Authors - Smita Mehendale, Reena (Mahapatra) Lenka Abstract - This system is provided to make healthcare services responsive to visually impaired patients’ needs in various circumstances, predominantly during a medical emergency. The system includes multiple stakeholders, including visually impaired patients, patient family members, friends, neighbors, hospitals, healthcare providers, insurance companies & agents, private medical attendants & agencies, pharmacies, blood banks, and medical equipment providers using voice-assisted AI and with the help of various proposed systems. The design and implementation of voice-assisted personalized, comprehensive medical service, both emergency and non-emergency, will use data from shared information by patients and healthcare service providers like hospitals, pharmacies, and pathology and allied services like insurance and medical attendant services. The system uses a voice assistant chatbot to communicate with patients and a user interface with medical and allied service providers. It communicates between multiple service providers, clearly showing the entire patient care cycle for the visually impaired, a special group of people.
Authors - Jay Bhatt, Bimal Patel, Anshuman Prajapati, Jalpesh Vasa Abstract - Software engineering has progressed extensively, adopting structured methodologies and systematic frameworks for developing reliable, scalable, and efficient systems. A key advancement has been the introduction of software process models, which guide development activities. Traditional models use linear, sequential phases, but are rigid and less suited for projects with changing requirements. To address dynamic market demands and evolving business needs, the Agile methodology emerged, providing an iterative, flexible approach to software development. Agile promotes incremental delivery, collaborative team dynamics, and continuous customer feedback, making it highly effective in rapidly changing environments. Agile methodologies have expanded beyond software development into industries like media. With fast-evolving technology and shifting audience behaviors, media companies are under pressure to innovate. BBC News adopted Agile to overhaul its content production and delivery processes. This transition has improved newsroom agility, enabling faster response times, fostering cross-functional collaboration, and enhancing iteration capabilities in digital media workflows. The shift to Agile represents a strategic transformation, positioning BBC News to adapt to audience demands and technological advancements. This paper investigates the integration of Agile at BBC News, detailing the operational benefits, challenges, and the methodology’s influence on sustaining their leadership in the competitive news industry.
Authors - Ankit Aal, Priyanka Patel Abstract - In today’s interconnected world, ignoring ethical decision-making can have dire consequences. As businesses expand and globalize, the pressure to cut corners and maximize profits can lead to severe ethical breaches. William C. Butcher, retired chairman of the Chase Manhattan Corporation, highlighted the growing recognition that ethics in business is not a luxury but a necessity. Rooted in the concept of “ethos,” the importance of ethics has evolved, especially as business practices have become more complex. Over the decades, unethical business behavior has left a significant mark: the 1960s were defined by social upheaval, the 1980s by rampant financial scandals, and the 1990s by the challenges of a newly globalized economy. However, the rapid growth of markets was paralleled by troubling issues such as the exploitation of child labor, environmental degradation, and product counterfeiting. The 21st century introduced even more sophisticated threats—cybercrimes, intellectual property theft, and workplace discrimination—placing companies at greater risk if they neglected ethical practices. Despite the increasing awareness of these challenges, many businesses still struggle to balance profit with principle. Those that fail to integrate ethics into their strategies risk damaging their reputation, alienating customers, and facing legal repercussions. On the other hand, companies that proactively embrace ethical standards benefit from increased trust, a loyal workforce, and sustainable profitability. As ethics become an integral part of strategic business planning, they act not only as a safeguard against malpractice but also as a catalyst for long-term success in the global marketplace.
Authors - Samrat Subodh Thorat, Dinesh Vitthalrao Rojatkar, Prashant R Deshmukh Abstract - Vehicular Adhoc Networks (VANETs) play a vital role in enhancing road safety, and traffic management, and providing infotainment services. Various protocols have been developed to facilitate communication in VANETs, each with its advantages and limitations. This paper shows a comparative analysis of different VANET protocols, mentioning their performance, scalability, and reliability. It also illustrates the need for a hybrid protocol using satellite communication and GPS networks to overcome existing issues and challenges thus improving overall system efficiency.
Authors - Ruby Chanda, Rahul Dhaigude Abstract - There is a need to map, analyse, and visually convey a product's environmental impact over its complete life cycle or a specific aspect of it, given the urgency with which climate change must be addressed. If "what-if" scenarios can be additionally supported this can accelerate decision making towards improved environmental outcomes. Practically such outcomes need to also understand the economic ramifications so the map needs to support a mix of environmental and operational efficiency metrics. This paper explores the adaptation of a leading commercial value stream mapping software (eVSM Mix) for this purpose. Value stream maps come from the Lean domain and provide a high level view of the activities required to provide customer value. The work involved has technical and marketing aspects tied to a new product introduction and to a new customer segment.
