Category Archives: Uncategorized

Authors: Mrs. R. Santhiya, Dr. P. Ashok Kumar

Abstract: This study examines the multi-horizon interdependence between macroeconomic conditions and stock market volatility in two major developing economies, India and China, using annual data for the period 1991 to 2024. The analysis incorporates key macroeconomic indicators, namely Gross Domestic Product (GDP), inflation, exports, imports, and gross capital formation, together with stock market indices represented by the NIFTY 50 and SSE Composite Index. The dataset is obtained from the World Bank DataBank and investing.com, ensuring consistency and reliability across countries. The study adopts a comprehensive econometric framework by first applying Unit Root tests to determine the stationarity properties of the variables, followed by the Johansen Cointegration test to examine the existence of long-run equilibrium relationships between macroeconomic fundamentals and stock market movements. The Vector Error Correction Model (VECM) is subsequently employed to capture both short-run dynamics and long-run adjustments. To further explore time-varying interactions across different frequencies and investment horizons, Wavelet Coherency Analysis is utilized to identify co-movements, lead–lag relationships, and volatility transmission mechanisms between macroeconomic factors and stock markets. The findings are expected to reveal significant long-run integration and heterogeneous time-frequency dependencies, with GDP, trade activities, and capital formation exerting stronger influences over medium- and long-term horizons, while inflation predominantly affects short-term volatility. The study contributes to the literature by providing comparative evidence on macro-financial linkages in developing economies and offers valuable implications for policymakers, investors, and financial market regulators.

DOI: http://doi.org/10.5281/zenodo.20760756

Published by: vikaspatanker

Authors: Sai Kumar S L, Ramu B T, Mallikarjun Heroor, B M Shree Lakshmi, Dr. Mydhili Nair

Abstract: For exponential growth of user-generated content (UGC) on video-sharing platforms necessitates the development of highly efficient and scalable automatic content moderation and spam detection algorithms. Traditional manual review techniques are overwhelmed by the sheer volume and real-time nature of video uploads, which leads to unequal enforcement, moderator fatigue, and prolonged exposure to harmful content. This work offers a unique, multi-modal Video Content Moderation and Spam Detection tool that applies artificial intelligence and machine learning to handle these problems. To detect violent, sexually explicit, and policy-violating pictures, the system incorporates sophisticated Computer Vision (CV) techniques, such as frame-by-frame analysis, object detection, and visual hashing in order to identify hate speech, harassment, fraudulent schemes, and spam indications (such as harmful URLs, repetitive content, and behavioural anomalies), Additionally, it analyses video titles, descriptions, and comments.

DOI: http://doi.org/10.5281/zenodo.20758833

Published by: vikaspatanker

Authors: Assistant Professor Dr. K. N. Kazi, Bandgar Pooja Kisan, Chavan Sahil Sanjay, Mali Nikhil Vikas

Abstract: Rising energy consumption and increasing electricity costs have created a need for intelligent energy management systems. This paper presents an AI-Powered Voice-Controlled Energy Tracking and Bill Prediction System developed using Java Full Stack technology and Machine Learning techniques. The proposed system enables users to monitor real-time energy consumption, predict future electricity bills, and interact with the system through voice commands. Historical energy usage data is analyzed using machine learning algorithms to forecast future consumption patterns and billing amounts with improved accuracy. The voice-controlled interface enhances user convenience and accessibility by allowing hands-free operation and quick access to energy-related information. The system integrates a responsive web application, database management, and predictive analytics to provide a comprehensive energy monitoring solution. Experimental results demonstrate that the proposed model effectively tracks energy usage, generates accurate bill predictions, and promotes energy-saving behavior among consumers. This solution contributes to the development of smart energy management systems and supports efficient utilization of electrical resources in residential and commercial environments.

