9th International Conference on ICT for Sustainable Development

Authors - Anjana Ajith, Kevin C Varghese
Abstract - The purpose of this study is to investigate how users in the banking and financial services industry see Voice Artificial Intelligence (Voice AI). The study investigates user views on Voice AI's usability, security, accessibility, and convenience of use for managing finances by utilizing survey data. The analysis also looks into how much users trust Voice AI for banking functions. The study intends to determine factors impacting user adoption of Voice AI in banking by comprehending these user perspectives. By addressing user issues and encouraging broader adoption, this knowledge can enable banks to create user-centric voice banking services that will influence the direction of financial management using speech artificial intelligence (AI).

Authors - Vitor Alves, Florentino Fdez-Riverola, Jose Neves, Jorge Ribeiro, Henrique Vicente
Abstract - The evolution of Smart Cities (SCs) underscores the critical need to harmonize technological advancements with the human element. This study probes into the strategies and impacts of boosting inhabitant contentment and the efficacy of services by valuing the emotional and psychological needs of the populace in the digital urban milieu. We assert that the intelligence of a city transcends its technological base to include its attunement to the residents' emotional health. Employing an interdisciplinary lens, merging urban planning and psychological analysis, we scrutinize the ethical collection and incorporation of emotional and psychological data into municipal functions and policymaking. Moreover, are examined both the advantages and possible challenges of this empathetic approach, particularly privacy issues and the necessity for comprehensive frameworks to interpret emotional data or knowledge. One’s research indicates that SCs endeavors that integrate aspects of emotional intelligence cultivate an environment wherein technology amplifies the human experience, culminating in a more encompassing and reactive urban habitat.

Authors - V. Rajeshram, Abishek R, Ajay Vishwa R, Hemandh M S
Abstract - Automatic Pronunciation analysis (APA) is an innovative language learning tool designed to revolutionize the way individuals acquire and perfect their pronunciation skills. Built upon advanced speech recognition and machine learning technologies, offers a real-time, personalized, and effective solution for learners of all levels. This groundbreaking system operates by capturing the user's spoken language input and meticulously analyzing it in comparison to the desired target pronunciation. Leveraging deep neural networks, acoustic modelling, and phonetic analysis, then can swiftly identify and assess pronunciation errors, enabling users to pinpoint areas of improvement. The APA provides immediate, constructive feedback, highlighting specific mispronunciations and offering visual representations for enhanced learning. Key features of the APA include its adaptability to a wide range of languages and dialects, making it a versatile tool for learners from diverse linguistic backgrounds. It can be integrated seamlessly into language learning applications, e-learning platforms, or used as a standalone tool for self-improvement or by educators and speech therapists. In this survey, explore the APA's architecture, capabilities, and its transformative potential in the realm of language learning and education.

Authors - Cincy Lucy Abraham, Nidhin V R, Nikhil P Nair, Parvathy Venugopal
Abstract - The study aims to examine user satisfaction with chatbots used for customer service or grievance or, redressal, customer inquiry, focusing on problem solving efficiency, response accuracy, and overall user experience. Additionally, it evaluates the quality of communication and degree of personalization in chatbot interactions as well as how these factors influence consumer trust and perception of company image. The study uses a robust research design that outlines the methods of collecting and analyzing data to answer specific research questions. The formulation of a set of questions for each in depth interview is guided by the research objectives. These questions explore various aspects of chatbot interactions such as problem-solving process, response accuracy, communication clarity, user experience, personalization and influence on consumer trust. The findings obtained from this study provide valuable understandings into the effectiveness of chatbots in customer service roles along with suggestions for improving their problem-solving efficiency and personalization. The balance between scripted, automated and the chatbot’s ability to provide adaptive and personalized interactions are also discussed. This research adds to our knowledge about chatbot interactions and how they affect consumer satisfaction and company image.

Authors - Amita Verma, Simran Sankhyayan, Karan Jawanda, Sasha Tandon
Abstract - Generative AI, with its wide range of advantages, has not only transformed the workings of the world but also proved itself as a hallmark of the digital revolution. Generative AI has found applications across various domains, from image and text generation to drug discovery and music composition. However, along with its potential benefits, generative AI also poses significant ethical concerns, including the potential for misuse and the perpetuation of biases present in the training data. Therefore, it is crucial to consider the risks and benefits of this technology. The intersection of generative AI and cybersecurity presents a complex landscape fraught with legal issues and technical challenges. The generation of synthetic data by AI models may inadvertently violate privacy laws, facilitate new ways of cyberattacks, raise questions about consent, anonymization, and data ownership. Detecting and mitigating threats stemming from AI-based content present formidable technical challenges for cybersecurity professionals. Traditional methods of threat detection may prove ineffective against sophisticated AI-generative attacks. Effectively navigating these challenges requires collaboration among policymakers, legal experts, technologists, and other stakeholders to develop comprehensive frameworks that promote innovation, protect individual rights, and safeguard against emerging cyber threats. Ethical development and deployment of generative AI systems requires a holistic approach that prioritizes transparency, accountability, and societal well-being. By addressing these issues proactively, we can harness the transformative potential of generative AI while ensuring a secure and resilient cyber landscape for the future.

