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Research Paper

The Impact of HMPV on the Real Estate Sector in Maharashtra: Insights from Historical Precedents

The real estate sector in Maharashtra is a cornerstone of economic activity, encompassing residential, commercial, and industrial developments. However, the emergence of high-magnitude public vulnerabilities (HMPVs), such as pandemics, natural disasters, or economic recessions, poses significant challenges to this sector. This research paper explores the potential impact of HMPVs on Maharashtra’s real estate market, drawing parallels with historical events such as the COVID-19 pandemic, the 2008 global financial crisis, and natural disasters like the 2005 Mumbai floods. The paper aims to provide a comprehensive understanding of the challenges posed by HMPVs and recommend strategies for resilience and recovery.

Published by: Shubham Devidas Kulkarni

Author: Shubham Devidas Kulkarni

Paper ID: V11I1-1161

Paper Status: published

Published: January 11, 2025

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Research Paper

Augmented Reality in Education

By integrating digital, interactive content with conventional learning environments, this project explores the potential of Augmented Reality (AR) to improve educational experiences. Using 3D models and real-time animations, AR helps students visualize complex ideas, such as Biology models, Zoology models, Computer Science model and Planetary System models. Making abstract concepts more approachable and engaging. Our implementation creates a flexible learning tool that can be applied across a variety of subjects and educational levels by utilizing AR-compatible platforms, such as Unity and Vuforia. By providing an immersive and memorable learning environment, this approach aims to increase student engagement and enhance comprehension.

Published by: Krishna Santosh Kabra, Harshal Navnath Mane, Ankush Dnyandeo Falke, Sai Abhimanyu Daitkar, Prof. Smruti Saphalika Barik

Author: Krishna Santosh Kabra

Paper ID: V11I1-1163

Paper Status: published

Published: January 11, 2025

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Research Paper

Mindsymphony: A Survey of Brain-Computer Interface Applications in Music Therapy Related Applications

MindSymphony is an EEG-based dynamic music therapy system which displays the potential of BCI (brain Computer Interfaces)in regulating emotional states through real-time monitoring of brainwaves and adapting the music accordingly. This survey examines various current BCI applications in personalized music therapy, focusing on key algorithm methodologies, as well as the various challenges in EEG signal processing and emotion detection. This paper categorizes and compares existing approaches, addressing limitations and proposing strategies to enhance reliability and user experience in BCI-driven music therapy applications. It also discusses potential future research directions. This survey aims to provide a comprehensive overview of BCI-based adaptive music therapy and its applications.

Published by: Tanishq Zade, Anurag Gutte, Sushrut Wankhade, Rahul Gurbani, Prof. Dr. Jayashree Prasad, Prof Anuja Gaikwad

Author: Tanishq Zade

Paper ID: V10I6-1519

Paper Status: published

Published: January 4, 2025

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Review Paper

CropSense: An Integrated Web App to Simulate an ML/DL-Based Decision Support System for Precision Farming and Agriculture

This review explores the integration of machine learning (ML) and deep learning (DL) technologies in precision farming, highlighting the potential of web applications to improve agricultural decision-making through crop and fertilizer recommendations, disease detection, and aerial farm analysis. Precision farming technologies support sustainable agricultural practices by enabling real-time, data-driven insights for optimized resource use and yield enhancement. This review assesses various ML/DL models and their applications, including CNN-based disease detection and recommendation systems that utilize decision trees, neural networks, and satellite data analysis. Key challenges such as data quality, scalability, and security are discussed, along with future directions, including advancements in edge computing and federated learning. By identifying current limitations and prospective improvements, this paper aims to contribute to the development of comprehensive, scalable solutions that are accessible and effective for diverse farming environments.

Published by: Adrian Mathew Aloysius, Dave Joseph Pinto, Narjit Leishangthem, Mohammed Affan, Mr. Shyam Dev R S, Dr. D Roja Ramani

Author: Adrian Mathew Aloysius

Paper ID: V10I6-1514

Paper Status: published

Published: December 31, 2024

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Research Paper

Silicon Dielectric Resonator Antenna

Any wireless network essentially requires an antenna for the network to enable wireless communication. In this paper, a silicon based dielectric resonator antenna, exciting in Hybrid mode, is presented for such applications. The proposed CDRA is designed to operate at 2GHz and simulated at the same center frequency to obtain perfect radiation patterns. This paper gives the key concept of DRA and also, a single element CDRA made with silicon is shown along with some measurement results. The proposed CDRA has the desired patterns, and various other parameters such as Return loss, Gain, Polarization, etc., are further discussed here. The CDRA is simulated in Ansys HFSS, successfully and then fabricated to verify the parameters.

Published by: Badavath Maniratnam Naik

Author: Badavath Maniratnam Naik

Paper ID: V10I6-1497

Paper Status: published

Published: December 31, 2024

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Research Paper

Machine Learning-Based Collaborative Filtering Book Recommendation System

The project aims to develop a book recommendation system tailored to support and inspire individuals with an interest in reading. Leveraging a collaborative filtering approach that incorporates collaborative filtering based on K-nearest neighbors (KNN) the system identifies similarities among users or items based on their book interactions and book ratings. Through meticulous dataset preprocessing, including feature extraction of genre, author, and user preferences, the system ensures high-quality recommendations. Evaluation metrics such as precision and recall gauge system performance, while a user-friendly interface provides easy access to personalized book suggestions. Continuous user feedback drives ongoing improvements, fostering a culture of reading discovery and habit cultivation. Ultimately, the deployment of this system aims to encourage individuals to explore new literary works and develop a lifelong passion for reading.

Published by: Vatsalya Maddu, P.Jusmitha, S.Lilly, K.Sai Sri, D.Janvitha Padma, T.Devika, N.V. Muralikrishna Raja

Author: Vatsalya Maddu

Paper ID: V10I6-1523

Paper Status: published

Published: December 31, 2024

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