Authors - Masakona Wavhothe, Khutso Lebea Abstract - This paper focuses on the vulnerabilities present in Bluetooth Low Energy (BLE) Beacons by exploring the background of BLE technology and the need to explore the chosen topic. The problem statement and structure of the paper are also explored in the introductory section. The subsequent section covers the case study that will be used to explore the chosen topic in deeper detail. Then, the background explores BLE beacons in detail, explaining their applications and vulnerabilities. The paper then concludes by highlighting all the important facts established in the research and suggesting how the study can be improved.
Authors - Mahek Viradiya, Shivam Patel, Sansriti Ishwar, Veer Parmar, Simran Kachchhi, Utsavi Patel, Hardikkumar Jayswal, Axat Patel Abstract - Moisture content identification in soil is crucial for various applications in agriculture, construction, and environmental monitoring. Traditional methods for moisture detection often involve labor-intensive processes and specialized equipment which can be invasive, time-consuming, and expensive. This study explores use of spectrometry data, acquired through multispectral sensors using visible light and near-infrared (NIR) spectrum ranging from 400-1000nm, for rapid and accurate moisture identification in soil and sand samples. The sensors leverage on-chip filtering to integrate up to eight wavelength selective photodiodes into a compact 9x9mm array, facilitating the development of simpler and smaller optical devices. The neural network model compromises of input layer, one hidden layer, and an output layer, developed using Tensor-flow and Keras libraries. It was trained using the Adam optimizer and sparse categorical cross-entropy loss function for 35 epochs with a batch size of 16. Results indicate that the neural network model and appropriate classifiers can successfully classify soil moisture levels into 4 distinct categories based on given dataset, demonstrating its potential as a cost-effective and efficient alternative to traditional soil moisture measurement techniques.
Authors - Ruby Chanda, Reena Lenka Abstract - E-games and gamification stand out among the innovative pedagogical techniques brought out by the swift integration of digital technology in educational settings because of their capacity to revolutionize the learning process. In order to outline the development, present trends, and future research directions on e-games and gamification in education, this study uses a predictive bibliometric analysis. Using an extensive dataset of Scopus publications from large academic databases, we use cutting-edge bibliometric methods to pinpoint important research themes, significant figures, and foundational works in this emerging subject. Our study displays that, particularly in the previous ten years, there has been a perceptible upsurge in scholarly interest in and publications about e-games and gamification, which is indicative of the rising understanding of these technologies' capacity to engage and encourage students. The study shows that this research area is multidisciplinary, with notable contributions from computer science, psychology, educational technology, and game design. The design and execution of educational games, the psychological principles behind gamified learning environments, and the effectiveness of gamification in improving learning outcomes are among the key study areas that have been highlighted. Our study offers useful insights for academics, educators, and policymakers looking to maximize the educational potential of e-games and gamification by identifying existing tendencies and predicting future developments. In addition to highlighting the current status of research, this predictive bibliometric study also lays out a roadmap for future studies and applications in the digital frontier of education.
Authors - Ruby Chanda, Vanishree Pabalkar Abstract - The revolutionary potential of artificial intelligence (AI) to improve agricultural practices and outcomes in India is examined in this research. India, a country that depends mostly on agriculture, has many difficulties, such as erratic weather patterns, pest infestations, and ineffective resource management. Artificial intelligence (AI) technologies provide creative answers to these issues, including machine learning, predictive analytics, and IoT-enabled gadgets. AI has the capacity to analyse enormous volumes of data and deliver timely insights and practical recommendations to farmers, resulting in increased agricultural yields, more efficient use of resources, and sustainable farming methods. This paper looks at the use of AI in Indian agriculture today, namely in the areas of automated irrigation systems, insect detection, and precision farming. It also covers the socioeconomic effects of AI adoption, emphasising how farmers could benefit from higher productivity and profits. In order to fully realise the benefits of artificial intelligence (AI), the study finishes with an analysis of the opportunities and obstacles related to its deployment in the Indian agriculture industry. It emphasises the necessity for supportive policies and infrastructure.
Authors - Ruby Chanda, Reena Lenka Abstract - This invention utilized image processing to achieve the MCQ revision in an extremely simple way. It creates extraordinary work to arrange to eliminate the boundaries of multi-decision evaluation remedies. We are here utilizing the Open-Source PC Vision Library (Open CV) to process and address the responses. The utilization of Numerous Decision Questions (MCQs) to test the information on an individual has been expanded progressively. These tests can be assessed either utilizing OMR innovation or physically. Continuously, it is very challenging to have an OMR machine under all conditions, and simultaneously, manual adjustment is tedious and mistake-prone. These disservices have been conquered in our proposed framework by utilizing an advanced picture-handling strategy to address the responses on the OMR sheet.
