Journal of Research in Information Technology and Its Applications ISSN: 3139-504X (Online)

Author: Aman Singh

Abstract: Quantum computing represents a transformative shift in the computational landscape, offering unprecedented processing power by leveraging quantum mechanics. As this technology matures, it holds significant implications for various fields, including cryptography. Traditional cryptographic systems, which rely on the difficulty of certain mathematical problems, may be vulnerable to the computational capabilities of quantum algorithms. This paper explores the latest advancements in quantum computing, the challenges posed to classical cryptography, and potential strategies for developing quantum-resistant encryption methods. The paper also examines the intersection of quantum computing and post-quantum cryptography, highlighting the need for a new generation of secure communication protocols.

Keywords: Quantum Computing, Cryptography, Post-Quantum Cryptography, Quantum Algorithms, Shor's Algorithm, Quantum Resistance, Encryption, Quantum Mechanics, Quantum Supremacy, Cryptographic Systems.

Author: Arun Kumar Verma

Abstract: The integration of the Internet of Things (IoT) in smart cities has emerged as a revolutionary force, enabling enhanced urban management and transforming the way cities function. By leveraging interconnected devices and sensors, IoT creates data-driven ecosystems that optimize resources, improve sustainability, and enhance the quality of life for residents. This paper explores the applications of IoT in smart cities, focusing on transportation, healthcare, energy management, and waste management. The paper also highlights the challenges faced in the implementation of IoT, such as data privacy, security concerns, infrastructure requirements, and the digital divide. Through an in-depth analysis, the paper aims to provide a comprehensive understanding of IoT's role in shaping the future of urban spaces.

Keywords:Internet of Things, Smart Cities, Urban Management, IoT Applications, IoT Challenges, Sustainability, Smart Infrastructure

Author: Pranav Iyer

Abstract: Natural Language Processing (NLP) has become a key technology in enhancing customer experience (CX) across industries. This paper explores the role of NLP in customer experience management (CEM), focusing on current trends, applications, and the future directions of this transformative technology. It delves into NLP's ability to analyze large volumes of textual data, enabling companies to gain insights into customer behavior, sentiment, and preferences. The paper also discusses challenges in implementing NLP in CX, the evolution of AI-driven customer service tools, and the integration of NLP with other technologies like chatbots and voice assistants. Future directions include personalized CX through NLP-powered insights, multilingual support, and improvements in conversational AI.

Keywords:Natural Language Processing, Customer Experience Management, Sentiment Analysis, Chatbots, Artificial Intelligence, Conversational AI, Customer Insights, Voice Assistants, Multilingual Support, Personalization.

Authors: Tushar Sethi, Divya Khanna

Abstract: Blockchain technology has emerged as a revolutionary solution for various industries, with healthcare being one of the most promising sectors. The ability to secure patient data, ensure privacy, and streamline medical processes has made blockchain an attractive option for healthcare providers, patients, and regulatory bodies. This paper explores the application of blockchain in healthcare, focusing on data security, privacy concerns, and the potential for improving the efficiency of medical processes. It examines the integration of blockchain with existing healthcare systems, challenges faced during implementation, and case studies that demonstrate its effectiveness. The paper concludes by highlighting the future prospects of blockchain technology in transforming the healthcare landscape.

Keywords:Blockchain, Healthcare, Patient Data Security, Medical Processes, Privacy, Healthcare Systems, Digital Health Records

Authors: Ankita Joshi, Kiran Jain

Abstract: Cloud computing has emerged as a vital component of modern digital infrastructure, offering scalability, flexibility, and cost efficiency. However, the increasing reliance on cloud-based services has also escalated the risks associated with cybersecurity threats. Traditional security measures often fail to adequately address the complexities and scale of attacks in cloud environments. This paper explores the potential of leveraging Artificial Intelligence (AI) to enhance cybersecurity in cloud computing. AI-driven solutions, including machine learning, anomaly detection, and automated threat response, are examined in detail. The integration of AI into cloud security frameworks aims to not only improve threat detection but also enable proactive defense mechanisms capable of mitigating risks in real time. We also highlight various AI techniques, their application to cloud environments, and the challenges and future directions for the adoption of AI in cloud cybersecurity.

Keywords:Artificial Intelligence, Cybersecurity, Cloud Computing, Machine Learning, Anomaly Detection, Threat Mitigation, Cloud Security, Real-time Defense, AI Techniques.