DOI: http://doi.org/

Published by: vikaspatanker

Authors: Bhonde Vrushali Baban, Patil Renuka Rajendra, Wakle Anita Ashok, Kulkarni Mrunmayee Mangesh, Archana Sachin Gaikwad, Poornima Nandu Pathak

Abstract: SMS spam is becoming more frequent as spammers use it to reach their targets. Although spam messages can be annoying, they can also be dangerous because they might try to steal personal information or direct users to harmful websites. This work explains how SMS spam is detected. It describes the different types of spam, the features used to find them, and the methods used to stop them. We also talk about some of the difficulties in identifying SMS spam and possible future methods to deal with them.

DOI: http://doi.org/10.5281/zenodo.20757483

Published by: vikaspatanker

Authors: Vivek Saindane, Kashish Kazi, Shraddha Bute, Saher Raje, Sushama Punde, Devyani Sharma

Abstract: The rapid growth of electric vehicles (EVs) is stressing the need for intelligent, scalable charging infrastructure. This survey of 18 IEEE studies (from 2020–2025) examines cloud- and edge-enabled EV charging station location and booking systems. We chronologically synthesize each work, highlighting methods (e.g. mixed-integer programming, metaheuristics, game theory, digital twins, block chain, and privacy-preserving algorithms) and key findings. Gaps emerge in integrated reservation models, dynamic spatio-temporal demand, and user privacy. We identify research needs such as privacy-aware locators, real-time scheduling, and cloud-edge architectures. We propose illustrative system designs and mixed-integer models (for station placement and reservation scheduling) and offer design suggestions for future EV locator/booking platforms. These contributions lay the groundwork for dynamic optimization and secure, user-centric EV charging services.

DOI: http://doi.org/10.5281/zenodo.20757358

Published by: vikaspatanker

Authors: Assistant Professor Mrs. Pratibha Makar, Ms. Priyanka Kamthe, Ms. Shewta Dandwate, Dr. Vijaykumar Kale, Associate Professor Dr. Mahesh Thakare, Assistant Professor Mr. Vaibhav Narawade

Abstract: Cosmetics are unbelievably in demand since historical time. These days people prefers naturally derived cosmetic products. Cosmetic plays a important role in today’s life style. Along all cosmetic products, Natural lip balm preprations are most widely used to increase the beauty of lips and add glamour touch and shine to the beauty. Herbal formulation is a sign of safety, satisfaction and surety as less or no harm to the users and so herbal Lipbalm can be made without the colors being compromised on. Lip balms provides a natural way to promote healthy and moisturized lips. Coloring lips is the ancient practice to increase the beauty of lips and to give shine to the face. Current cosmetic lip products are based on use of toxic chemical ingredients with various adverse effect. That’s why it leads to study natural ingredients used to production of natural lip balm. This lip balm is formulated according to the scientific procedure and evaluated as per standard requirements. This article reviews on the natural ingredients used for natural lip balm along with their advantages and disadvantages. The present study focuses on the formulation and evaluation of a herbal lip balm using natural ingredients with moisturizing, healing, and protective properties. Herbal cosmetics have gained significant popularity due to their minimal side effects and enhanced therapeutic value compared to synthetic products. The lip balm was formulated using natural waxes, oils, and herbal extracts such as beeswax, coconut oil, almond oil, shea butter, and plant-based coloring or flavoring agents. Different formulations were prepared by varying the concentration of ingredients to obtain an optimized product with desirable characteristics. The prepared herbal lip balm formulations were evaluated for various physicochemical parameters including color, odor, pH, spreadability, melting point, stability, homogeneity, and skin irritation. The formulations showed good consistency, smooth application, acceptable stability, and no signs of irritation during the study period.

