Category Archives: Uncategorized

Authors: Vipul Kanhere, Suraj Sonar, Atharva Awale, Pranav Shinde, Savita Biradar

Abstract: Software developers dedicate a substantial portion of their time to comprehending existing code, a challenge that intensifies as codebases grow in scale and complexity. Code Explanation Generators and Code Insight SaaS platforms have emerged as promising solutions, leveraging large language models to transform source code into accessible natural language explanations. This survey presents a comprehensive examination of code explanation technologies, tracing their evolution from traditional template-based and rule-based approaches through neural sequence models to contemporary LLM-powered systems. We establish a taxonomic framework for categorizing explanation tools across dimensions including target audience, explanation granularity, architectural approach, and deployment model. Our analysis encompasses commercial platforms, open-source implementations, IDE integrations, and lightweight web applications built on frameworks such as Streamlit that enable rapid development and free cloud deployment. The comparative analysis reveals significant consolidation around large language model approaches, with differentiation increasingly based on interface design, prompting strategies, and deployment architectures rather than fundamental algorithmic differences. Despite remarkable progress in explanation quality and accessibility, we identify persistent gaps including primitive granularity adaptation mechanisms, absent interpretability features for reliability assessment, inadequate privacy-preserving deployment options, limited contextual awareness beyond isolated code snippets, and evaluation methodologies that fail to capture developer-centric comprehension outcomes. Based on these findings, we propose future research directions encompassing improved evaluation frameworks grounded in task- based assessment, interpretable explanation generation with confidence indication, domain-specific adaptation for specialized contexts, and responsible deployment practices addressing privacy, accuracy, and equitable access. This survey provides structured guidance for researchers advancing code explanation capabilities and practitioners developing or adopting explanation tools.

Published by: vikaspatanker

Authors: Rishi Kumar

Abstract: Timely detection of plant stress is a major challenge in agriculture, as conventional monitoring methods rely on visible symptoms that often appear after irreversible physiological damage has occurred. This delay contributes to significant crop losses, inefficient water use, and reduced agricultural sustainability. PhytoLink is a conceptual plant-monitoring system designed to address this limitation by translating plants’ internal electrical signals into early, actionable warnings. Plants generate distinct bioelectrical responses to stress factors such as water deficiency, disease onset, and environmental changes, which can be detected before external symptoms become visible. PhytoLink proposes a non-invasive bio-electronic interface that captures these electrical signals, processes them using signal analysis techniques, and delivers clear alerts to farmers and gardeners, enabling intervention more than 48 hours in advance. By shifting plant care from reactive to proactive management, PhytoLink has the potential to reduce crop losses by 30–50%, conserve water resources, and improve decision-making in precision agriculture. This paper presents the conceptual framework, working principle, applications, and future scope of PhytoLink as an innovative tool for sustainable and intelligent plant care.

DOI: http://doi.org/10.5281/zenodo.18045548

Published by: vikaspatanker

Authors: Nimesh Agrawal, Mrs. Priyanka Bamne, Mr. Ranjeet Vishwakarma

Abstract: The exponential growth of e-commerce has led to an overwhelming abundance of products, making it challenging for consumers to find items that align with their preferences. Product recommendation systems have emerged as essential tools to enhance user experience by providing personalized suggestions. This paper delves into various recommendation methodologies, including collaborative filtering, content-based filtering, hybrid approaches, and deep learning techniques. It also explores the challenges faced in implementing these systems, such as scalability, cold-start problems, and data sparsity. Furthermore, the paper discusses evaluation metrics and real-world applications, providing insights into the effectiveness of different recommendation strategies.

DOI: http://doi.org/10.5281/zenodo.18046514

Published by: vikaspatanker

Authors: Dinesh Kunwar Patel

Abstract: This paper describes the design, software architecture, capabilities, and educational deployment of Robot Shalu, a low-cost, social and educational humanoid robot developed by a schoolteacher using largely recycled materials. Shalu demonstrates multilingual natural-language interaction (reported 47 languages), basic perception and memory, scripted and AI-assisted pedagogical interactions, and low-cost hardware solutions intended for real-world classroom integration in resource-constrained settings. We present the engineering choices, discuss human–robot interaction (HRI) considerations, review public reception and recognition, identify limitations, and propose rigorous evaluation protocols and next-step research to validate Shalu for broader academic acceptance. The paper aims to bridge maker-community innovation and formal scientific evaluation to support adoption of affordable humanoid educational agents.

Published by: vikaspatanker

Authors: Ms Sujata Sinha

Abstract: This article questions the narrative displacement of men in The Morning Show (2019–present), Apple TV+ by using the lens of feminist television criticism and post-#MeToo cultural discourse. Although the series is usually understood as a timely investigation of workplace harassment and the corporate complicity, the author here is arguing that the most radical intervention of the series is the structural side-lining of male authority. The fall of Mitch Kessler is a metaphor for the decline of patriarchal charisma while those secondary male characters like Chip and Cory, as examples of marginal or alternative masculinities, do not bring male power back. However, the lack of men is not an indication that the patriarchy has been eradicated: the power of men is still there in the corporate boards that are faceless, legal frameworks, and financial imperatives, even if it is in its apparent invisibility. The series by focusing on women's agency, conflict, and solidarity in the newsroom, first, reconstructs broadcast journalism as a feminized space and, secondly, it allows the empowerment contradictions under neoliberal capitalism to be visible. This article, by comparing The Morning Show with contemporaneous texts like Bombshell, She Said, and Succession, is pointing out how televisual narratives are dealing with the afterlives of patriarchy in the wake of #MeToo.