Authors: Ms. M. P. Koshti, Aditya Karande Shreyash Mohite Rohit Rustabpur Prathmesh More

Abstract: This paper focuses on developing Engineering College Automation and scheduling System which can be used for management purposes. It is a Web- Application. It’s necessary to develop such kind of Management system to reduce Human efforts as well as to reduce paperwork. We are using CSS, HTML as well as Bootstrap which can help to increase the level of responsiveness of the system. This system will help to make college work more efficient and easier. Engineering College Automation and Scheduling System are one of the best systems which are highly useful in school, High-school, and college as well as in universities that can use this Web-Application.

Keywords:  Platform, Automation, Analyzing academic data.

Authors: Ramesh Kumar, Anjali Sharma, Gitika Kapoor

Abstract: Information technology (IT) has become indispensable in modern business operations, driving efficiency and fostering innovation across various sectors. This paper explores the transformative impact of IT on business operations, focusing on its role in supply chain management, customer relationship management, human resources management, and its integration with advanced technologies like artificial intelligence, IoT, cloud computing, and blockchain. The challenges of implementing IT in business, such as security concerns, cost implications, and change management, are also examined. By leveraging IT capabilities, businesses can enhance operational efficiencies, improve decision-making processes, and gain competitive advantages in today's digital economy.

Keywords: Business, Information Technology, ERP Systems, CRM Software, Data Analytics

Authors: Nitin Mishra, Komal Sharma

Abstract: The integration of Information Technology (IT) has revolutionized the education sector, offering transformative changes in teaching and learning processes. This paper examines the role of IT in education, highlighting its impact, challenges, and future potential. IT enhances accessibility, engagement, and personalization in learning while improving administrative efficiency. Despite these benefits, challenges such as the digital divide, inadequate infrastructure, and insufficient teacher training hinder effective IT integration. The future of IT in education looks promising with advancements in artificial intelligence, virtual reality, and blockchain technology, which are poised to further enhance educational outcomes. This paper provides a comprehensive analysis of these aspects, offering insights into the transformative potential of IT in education.

Keywords: Education, Information Technology, E-learning, Virtual Classrooms, Digital Libraries

Authors: Gaurav Choudhary, Rajeev Kumar

Abstract: The integration of information technology (IT) into healthcare has led to significant advancements in the delivery and quality of medical services. This paper explores the various applications of IT in healthcare, including Electronic Health Records (EHRs), telemedicine, Health Information Exchanges (HIEs), Clinical Decision Support Systems (CDSS), and mobile health (mHealth). These technologies have revolutionized patient data management, enhanced access to medical services, and improved clinical decision-making. Despite the numerous benefits, challenges such as data security, interoperability, implementation costs, and resistance to change hinder the full potential of IT in healthcare. The paper also discusses future opportunities in the field, such as the use of Artificial Intelligence (AI), blockchain technology, the Internet of Medical Things (IoMT), personalized medicine, and Virtual Reality (VR) and Augmented Reality (AR). Addressing the existing challenges and embracing these future technologies can further enhance healthcare services, making them more efficient, secure, and patient-centered.

Keywords: Healthcare, Information Technology, Electronic Health Records, Telemedicine, Mobile Health Applications

Authors: Chitra G M, Smruti Naik, Sandeep G, Shivani S, Dr. Latha A.P, Dr. Chandrajkala

Abstract: This project focuses on the development of a Smart Parking System Android application aimed at revolutionizing traditional parking management. The application utilizes various sensors and IoT technology to provide real-time parking space availability information to users. Through this system, users can effortlessly locate and reserve parking spaces, reducing the time spent searching for spot and minimizing traffic congestion. The Android application employs intuitive user interfaces to display parking availability, guiding users to vacant spaces within designated parking lots. It integrates with backend servers to store and manage parking data, ensuring efficient communication between the app and the physical sensors deployed in the parking areas. The development involves utilizing Android Studio for app creation, integrating APIs for mapping and navigation services, and establishing secure payment gateways for transactions. The Smart Parking System Android application aims to enhance convenience for drivers, optimize parking space utilization, and contribute to reducing environmental impact by minimizing unnecessary vehicle movements in search of parking, ultimately leading to a more efficient and eco-friendly urban environment.

Keywords: Android Studio, Firebase, Google Map, Cloud Database, Speech-to-text

Author: Sagir Alam , Raman Caudhary

Abstract: Health Information Systems (HIS) are critical components of modern public healthcare systems, providing the infrastructure for efficient data collection, management, and dissemination. With increasing demands on healthcare systems worldwide, public healthcare institutions are adopting HIS to enhance clinical decision-making, reduce operational inefficiencies, and improve patient outcomes. This paper reviews the evolution, components, implementation strategies, challenges, and impact of HIS in public healthcare settings. Key themes include electronic health records (EHR), hospital information systems (HIS), and disease surveillance systems. The paper also highlights case studies from developing and developed nations, illustrating the practical benefits and limitations of HIS. Findings suggest that while HIS adoption improves healthcare efficiency, interoperability, data security, and staff training remain significant challenges.

