Volume 13 | Issue 3 |

 Abstract

Storytelling shapes human understanding and brand identity by conveying relatable narratives. Effective advertising uses stories to remain memorable. While many studies explore food identity, research on culinary heritage is limited. This study analyzes 120 surveys from Sector 18, Noida, using PLS-SEM, revealing eight determinants of food heritage and their link to food identity.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Storytelling, Food Heritage, Brand Identity

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ABSTRACT Generation Z (Gen Z) students, born in the digital era, have unique preferences shaped by technology and instant information, relearning how they process and absorb knowledge. Traditional teaching approaches may not fully engage them, making it important to recognize their preferred learning styles. Understanding Gen Z's learning styles is necessary to create productive and engaging educational experiences. In the digital era, students prefer interactive, digitally enhanced and personalized learning techniques instead of traditional lecture-style approaches. The purpose of this study is to examine the learning style preferences of Gen Z students and how these preferences influence their academic performance. This study was conducted using a non-probability, convenience sampling method, collecting data from 135 Gen Z students through surveys. The survey assessed their preferred learning styles based on learning methods. This study found that Gen Z students predominantly prefer interactive, technology supported methods and visually engaging learnings over traditional lecture-based approaches. The findings emphasize the importance of modern, technology-enhanced teaching methods to align with Gen Z's learning preference. Keywords: Gen Z students, learning style, use of technology.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Gen Z students, learning style, use of technology.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research paper introduces a streamlined approach to YouTube comments analysis using Natural Language Processing (NLP), focusing on the extraction, categorization, and analysis of user sentiments. The study distinguishes between positive and negative expressions. The system features a practical application for automated delivery of categorized comments to specified email addresses, providing content creators with prompt feedback. Additionally, a user-friendly web application is developed for visualizing sentiment trends, offering a comprehensive understanding of audience reactions. The integrated approach of comment extraction, sentiment analysis, email notification, and web app visualization for an efficient solution for managing and interpreting YouTube user sentiments

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Natural Language Processing(NLP), Sentiment Analysis, YouTube Comments, Vader Lexicon, YouTube Data API, Data Visualization

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

PosePerfect is an AI-powered system designed to enhance workout efficiency through real-time posture correction and automated exercise tracking. Unsupervised training often leads to form-related injuries and suboptimal results, necessitating a solution that ensures proper movement execution. PosePerfect integrates computer vision and biomechanical analysis to address this challenge, utilizing MediaPipe Pose Estimation to track 33 key anatomical landmarks at 30 frames per second. The system calculates joint angles and movement patterns to validate posture against predefined biomechanical models, delivering instantaneous audio feedback when deviations occur. Additionally, PosePerfect includes an exercise recognition module with a 95\% accuracy rate, ensuring precise movement classification while automatically counting repetitions and logging workout data. Testing with 50 participants demonstrated a 40\% reduction in form-related errors and a 60\% improvement in movement consistency compared to unassisted training. The system also enables long-term performance tracking, allowing users to monitor improvements over multiple sessions. PosePerfect eliminates the need for external wearable sensors, making it an accessible and cost-effective solution for exercise monitoring. It can be deployed in home-based fitness programs, rehabilitation centers, and gym environments, providing a structured and data-driven approach to strength training. With applications in physical therapy, professional sports, and personal fitness, future enhancements will focus on wearable sensor integration, mobile deployment, and AI-driven adaptive training programs to expand accessibility and effectiveness in AI-driven fitness coaching. PosePerfect represents a significant advancement in computer vision-based exercise monitoring, making professional-quality posture correction more accessible to a wider audience.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Computer Vision, Pose Estimation, Biomechanical Analysis, Exercise Monitoring, Deep Learning

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract:The study aimed to evaluate the ability of water hyacinth(Eichhornia crassipes) and basil(Ocimum bacilicum) in waste water purification. The capability of these plants was investigated by measuring Chemical Oxygen Demand (COD), Biochemical Oxygen Demand (BOD), Turbidity, Colour, Hardness, Total Dissolved Solids (TDS), and pH of medium. Hydroponics is used for the growth of basil. Water samples are collected from Karamana river. These plant species are transplanted in wastewater for 30 days. Then various physical and biological parameters of water is assessed. The highest percentage elimination in BOD(76%), COD(60.25%), turbidity(13%), colour(39%), hardness(44%), pH(38%), TDS (33%) was noted with the use of these plants. Taking into account of the obtained results water hyacinth can be used to treat the wastewater in Karamana river.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

TDS,BOD,COD ,water hyacinth, basil

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

-Soil erosion in coastal areas is a critical environmental issue that affects land stability, agriculture, and infrastructure. This study explores the use of Artificial Intelligence (AI) techniques to assess soil erosion rates in the coastal regions of Veli. Machine learning models, remote sensing data, and Geographic Information System (GIS) technologies are integrated to develop a predictive framework for soil erosion assessment. The study aims to provide an accurate and automated method for monitoring and mitigating erosion risks.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Soil erosion, coastal erosion, veli, Artificial Intelligence (AI)

