The results will be used to assess the role of digital transformation with the help of FarmEase in enhancing the outcome of farming and determining the primary factors affecting the success of this technology in rural agrarian development.
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2026
The project titled "Speed Control of BLDC Motor Using Arduino and Potentiometer" focuses on devel... more The project titled "Speed Control of BLDC Motor Using Arduino and Potentiometer" focuses on developing a simple, low-cost, and efficient method for controlling the speed of a Brushless DC (BLDC) motor. BLDC motors are preferred in modern applications due to their high efficiency, smooth operation, and long lifespan. However, they require an electronic controller for proper commutation and speed regulation. In this project, an Arduino microcontroller is used to generate a PWM (Pulse Width Modulated) signal, which acts as a control input for an Electronic Speed Controller (ESC). A potentiometer serves as the manual input device, allowing the user to vary the motor speed by adjusting its analog voltage. The Arduino reads this voltage, converts it to a corresponding PWM value, and sends it to the ESC, which drives the BLDC motor at the desired speed. The system offers smooth speed variation, quick response, and stable performance. It is highly suitable for applications such as robotics, drones, automation systems, and laboratory experiments. This project demonstrates a practical, reliable, and userfriendly approach to BLDC motor control using basic electronic components. I.
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2026
Melanoma skin cancer represents one of the most aggressive and life-threatening dermatological ma... more Melanoma skin cancer represents one of the most aggressive and life-threatening dermatological malignancies due to
its rapid metastatic potential and increasing global incidence. Early diagnosis plays a critical role in improving survival
outcomes; however, traditional clinical assessment methods are often subjective, time-consuming, and dependent on specialist
expertise.
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2026
Facial Authentication System is a biometric technology that identifies or verifies a person using... more Facial Authentication System is a biometric technology that identifies or verifies a person using facial features. This research focuses on designing a secure and efficient authentication system using computer vision and machine learning techniques. The system captures facial images, detects faces, extracts unique features, and compares them with stored data for authentication. The proposed system aims to provide high accuracy, fast processing, and enhanced security compared to traditional methods like passwords or ID cards. The Face Recognition Attendance System represents an innovative solution at the intersection of artificial intelligence and attendance management. Leveraging Python open-source libraries such as OpenCV and NumPy, alongside machine learning techniques, the system aims to streamline the attendance tracking process. By employing face detection algorithms and feature extraction methods, the system identifies individuals, records their attendance, and updates the database in real-time. The system architecture incorporates components like a front-end web application, real-time prediction module, registration form module, reporting module, Redis database, Streamlit framework, Insightface library, and AWS deployment. Through continuous improvement and innovation, the system enhances user experience, accuracy, and efficiency in attendance management. Facial recognition technology has emerged as a vital component in modern security systems. This paper presents the design and implementation of a low-cost, real-time facial recognition and tracking system using an Arduino microcontroller, a USB camera, and Python-based image processing. The system captures live video, detects faces using the OpenCV library, and compares them against a pre-stored database. Upon successful recognition, the Arduino triggers an output device such as a servo-controlled door lock or an alarm. The proposed system demonstrates that affordable hardware can be integrated with open-source software to achieve reliable facial authentication for small-scale security applications.
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2026
In this paper, we describe a tool coined as artificial intelligence-based student learning evalua... more In this paper, we describe a tool coined as artificial intelligence-based student learning evaluation tool (AISLE).
The main purpose of this tool is to improve the use of artificial intelligence techniques in evaluating a student’s
understanding of a particular topic of study using concept maps. Here, we calculate the probability distribution of the
concepts identified in the concept map developed by the studen
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2026
Diabetes management requires continuous monitoring of blood glucose levels, where dietary intake ... more Diabetes management requires continuous monitoring of blood glucose levels, where dietary intake plays a critical role in influencing glycemic variations. This paper presents an intelligent system that analyzes the impact of nutritional factors on blood glucose levels using food image recognition. The proposed approach employs a Convolutional Neural Network (CNN) to automatically identify food items from user-uploaded images. Nutritional information, particularly carbohydrate content, is then extracted from a predefined dataset and used to estimate the potential glucose impact. A rule-based classification method is applied to categorize glucose levels into low, normal, and high, providing an interpretable assessment of dietary effects. Furthermore, a recommendation module suggests suitable food alternatives to help maintain balanced glucose levels. The system is implemented using Python, Flask, and TensorFlow/Keras, ensuring a lightweight architecture with fast response time. Experimental results demonstrate that the system performs efficiently for known food categories and provides consistent predictions. The proposed solution assists diabetic patients in making informed dietary decisions and highlights the potential of integrating artificial intelligence with nutritional analysis for effective healthcare applications.
