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All Journal International Journal of Applied and Advanced Multidisciplinary Research (IJAAMR)
Anuja Phapale
AISSMS Institute of Information Technology
Humanities Civil Engineering, Building, Construction & Architecture Economics, Econometrics & Finance Education Social Sciences

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Journal : International Journal of Applied and Advanced Multidisciplinary Research (IJAAMR)

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Psychological Emotion Recognition of Students Based Chatbot Atharva Senapati; Anuja Phapale
International Journal of Applied and Advanced Multidisciplinary Research Vol. 1 No. 3 (2023): November 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v1i3.565

Abstract

In the context of modern education, where students' emotional well-being plays a crucial role in academic success, the integration of technology, particularly machine learning-based chatbots, presents a promising avenue to support and recognize the psychological states of students. This paper delves into the development and evaluation of a chatbot system designed to recognize and respond to the emotions expressed by students. Leveraging natural language processing and sentiment analysis, the chatbot engages in conversations with students, allowing for the real-time recognition of emotional states. Our study does not only focus on the technical aspects of emotion recognition but also exploration the implications and ethical considerations of deploying such technology in educational settings. By shedding light on the potential of machine learning-based chatbots to enhance emotional support and understanding within educational environments, this research contributes to the ongoing dialogue on students well-being and the role of technology in education.
Fortifying Data Security: Node.js Authentication, Authorization, and the Dark Web Influence in Modern Web Apps Sarthak Shah; Anuja Phapale
International Journal of Applied and Advanced Multidisciplinary Research Vol. 1 No. 3 (2023): November 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v1i3.679

Abstract

This paper delves into the crucial aspects of authentication and authorization in modern web applications with a focus on enhancing data security. It explores the use of Node.js, a versatile server-side language, for building web applications and discusses the significance of a secure website for establishing trust between clients and servers. The research covers the implementation of authentication using packages and hashing algorithms, emphasizing the importance of "salt" and "pepper" for password security. Authorization methods, including cookies, sessions, and middleware, are also explored. The paper highlights the necessity of robust security measures to safeguard user data from the dark web and points to future directions in web security, including the role of blockchain and artificial intelligence in the WEB3 landscape.
Traffic Flow Prediction on Road using Machine Learning Anuja Phapale; Sushant Shravagi
International Journal of Applied and Advanced Multidisciplinary Research Vol. 2 No. 1 (2024): January, 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v2i1.690

Abstract

The Intelligent Transportation System (ITS) plays a vital role in numerous smart city applications, particularly in improving transportation and commuting processes. A primary goal of ITS is to tackle traffic-related challenges, especially the issue of traffic congestion. The prediction system for road traffic flow has significant relevance in urban transportation and area management. Many urban centers grapple with the daunting task of effective traffic management. However, the incorporation of predictive modeling that considers environmental and weather conditions, such as rainfall and thunderstorms, has proven to be remarkably effective. In response to this challenge, we have introduced a road traffic flow prediction model specifically designed to forecast traffic conditions at hourly intervals extending up to 24 hours. Although various algorithms have been applied in previous research, there is a notable absence of accessible and user-friendly platforms dedicated to road traffic flow prediction.
A Decade of Research on the Effectiveness of Augmented Reality on Students with Special Disability in Higher Education Anuja Phapale; Aditya Shiledar
International Journal of Applied and Advanced Multidisciplinary Research Vol. 2 No. 1 (2024): January, 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v2i1.709

Abstract

This short article summarizes a decade of research on the effectiveness of augmented reality (AR) in higher education for students with disabilities in particular. The study examines how AR technology has been used to enhance the learning experience of these students. Through a comprehensive review of multiple studies and findings, this study examines the impact of AR on access, engagement, and overall educational outcomes for students with unique disabilities. The findings highlighted significant progress in the field, shedding light on the potential of AR to provide inclusive and effective learning environments for this student population, thereby contributing to a broader discussion of technical and higher education.
Co-Authors Aditya Shiledar Atharva Senapati Sarthak Shah Sushant Shravagi