Keywords: Health Information Systems, Public Healthcare, Electronic Health Records, Data Management, Clinical Decision Support, HIS Implementation

Authors: Amrender Sekhawat , Sonu Singhaniya , Rajaram P Singh , Anshul Sukla

Abstract: Artificial Intelligence (AI) is increasingly embedded into organizational decision-making, operations, and strategic planning. While AI enables efficiency, predictive capabilities, and automation, it also introduces complex ethical challenges that affect employees, customers, and society. Organizations often deploy AI systems without fully understanding implications such as algorithmic bias, data privacy violations, lack of transparency, workforce displacement, and accountability gaps. This paper reviews major ethical issues of AI adoption in organizational environments and examines governance mechanisms required for responsible use. The study synthesizes literature from management, information systems, and technology ethics to identify key risk areas and propose a practical ethical framework for organizations. The findings suggest that ethical AI adoption requires multidisciplinary governance, human oversight, transparency, and ethical culture integration. The paper concludes that organizations must move beyond compliance-based approaches and adopt proactive ethical strategies to ensure trust, fairness, and sustainability in AI-driven environments.

Keywords: Artificial Intelligence ethics, organizational governance, algorithmic bias, AI accountability, workplace automation, responsible AI

Authors: Rakesh Kumar Sharma , Bhupendra Rawat

Abstract: Enterprise Resource Planning (ERP) systems have become a vital component of modern organizations seeking integration, efficiency, and improved decisionmaking. Despite their strategic importance, ERP implementation remains a highly complex and challenging process. Many organizations invest heavily in ERP systems but fail to achieve expected outcomes due to technical, organizational, financial, and human-related challenges. This paper reviews major challenges faced during ERP implementation and analyzes factors contributing to implementation success or failure. It discusses issues such as resistance to change, inadequate planning, poor project management, data migration complexities, cost overruns, customization difficulties, vendor selection, and training limitations. The paper also highlights risk mitigation strategies and provides practical recommendations for managers and practitioners. Through literature review and conceptual discussion, this study aims to provide a comprehensive understanding of ERP implementation challenges and offer guidance to organizations planning ERP adoption.

Keywords: ERP, Implementation Challenges, Change Management, Data Migration, Project Management, Business Process Reengineering, Organizational Resistance

Authors: Riya Sharma , Kunal Verma , Aditi Rao

Abstract: Electronic Health Records (EHR) have become an important component of modern healthcare systems worldwide. They enable digital storage, retrieval, and sharing of patient information across healthcare providers. The adoption of EHR systems is often associated with improved healthcare efficiency, reduced medical errors, better coordination of care, and cost optimization. However, challenges such as interoperability issues, implementation cost, workflow disruption, and data privacy concerns still affect their effectiveness. This paper reviews the concept of Electronic Health Records and examines their impact on healthcare efficiency from operational, clinical, and administrative perspectives. The study synthesizes existing literature to analyze benefits, limitations, and real-world outcomes of EHR implementation in hospitals and clinics. It also presents tables and conceptual framework illustrating how EHR contributes to healthcare efficiency. The findings indicate that EHR significantly improves information accessibility, clinical decision-making, and resource utilization, though efficiency gains depend on proper system design, user training, and policy support. The paper concludes that EHR systems, when effectively integrated, can enhance healthcare quality and operational performance, particularly in developing healthcare environments.

Keywords: Electronic Health Records, Healthcare Efficiency, Digital Health, Health Information Systems, Clinical Decision Support, Healthcare Management

Authors: Dhirendra P Saini , Aftab Alam

Abstract: Engineering design automation is rapidly transforming due to advances in generative artificial intelligence (AI). Generative AI models such as generative adversarial networks (GANs), variational autoencoders (VAEs), diffusion models, and large language models (LLMs) enable automatic creation of design concepts, geometries, layouts, and system architectures with minimal human intervention. These models can learn from existing engineering datasets and generate optimized, innovative, and manufacturable designs across domains like mechanical components, electronics, civil structures, and aerospace systems. This paper presents a comprehensive review of generative AI techniques for engineering design automation, covering model architectures, workflows, applications, benefits, and challenges. A generalized generative design automation framework is proposed to illustrate integration with CAD/CAE tools and digital manufacturing. Case studies in topology optimization, circuit design, and product conceptualization are discussed. Finally, future research directions including physics-informed generative models, human-AI collaborative design, and trustworthy AI in engineering are outlined. The study shows that generative AI can significantly reduce design cycle time and enable exploration of large design spaces beyond traditional optimization methods.