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2026
The rapid advancement of web technologies has significantly transformed recruitment processes. Tr... more The rapid advancement of web technologies has significantly transformed recruitment processes. Traditional hiring
methods are often inefficient, time-consuming, and lack centralized management. This paper presents the design and
implementation of a web-based job portal system developed using ASP.NET Core MVC and Entity Framework Core. The system
enables employers to post job vacancies and job seekers to search and apply efficiently.
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2026
The rapid growth of the construction industry has significantly increased the demand for cement, ... more The rapid growth of the construction industry has significantly increased the demand for cement, leading to higher carbon dioxide emissions and environmental degradation. Cement production is one of the major contributors to global CO₂ emissions, which creates the need for sustainable and eco-friendly alternatives. This project focuses on the partial replacement of cement with Corn Cob Ash (CCA) in concrete and the application of accelerated curing techniques to improve early strength development. Corn cob ash, an agricultural waste material obtained from burning corn cobs, possesses pozzolanic properties that make it suitable as a supplementary cementitious material in concrete production. Utilizing such agro-waste not only reduces environmental pollution but also promotes sustainable waste management practices. The main objective of this study is to evaluate the mechanical properties and performance of concrete when cement is partially replaced by varying percentages of corn cob ash under accelerated curing conditions. In this project, different mix proportions were prepared by replacing cement with CCA at different percentages such as 5%, 10%, 15%, and 20% by weight. The concrete specimens were subjected to accelerated curing methods such as hot water curing or steam curing to enhance the early strength gain. Compressive strength tests were conducted at different curing ages to analyse the strength development and compare it with conventional concrete. The results indicate that partial replacement of cement with corn cob ash up to an optimum percentage improves the compressive strength and durability characteristics of concrete. Accelerated curing significantly reduces the curing time while maintaining adequate strength, making it suitable for precast concrete elements and fast-track construction projects. However, higher replacement levels beyond the optimum percentage may lead to a reduction in strength due to the lower cementitious content. This project demonstrates that corn cob ash can be effectively used as a sustainable and economical alternative material in concrete production. The combination of CCA replacement and accelerated curing not only enhances early strength but also contributes to environmental sustainability by reducing cement consumption and agricultural waste disposal problems. Hence, the study supports the development of green concrete technology for sustainable construction practices. I. INTRODUCTION. Concrete is the most widely used construction material in the world. The key binding material in concrete is Ordinary Portland Cement (OPC) Ordinary Portland Cement. However, cement production contributes significantly to carbon dioxide emissions and environmental pollution. To reduce cement consumption and promote sustainable construction, agricultural waste materials such as Corn Cob Ash (CCA) are being used as partial replacement of cement. Corn cob is an agricultural by-product obtained after removal of maize grains. When burnt under controlled conditions, it produces ash rich in silica content, which exhibits pozzolanic properties. Accelerated curing techniques such as hot water curing and steam curing are used to achieve early strength gain in concrete. This project focuses on: 1) Use of accelerated curing method 2) Study of compressive strength and durability II. LITERATURE SURVEY 1) Several researchers have studied agricultural waste as cement replacement. 2) Research findings show: 3) Corn Cob Ash contains silica and alumina. 4) It behaves as a pozzolanic material. 5) Optimum replacement level is between 5% to 20%.
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2026
Autonomous Digital Process Twins (ADPTs) represent an advanced paradigm in intelligent computatio... more Autonomous Digital Process Twins (ADPTs) represent an advanced paradigm in intelligent computational systems that
extends traditional digital twin frameworks by incorporating real-time analytics, artificial intelligence, and autonomous decisionmaking capabilities. Conventional digital twins are primarily designed for monitoring, visualization, and offline simulation;
however, emerging complex environments require systems capable of adaptive reasoning and real-time optimization.