Authors - Ritesh Vernekar, Ashok S. D., Raghuttam P. B., Nalini C. I., P.C.Nissimagoudar
Abstract - This study employs the Velodyne VLP-16 LiDAR sensor alongside the LeGO-LOAM algorithm to generate high-definition (HD) maps. Known as LeGO-LOAM HD, our approach focuses on accurately estimating the posture of objects in real-time across different environments. Lightweight nature of our architecture enables efficient posture evaluation on low-power embedded systems. LeGO-LOAM HD effectively utilizes the ground plane for point cloud segmentation and optimization, effectively eliminating noise and identifying planar and edge characteristics. To modify the posture with six degrees of freedom between consecutive scans, a twostep Levenberg-Marquardt optimization strategy is employed. Comparative tests have proven that LeGO-LOAM HD delivers reliable outcomes while demanding less processing power. This system has been seamlessly integrated into a SLAM framework designed to cater to various mapping applications. By introducing a customized strategy, this research contributes to the field of autonomous navigation and mapping, enhancing the creation of high-definition maps even in challenging conditions.

Authors - Deepshikha, Avinav Krishna
Abstract - The purpose of the Digital Product Passport (DPP) is to offer standardised "track and trace" data on a product's origin, composition, possibilities for repair and disassembly, and management at the end of its useful life. In addition to supporting a low-carbon transition by advancing a circular economy, the DPP seeks to remove current barriers including communication gaps. The DPP has the ability to push decisions towards sustainable development by giving relevant information about a product to various actors, including waste management firms and consumers. This information can be given to consumers during the procurement and utilisation phase of the product, and to waste management units during the disassembly and recycle or reuse phase. In this paper we discuss an IOT based system in context of India since EU nations are pursuing DPP with great concern. Possible challenges and expert reviews have also been discussed.

Authors - Suruchi Pandey, Rajesh Chandwadkar
Abstract - Metaverse is emerging technology evolution, touching human species in immersive way through virtual with real world interactions. Metaverse applications are gaining popularity in various industries and academic fields, including marketing, art, design, manufacturing, analytics, training, and development. This study provides a prospective on uses of Metaverse for training and development within human resource management function of companies. Organizations need effective ways for skills enhancement for its workforce to ensure sustainability of its resources in sync with business needs. The study explores the emerging trends in training and development using the metaverse based technologies. In this review paper bibliometric and content analysis methods were used. In this study a total of 293 articles and 20 case studies were explored in the field of metaverse application in training and development. This comprehensive analysis provides insight into latest trends in researcher community as well the industry practitioners working in the field of Metaverse. .

Authors - Vijay Khare, Vidhi Gupta, Lakshya Agarwal, Ramit kumar
Abstract - In today's rapidly changing world the number of vehicles is increasing along with the population. Large flow of automobiles causes traffic congestion especially due to poor traffic management. Traffic jams not only leads to significant time wastage for commuters but are also economically expensive in terms of fuel consumption and environmental hazards. Many recent studies have shown how traffic jams increase stress levels and thus can have negative psychological impacts. Therefore, our proposed system, which is a real-time vehicle counting model is integrated with traffic signal control systems to optimize traffic flow which helps to potentially achieve more efficient traffic management, reduce congestion, and enhance overall transportation operations.

Authors - Seemantinee Sengupta, D.S.Venkatesh, Ganesh Khadanga, Sunish Kumar, Shanmuga Sundari.S, Surendranath Karupothu, Saurav Chaudhary, Deepak Chandra Misra
Abstract - The Digital India-Land Records Management Programme (DILRMP) has been given top priority by the Indian government. Approximately 98 million land parcels are distributed across 6.54 lakh revenue villages in the country1. Conclusive land titling is becoming more and more important, thus it is now essential to give each plot a Parcel ID in order to identify it clearly and uniquely. Other nations (the US, Europe, etc.) have also started similar parcel-pixel connection projects. In order to facilitate the same, the Department of Land Resources (DoLR) (https://dolr.gov.in) requested NIC to devise a scientific approach for developing a formula or algorithm. It is anticipated that the following concept and algorithm will be practically implementable in our nation based on NIC's experience in the development and maintenance of land records and cadastral map management software, across the states. This flagship initiative includes the Unique Land Parcel Identification Number (ULPIN). Based on the land parcel's longitude and latitude coordinates, the identification is made possible thorough surveys and georeferenced cadastral maps. NIC's cadastral mapping software BhuNaksha uses the geo-referenced revenue village shape file to generate the ULPIN based on the Electronic Commerce Code Manufacturers Association (ECCMA) guidelines. A land parcel is assigned a 14-digit identifying number. It has undergone extensive testing on agricultural land parcels of diverse sizes, forms, and geometries. This work presents a scientific attempt to create a unique identifier for an agricultural land parcel using the parcel's geo-coordinates while also adhering to established international standards and best practices for land management worldwide.