DOI: http://doi.org/

Published by: vikaspatanker

Authors: Syed Ibrahim Hussain, Mahad Ansari, Mr.Kareem Basha

Abstract: Today, the brand new digital economy has revolutionized the way people travel and find a place to stay through platforms like Airbnb. For this purpose, this project is dedicated to delving into Airbnb data with the help of efficient data visualization methods to reveal significant patterns and insights. The study, by analyzing various factors such as pricing location types of rooms, availability, and customer reviews, is aiming at finding the answer to how different variables affect listing performance and user preferences. Through the use of visualization software, not only are complex datasets opened up in a simple and interactive visual manner like charts, graphs, and maps but it also becomes much easier to recognize the patterns and associations. Besides hosts, guests, and platform developers, the project also showcases the great potential of data visualization in enabling them to make better decisions. In short, this work illustrates the tremendous impact of visual storytelling in turning huge datasets into simpler ones and at the same time, providing useful insights in a real-life situation.

DOI: http://doi.org/10.5281/zenodo.20747004

Published by: vikaspatanker

Authors: Isse Sudi Mohamed

Abstract: This study attempts to close a research gap by examining the relationship between innovation and Somalia's commercial banks' competitiveness. The study's primary objective is to assess how innovation could increase the competitiveness of commercial banks. In particular, the study examines the relationship between financial innovation and commercial bank competitiveness, the impact of innovation strategy on commercial banks' competitive position, and the role of technical innovation on competitiveness. The study uses two primary research designs: predictive and explanatory. To shed light on the strength of the relationship between two or more variables at a particular moment in time, an explanatory correlational design was used. Structured questionnaires were used to gather primary data, and cross-sectional and correlational study methodologies were used. A sample of 86 respondents was chosen from the 110 members of the target demographic. The questionnaire's demographic part recorded the respondents' age, gender, marital status, and educational attainment. To guarantee accuracy and consistency, data analysis was carried out in tandem with data gathering. The study's conclusions offer commercial banks doing business in Somalia useful information. The study provides banks with useful advice on how to improve their capacity for innovation in order to get a competitive edge by documenting different types and methods of financial innovation. The findings show that bank competitiveness is significantly impacted by financial innovation and innovation strategy, but there is little correlation between technological innovation and competitiveness. Based on this conclusion, the report advises bank management to put in place efficient systems to improve internal innovation processes, especially by bolstering organizational and technology innovation practices.

Published by: vikaspatanker

Authors: Sonali Mohan Patil, Sayali Devidas Tarle, Latesh Jitendra Patel, Hrutvik Sanjay Rane, Assistant Professor Reshma Chhaburao Sonawane

Abstract: In this paper, we present TimeBank, which functions as a web application that enables Indian employers to establish and fill hourly employment positions. This initiative aims to address the problems associated with temporary labor. The service provides open-access structured hourly employment services which differ from Uber and Swiggy that limit their work to assigned tasks and Indian gig portals which primarily offer full-time job and long-term contract and project-based freelance work. The application uses a secure MERN stack architecture and includes features like real-time job posting and smart search and filtering and built-in time tracking and secure wallet-based payment gateways and a transparent rating and review system. The platform serves as the primary resource for student freelancers and employers who need to hire workers on an hourly basis with quickness and responsibility.

DOI: https://doi.org/10.5281/zenodo.20744200

Published by: vikaspatanker

Authors: Shreya Chavan, Mayuri Patil, Aarya Pawar, Professor Jayshri Kandekar

Abstract: Road traffic accidents continue to be an major global safety concern due to human error, delayed emergency response, and a lack of predictive monitoring systems. This paper presents an Integrated Intelligent Vehicle Safety System (IIVSS), a hybrid IoT and Artificial Intelligence-based frame-work designed for real-time accident prediction and automated emergency response. The proposed system integrates IMU and GPS sensor fusion with edge-level processing and cloud analytics to detect abnormal driving patterns and predict potential colli-sions. Unlike traditional reactive accident detection systems, the proposed architecture enables predictive safety analysis through anomaly detection algorithms and automated alert generation. The experimental evaluation demonstrates low latency response, reliable communication, and high detection accuracy. The sys-tem provides a scalable, cost-effective and intelligent solution for next-generation smart transportation and connected-vehicle ecosystems.

DOI: https://doi.org/10.5281/zenodo.20744104

Published by: vikaspatanker