Published by: vikaspatanker

Authors: Megha Garud, Lalit Gaikwad, Prakash Mane, Ranjit Misal, Amey Phatak

Abstract: The rapid growth of Electric Vehicles (EVs) has increased the demand for efficient and accessible charging infrastructure. However, limited availability of public charging stations and uneven distribution create challenges for EV users. This paper proposes an EV Charger Sharing Platform that enables private charger owners to share their charging stations with EV users through a web-based application. The platform acts as a bridge between charger owners, EV users, and administrators by providing features such as charger listing, location-based search, booking, and usage management. Developed using HTML, CSS, and JavaScript, the system improves charger utilization, reduces charging wait time, and supports sustainable transportation. The proposed solution promotes a sharing economy model while enhancing convenience, cost efficiency, and scalability in EV charging infrastructure.

Published by: vikaspatanker

Authors: Sasikanth Reddy Mandati

Abstract: The rapid growth of Internet of Things (IoT) technologies has introduced significant challenges related to system scalability, interoperability, performance, and security. Traditional architectures often address IT infrastructure and risk management separately, leading to fragmented controls and increased vulnerability exposure. This paper proposes an integrated framework that unifies IT fundamentals with structured risk management processes to support secure, scalable, and resilient IoT environments. The framework is designed around key principles including modularity, interoperability, security-by-design, and fault tolerance, enabling seamless integration of heterogeneous devices and platforms. It incorporates edge and cloud computing for efficient data processing, along with continuous monitoring and proactive risk mitigation mechanisms. The framework is evaluated through use case analyses in smart city deployments, wireless cloud-based healthcare systems, and industrial IoT scenarios. The results indicate improved system performance, reduced latency, enhanced security, and effective risk reduction across all use cases. The study demonstrates that integrating risk management directly into IT architecture significantly improves operational reliability and adaptability. The proposed framework provides a practical foundation for developing robust IoT systems capable of supporting complex, large-scale digital ecosystems.

DOI: https://doi.org/10.5281/zenodo.18000025

Published by: vikaspatanker

Authors: Sasikanth Reddy Mandati

Abstract: The rapid proliferation of cloud-enabled Internet of Things (IoT) systems has transformed modern infrastructure, enabling real-time data collection, intelligent automation, and interconnected services across domains such as smart cities, healthcare, and industrial IoT. However, the increasing complexity and interdependence of these systems also expose them to invisible risks latent, cascading, and systemic vulnerabilities that are often overlooked by conventional risk management approaches. This paper presents a comprehensive IT risk management framework designed to detect, assess, and mitigate such hidden risks in cloud-enabled IoT environments. The framework integrates real-time data analytics, anomaly detection, and proactive mitigation strategies to improve system resilience and operational reliability. A case study in a smart city scenario demonstrates the framework’s effectiveness, showing significant improvements in risk coverage, mitigation efficiency, and stakeholder confidence compared to baseline methods. The results highlight the critical importance of addressing invisible risks to ensure secure, reliable, and resilient IoT-enabled systems.

DOI: https://doi.org/10.5281/zenodo.17999954

Published by: vikaspatanker

Authors: Prajwal Chinchmalatpure, Suyash Chinchmalatpure, Sudeep Konde

Abstract: Cyber incidents vary significantly in the mechanisms, targets, and economic impacts they have, so it is significant to determine the factors which are connected to the severity and the economic effects of the incident. This paper is a data-driven analysis of world cybersecurity incidents, 2015-2024 (N=3000), focusing on contextual factors, e.g. country, type of attack, industry, source of attack, type of vulnerability, defensive mechanism, and operational outcomes, e.g. time to resolve the incident, victims, and financial loss (million USD). To surface patterns of incident occurrence and severity-linked outcomes, we describe the threat landscape in the first instance by exploratory distributional analysis, and in the second instance by relational analysis. We subsequently create a financial loss predictive pipeline by estimating a mixed data (categorical encoding and train/test analysis) predictor using common preprocessing of mixed data and a comprehensible baseline regression model. The combination of the empirical and benchmark results allows a clear point of departure to quantitative cyber risk profiling, showing which incident characteristics are too correlated with severity and defining a repeatable baseline to proceed with more detailed features and non-linear modelling methods in future studies.

Published by: vikaspatanker

Authors: Karthiban .R, Sabaripriya .S, Suganthi .R

Abstract: Online Conferencing Application is designed to be a communication platform in real time, which allows users to connect via video, audio, and chat from anywhere. The primary objective of this project is to build a system that is fast, secure, and user-friendly for online meetings, virtual classrooms, and remote collaboration.React.js is used to create the frontend, which gives a responsive and interactive user interface for smooth communication. Node.js is used for the backend, which handles server-side operations, user authentication, and data exchange in an efficient manner. In order to have an instant communication in real-time, Socket.io is brought in which makes it possible to have a live chat, notifications, and user synchronization without any waiting time. This set of modern technologies is what makes the system stable, with low latency, and scalable. To sum up, the Online Conferencing Application is an efficient, dependable, and userfriendly tool for virtual communication, which is in line with the increasing demand of online communication in this digital era. The Online Conferencing Application is a comprehensive web- based platform developed to enable users to conduct virtual meetings, conferences, and collaborative discussions in real time. With the increasing need for remote communication and online collaboration, this application provides an effective solution that integrates multiple technologies to deliver high-quality video, audio, and data transmission over the internet. The frontend of the application is built using React.js, which provides a responsive and interactive user interface for smooth navigation and dynamic updates. The backend is implemented with Node.js and Express.js, which handle API requests, authentication, and socket connections. The system uses Socket.IO to maintain low-latency bidirectional communication between the client and server, ensuring real-time synchronization of audio, video, and messages among all participants.

Published by: vikaspatanker