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2026
High-speed arithmetic operations are fundamental to modern digital systems, where multi-operand a... more High-speed arithmetic operations are fundamental to modern digital systems, where multi-operand addition frequently determines the critical timing path. Conventional cascaded two-operand adders result in sequential carry propagation and increased latency. This paper presents an FPGA implementation employing carry computation to enhance timing performance. The proposed architecture decouples operand compression from carry resolution, thereby reducing critical path delay. Kogge-Stone, Han-Carlson, and Ladner-Fischer prefix structures are implemented in Verilog HDL and synthesized on an Artix-7 FPGA platform. Experimental results indicate that structured prefix networks improve computational efficiency while providing scalable trade-offs among delay, area, and power for high-throughput arithmetic systems.
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2026
Advances in transformer architectures have enabled a generation of code-oriented generative model... more Advances in transformer architectures have enabled a generation of code-oriented generative models whose practical deployment inside software development pipelines is now widespread. This paper investigates the intersection of these models with established software engineering practice by tracing their contributions and limitations across six lifecycle stages: requirements engineering, architectural design, implementation, quality assurance, maintenance, and DevOps automation. A structured search of 312 candidate publications drawn from IEEE Xplore, ACM Digital Library, Scopus, and arXiv was reduced to 87 retained sources through systematic screening; six leading tools were additionally assessed against a common evaluation framework. Synthesis of this evidence reveals that measurable productivity benefits are most reliably achieved for implementation and documentation tasks, whereas output reliability degrades substantially for complex, security-sensitive, or domain-constrained work. Six categories of risk are identified and mapped to an original six-principle governance framework designed to guide safe, accountable deployment. The analysis supports an augmentative rather than substitutive role for generative AI: human engineers must retain responsibility for design decisions, security-critical code, and final verification, while AI assistance handles routine cognitive tasks within clearly bounded workflows.
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2026
The rapid growth of artificial intelligence (AI) has transformed modern healthcare by enabling pr... more The rapid growth of artificial intelligence (AI) has transformed modern healthcare by enabling predictive analysis and early detection of medical risks. Traditional health monitoring systems primarily offer reactive alerts based on threshold violations, often failing to identify hidden patterns in physiological signals such as ECG, blood pressure, glucose levels, and kidney function indicators. To address these limitations, AI-driven predictive forecasting models-particularly LSTM, GRU, CNN, and Transformer-based architectures-have emerged as powerful tools for analyzing time-series health data and forecasting potential risks before they occur. This survey paper reviews state-of-the-art research, existing methodologies, datasets, and machine learning techniques used for early health risk prediction. The paper highlights trends, compares model performance, identifies current research gaps, and emphasizes the need for proactive, data-driven healthcare systems. The findings suggest that AI-based forecasting can significantly improve timely intervention, reduce medical emergencies, and enable personalized patient care.
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2026
The contemporary work ethic is undergoing a visible transformation as Generation Z increasingly p... more The contemporary work ethic is undergoing a visible transformation as Generation Z increasingly prioritizes efficiency, well-being, and meaningful engagement over traditional notions of relentless hustle and overwork. This study examines how Gen Z is redefining work by valuing time, mental health, and output quality rather than exhaustion and prolonged working hours. Drawing on existing empirical studies, surveys, and interdisciplinary research on concepts such as the anti-hustle movement, quiet quitting, burnout, turnover intention, and hustle culture, the paper synthesizes evidence to understand the motivations behind these shifting attitudes. The findings indicate that Gen Z's preference for efficiency is shaped by widespread technological access, exposure to economic uncertainty, and heightened awareness of mental health and worklife balance, particularly following the COVID-19 pandemic. High workloads and rigid organizational structures are strongly associated with burnout, disengagement, and turnover intentions among Gen Z employees, while supportive work environments, autonomy, and clear boundaries enhance well-being and productivity. Rather than signaling laziness or low commitment, Gen Z's approach reflects a pragmatic and adaptive response to modern work conditions, emphasizing sustainable performance, flexibility, and personal value alignment. The study argues that this efficiency-over-exhaustion mindset represents an evolution of work ethics suited to a digital, fast-changing economy. Understanding these values is crucial for organizations, educators, and policymakers seeking to engage, retain, and effectively manage Gen Z talent, and to design work models that balance productivity with human sustainability in the modern workplace.