Keywords: Generative AI, engineering design automation, generative design, CAD automation, topology optimization, diffusion models, AI-assisted design

Authors: Dhrup Tiwari , Srawan Tyagi , Prabhunath Pandey

Abstract: Engineering simulation and optimization have long relied on physics-based numerical solvers and domain-specific modeling tools. While these approaches are accurate, they are computationally intensive and require expert knowledge, limiting scalability and real-time decision making. Recently, foundation models—large-scale pretrained models capable of generalizing across tasks and domains—have emerged as transformative tools in artificial intelligence. Their integration into engineering workflows offers a new paradigm where simulation, design exploration, and optimization can be performed faster and with reduced dependency on handcrafted models. This paper reviews the concept of foundation models in the context of engineering simulation and optimization, examining architectures, training methodologies, applications, and challenges. The paper discusses how multimodal and physics-informed foundation models enable surrogate simulation, design generation, inverse modeling, and autonomous optimization across mechanical, civil, aerospace, and industrial engineering domains. Case studies illustrate improvements in computational efficiency and solution quality. Challenges such as data scarcity, reliability, and physical consistency are also analyzed. The paper concludes that foundation models will become core components of next-generation digital engineering platforms, enabling intelligent and adaptive simulation ecosystems. 

Keywords: foundation models, engineering simulation, surrogate modeling, optimization, physics-informed AI, digital engineering, generative design

Authors :- Prof. Pranjali More , Gayatri Pawar, Sudarshan Deshmukh, Nagesh Pawar , Abhishek Dighe

Abstract:- To maintain the attendance record with day-to-day activities is a challenging task. The conventional method of calling name of each student is time consuming and there is always a chance of proxy attendance. The following system is based on face recognition to maintain the attendance record of students. The daily attendance of students is recorded subject wise which is stored already by the administrator. As the time for corresponding subject arrives the system automatically starts taking snaps and then apply face detection and recognition technique to the given image and the recognize students are marked as present and their attendance update the corresponding time and subject id. We have used deep learning techniques to develop the system, histogram of oriented gradient method is used to detect faces in images and deep learning method is used to compute and compare feature facial of students to recognize them. Our system is capable to identify multiple faces in real time.

Keywords:-Deep learning, python, Image Processing, Face Recognition, CNN, KNN.

Authors: K.R.Mhetar, Prashisti Karandika, Mansi Patil, Diksha Patil, Shravani Patil

Abstract: Presence of a human in any particular area needs to be recorded at various places including colleges, schools for students, and industries. Attendance is also mainly required for the login and logout time of employees. Radio Frequency Identification — RFID based attendance management system can be used in any college or university or company. The main objective of RFID based Lectures monitoring System project is to take the record of ongoing lectures with employees. The microcontroller does the task of storing the attendance of the respective person in the Microcontroller memory. The existing attendance system is manual and it is taken on paper and it consumes a lot of time. Though, The RFID based attendance already exists and it works more efficiently but using the same technology in different way may reduce a cost of project and also helps the institutions to keep a track record of lectures day by day. As we are aware that many traditional “Attendance system” uses an attendance register to note down attendance. It has less accuracy. Also, the administrative person needs to maintain the attendance papers/sheets. This project will also help the higher authority of educational institutions to have an idea about the Daily routine of each and every class. In many industries, an attendance register is used to note down the attendance of their employees. In many of the government school’s employees appoint the third person at their own place by giving some amount of salary. And this can cause the problem with the existing attendance system is that wrong attendance can be entered. For example, inan industry, an employee can enter an invalid/incorrect login logout time. They can come at 10 am and can enter the time as 8 am. Also in colleges, one student can give proxy attendance of another student. The probability of this is very less but it does happen. At primary stage we are only working for the schools/colleges then after we’ll start making it for the industries as well as the other small-scale firms. In contemporary attendance is an intense issue of each foundation. The conventional method of admitting the attendance is a paper-based system. The difficulties incorporate trouble in keeping the attendance list over a significant piece of time, fair amount of time wastage amid composing and marking, forged documentation, students are neglecting as well as ignorance to sign the attendance paper, lecturers overlooking the attendance list in the study hall, students signing or marking unlawfully for a truant among others. It is necessary to move away from this conventional system and need to provide better solution for the problems which are being faced. Internet of Things (IoT) is one of the key medium to solve the said issue. This paper analyses the very recent development and implementation of IoT attendance system using the concept of RFID. This analysis found that, Radio Frequency Identification (RFID) is a very advanced technology for automatic attendance system and it provide very higher accuracy and performance than traditional paper-based system. In addition, it has been concluded that, even though RFID is used, a second verification method is highly essential to mitigate the cheating and increasing reliability level. Eventually all the systems discussed in this analysis has its own advantages and disadvantages. Some certain characteristics are good for some systems and some are not. To overcome this, a hybrid model is necessary and which must confirm higher security, reliability, low cost and better performance of the system. In that respect, “RFID four tire systems with biometrics” could be used along with adequate number of RFID tag readers and finger print devices in order to confirm the security and the reliability of the system. Web server could be replaced by PHP and MYSQL result cheaper, better accuracy and high performance. This hybrid model could be applied and practiced in schools and higher education institutions effectively.