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

?????? ???? ?? ?????? ??? ?????????? ?????? ?? ??? ??? ????????? ???? ?? ????? ???? ?? ??? ???? ??????????? ??????? ???? ?? ???? ??????? ?? ??? ??? ??? ????????? ?????? ???? ?? ???? ??? ??????? ?????? ?? ??? ???????? ???? ??? ????-???? ?????? ?? ???? ???? ???? ?? ???? ?? ????? ????? ?? ?????? ?? ?? ????? ???? ???? ??? ???????? ??? ??? ???????? ???? ?? ????????????? ?? ??????? ??????? ?? ??? ???? ???? ??????? ????? ?? ?????? ?????????? ?????? ???? ??? ??? ???????? ?? ??? ??? ????????? ??? ?? ???? ???????? ?????????? ??? ???????? 170 ????????????? ?? ??? ???? ?? ???? ?? ????????? ???????? ???? ?????? ???? ???? ?????? ?? ?????? ???? ??0 ?0.??0 ???? ??? ??0 ????????? ?????? ??????? ??????? ????? ????? ?? ?????? ???? ??? ????????????? ?? ??????? ??????? ?? ???? ???? ???????? ?? ??? ???? ?????? ???? ???? ???????? ??? ?? ???????? ??? ????????? ????????????? ?? ??????? ????? ?? ??? ???? ???? ??? ? ????? ???? ???? ??? ??? ???? ??????? ??????? ?? ???? ??????? ????? ?? ?????? ?????? ???? ????

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

??????? ????? ??????? ???????

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

? Leveraging the capabilities of computer vision, the project aims to facilitate communication for individuals who are deaf or hard of hearing by providing a seamless and intuitive method for translating sign language into readable text. ? The real-time processing of live video allows for immediate feedback and interaction, making the system a valuable tool for enhancing accessibility and bridging communication gaps.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Using python

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In India, we have more than 900 million mobile users but still mobile banking is used by 40 million customers approximately. There can be various reasons behind this, such as need of active collaboration between banks andTelecom Company, lack of accessibility to customers, cost, awareness about the mobile banking app etc. Banks have to work on creating mobile banking awareness among the customers. They need to promote the benefits of mobile banking and its effectiveness. In this paper, we aim to determine customer perception about mobile banking services of banks. Customer has different views on mobile banking services provided by their service providers. We examinethe expectations of customers from banks towards mobile banking system. In this paper we also evaluate the impact of mobile banking on customer experience after using mobile banking. This paper reflects the change in transactions mode of customers through mobile banking. This paper also shares the initiatives taken by customers in their banking usage after switching to mobile banking. For the survey, we have selected ten banks (five public sector and five private sector banks) and tried to identify the characteristics of mobile banking system of these banks.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mobile Banking,customer,technology

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ABSTRACT The present study was carried out regularly from the month of September to December 2024 on the diversity of butterflies in the study area of Bandh Talav Kudwa, district Gondia Maharashtra. The butterflies are reported and identified up to species from the study area. Butterflies are diurnal which actively fly during late morning but less active in early morning and evening. Total 66 species belonging to 49 genera under 5 families viz., Papilionidae (4 species), Pieridae (6 species), Nymphalidae (28 species), Lycaenidae (19 species) and Hesperiidae (9 species) are observed and reported from Bandh Talav Gondia Maharashtra. Four species of family Papilionidae are reported under three genera while six species of family Pieridae are reported under three genera belonging to two sub- families namely Pierinae and Coliadinae. Twenty eight species of family Nymphalidae are reported under 18 genera belonging to 6 sub-families are Satyrinae, Biblidinae, Nymphalinae, Limennitidinae, Charaxinae and Heliconiinae. Nineteen species of family Lycaenidae are reported under 3 sub families Polyommatinae, Aphnaeinae and Theclinae. Nine species of family Hesperiidae are reported under 3 sub-families Coeliadinae, Pyrginae and Hesperiinae. In the present investigation most of the butterflies were attracted to visit dominant host plants namely Lantana camara (Tick -berry) followed by Alternanthera sessilis (Sessile Joyweed), Alternanthera ficoidea (Snow carpet), Tephrosia perpurea (Jangli neel), Catharanthus roseus (Rose periwinkle), Oryza sativa (Rice plant). In present study it was remarkable that above 80 % of the butterflies found on host plant Lantana camara (Tick-berry) from Bandh Talav Kudwa, Gondia.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Butterfly, Diversity, Lantana camara, Bandh Talav, Gondia

  License

Creative Commons Attribution 4.0 and The Open Definition