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2026
This article examines the transformative potential of artificial intelligence (AI) in automating ... more This article examines the transformative potential of artificial intelligence (AI) in automating and enhancing
productivity for small businesses, particularly those in the contracting service sector. While larger corporations have rapidly
adopted AI to streamline operations and communication, smaller businesses often lag due to resource constraints and
apprehension about new technology.
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2026
The high cost associated with chemically treated coagulants has made access to clean water a majo... more The high cost associated with chemically treated coagulants has made access to clean water a major challenge in rural
areas. Consequently, many rural populations are compelled to depend on easily accessible but low-quality water sources, thereby
increasing their vulnerability to waterborne diseases.
This study aims to evaluate the coagulation and adsorption efficiency of various low-cost, eco-friendly, and locally available
natural coagulants-specifically Moringa oleifera seed powder, extract, and banana peel powder-as sustainable alternatives to
conventional chemical coagulants such as alum or ferric chloride
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2026
This study examines the impact of sustainable logistics practices on customer choice in grocery a... more This study examines the impact of sustainable logistics practices on customer choice in grocery and food delivery services. With the rapid growth of platforms such as Swiggy, Zomato, Blinkit, and Zepto, environmental issues like carbon emissions and packaging waste have increased significantly. To address these concerns, companies are adopting sustainable practices such as electric vehicle deliveries, biodegradable packaging, and route optimization. The study uses a descriptive research design and is based on primary data collected from 102 respondents through structured questionnaires. Simple percentage analysis was applied to interpret the data. The findings reveal that most customers are aware of sustainable initiatives and show preference for eco-friendly delivery options. Although price remains an important factor, sustainability strongly influences customer satisfaction and brand loyalty. The study concludes that sustainable logistics not only supports environmental protection but also provides long-term competitive advantage for businesses.
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2026
The increasing complexity of global supply chains has led to the adoption of Fourth-Party Logisti... more The increasing complexity of global supply chains has led to the adoption of Fourth-Party Logistics (4PL) systems, where a single integrator coordinates multiple logistics service providers. Although 4PL enhances operational efficiency and strategic control, vendors functioning within this framework encounter several structural and operational challenges. The present study examines the key challenges faced by vendors in 4PL environments and analyses their impact on customer satisfaction. A descriptive research design was adopted, and primary data were collected from 150 respondents using a structured questionnaire. Statistical techniques such as percentage analysis and chi-square testing were employed to evaluate the relationship between vendor challenges and customer satisfaction. The results indicate a significant association between coordination issues, technological integration problems, cost pressures, and customer satisfaction levels. The study emphasizes the importance of effective vendor management and digital integration in improving service quality within 4PL systems.
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Papers by IJRASET Publication
its rapid metastatic potential and increasing global incidence. Early diagnosis plays a critical role in improving survival
outcomes; however, traditional clinical assessment methods are often subjective, time-consuming, and dependent on specialist
expertise.
The main purpose of this tool is to improve the use of artificial intelligence techniques in evaluating a student’s
understanding of a particular topic of study using concept maps. Here, we calculate the probability distribution of the
concepts identified in the concept map developed by the studen
methods are often inefficient, time-consuming, and lack centralized management. This paper presents the design and
implementation of a web-based job portal system developed using ASP.NET Core MVC and Entity Framework Core. The system
enables employers to post job vacancies and job seekers to search and apply efficiently.
extends traditional digital twin frameworks by incorporating real-time analytics, artificial intelligence, and autonomous decisionmaking capabilities. Conventional digital twins are primarily designed for monitoring, visualization, and offline simulation;
however, emerging complex environments require systems capable of adaptive reasoning and real-time optimization.
productivity for small businesses, particularly those in the contracting service sector. While larger corporations have rapidly
adopted AI to streamline operations and communication, smaller businesses often lag due to resource constraints and
apprehension about new technology.
areas. Consequently, many rural populations are compelled to depend on easily accessible but low-quality water sources, thereby
increasing their vulnerability to waterborne diseases.
This study aims to evaluate the coagulation and adsorption efficiency of various low-cost, eco-friendly, and locally available
natural coagulants-specifically Moringa oleifera seed powder, extract, and banana peel powder-as sustainable alternatives to
conventional chemical coagulants such as alum or ferric chloride