Keywords: Spy, RFID, Presence, Employees, Daily Routine, Timetable, Lectures, Microcontroller.

Authors: Chinmay Kumbhar, Tejas Patole, Shreyash Patil, Aditya Khichade, A.A.Mandare

Abstract: E-learning is education via the Internet, network, or standalone computer. E-learning is basically the network-enabled conveying of skills and knowledge. E-learning refers to using electronic applications and processes to learn. E-learning includes all forms of electronically supported learning and teaching. The information and communication systems, whether networked learning or not, serve as specific media to implement these learning processes. This often involves both out-of-classroom and in-classroom educational experiences via technology, even as advances continue in regard to devices and curriculum. E-learning is the computer and network-enabled transfer of skills and knowledge. E-learning applications and processes include Web-based learning, computer-based learning, virtual education opportunities and digital collaboration. Content is delivered via the Internet, intranet/extranet, audio or video tape, satellite TV, and CD-ROM. That is to say E-learning systems contain both Learning Management System and Course management system. It can be self-pace or instructor-led and includes media in the form of text, image, animation, streaming video and audio. It is commonly thought that new technologies can make a big difference in education. In young ages especially, children can use the huge interactivity of new media, and develop their skills, knowledge, and perception of the world, under their parents' monitoring, of course

Keywords: Online Learning, Teaching, Bright learning, Digital, etc.

Authors: S. P. Phadtare, Firoza Mallik, Romana Salim, Pradnya Mahadik

Abstract: The wood is the main part of material for furniture production. Furniture manufacturing appears very important part of our basic needs but also for the environment, moving towards the development of wooden furniture industry by benefiting with this website. Each type of wood has its own specific properties that make it unique, even the same kind of wood grown in a different place has different properties. It includes different categories like helping user to know the quality of the wooden by specifying the wooden names and its uses with information. It also provides the advertisement of the industry. It includes different types of formula of wood calculation providing it with high security and password. The feedbacks from the customer also included in this website. The Development of furniture industrial collection. The wood excellent physical properties, hardness, strength and etc. It helps Consumer purchase solid wood furniture.

Keywords: Wooden Furniture Industry, Sustainable Development.

Authors:- Tejaswani Thakur, Geetanjali Gupta

Abstract:- The overuse of video games and the internet in recent years, especially among teenagers, has reached pathological proportions and is interfering with their lives. One of the delayed reward jobs might have this problem. In this paper, we suggest a conditional delayed reward task where players might initially get a tiny incentive for playing the game rather than learning, but ultimately earn significant unfavourable rewards. We utilise a reinforcement learning model to study the root causes and potential solutions of this issue and concentrate on the peer-group effect (PGE), which describes how groups may impact individuals positively or negatively. This is one method of preventing the issue. Our simulation findings demonstrated that in the case of the group without PGE, people with a low gamma value (one of the reinforcement learning model's parameters thought to correspond to the brain's serotonin levels) persisted to play the game and came close to developing an addiction. Additionally, we discovered that gamers who were PGE-dependent in the absence of the PGE preferred studying to gaming when the PGE was present.

Keywords:- Internet gaming disorder; Inhibition of addictive behaviors; Peer-group effect; Conditional delayed reward task; Reinforcement learning

Authors:- Ashish Tyagi, Akash Khandelwal, Sourabh Mehta

Abstract:- Information technology (IT) has a significant impact on health, safety, and the environment (HSE). However, this is still a broad or generic remark. Companies and professionals from many industries are now using new technology into their HSE practises. This is due to its demonstrated efficiency and dependability, which restrict human mistake by removing the human interface and enabling smart technology. Diverse corporations, like Saudi Aramco, engage in these various smart safety solutions as part of their digital transformation efforts to boost safety, decrease or eliminate dangers to their employees, and preserve company assets. These innovative technologies are being utilised to either avoid or lessen the chance of accidents occurring.

Keywords:- Health & Safety, Information Technology, Smart Technologies