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Review Paper

Blockchain-Based eVault for Legal Documents

Blockchain-based centralized file-sharing platforms are not capable of providing security and privacy to data which leads to an increase in security attacks, single points of failure, and censorship. As we know the digitization of legal documents has taken a rapid growth which results in the transformation of the legal industry and provided efficiency, accessibility, and security to a multitude of stakeholders. However, there is a need for a trusted and immutable system for storing, sharing, and verifying these documents remains a challenge. The paper is based on the concept of "Blockchain-Based eVault for Legal Documents," It leverages blockchain technology to address the issues of document authenticity, data security, and legal document management. The proposed eVault is designed to act as a secure repository for legal documents, offering a robust solution to the persistent challenges of document tampering, fraud, and unauthorized access. By utilizing blockchain technology, which provides decentralized, transparent, this eVault ensures the integrity or authenticity of legal documents.

Published by: Gauri Yogeshwar Wankhade, Shantanu Rawade, Harshal Lokhande, Anish Bhalerao, Prof. Shrishail Patil

Author: Gauri Yogeshwar Wankhade

Paper ID: V10I1-1289

Paper Status: published

Published: April 5, 2024

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Research Paper

Shape Your Home: Interior Designing Application

This project offers a comprehensive solution for modernizing interior design methods by combining augmented reality (AR) technology with user-centric design concepts. The system has four major modules targeted at improving user experience and productivity in interior design projects. For starters, the AR-based object visualization and placement capability allows users to put virtual decor and furniture objects in their living areas in real-time. Allowing customers to experiment with various layouts and combinations improves design decisions. Second, the AR-based measuring module gives users precise measurements of room dimensions and furniture sizes, which helps with proper space planning and layout. Furthermore, the wall paint selection module includes a large number of colour palettes, allowing customers to try different paint colours on their walls before they are applied. Users may utilize this function to see the aesthetic impact of various colour schemes, allowing them to make more confident selections about wall colour. Finally, the application makes it easier for customers to communicate with interior designers and decorators, offering them a quick method to acquire expert advice and collaborate on projects. The project's goal in combining these modules is to allow users to release their creativity, streamline design procedures, and efficiently accomplish their ideal interior environments.

Published by: Aditi Agnihotri, Aditi Sharma, Dr. Ashish Baiswar, Dr. Promila Bahadur

Author: Aditi Agnihotri

Paper ID: V10I1-1288

Paper Status: published

Published: April 4, 2024

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Research Paper

Preventia: Spam Alert System

In the ever-evolving landscape of digital communication, the proliferation of spam content continues to be a pressing concern. The "Preventia: Spam Alert System" project aims to tackle this challenge head-on by implementing a comprehensive and intelligent solution for identifying and classifying spam. Through the application of the Naive Bayes algorithm, the system gains the ability to process vast amounts of data efficiently and make probabilistic predictions about whether incoming content is spam or legitimate. To bolster its capabilities further, the Spam Alert System integrates cutting edge technologies like natural language processing (NLP) to comprehend textual content more effectively. Subsequently, the Naive Bayes classifier evaluates the content, assigning a probability score that determines the likelihood of it being spam. The Spam Alert System's successful implementation delivers a powerful and flexible solution to the problem of spam, endowing users with heightened security and protection from fraudulent activities and potential privacy breaches. With seamless integration into popular communication platforms, users can enjoy real-time defence against malicious content across email, messaging services, and web browsers.

Published by: Kaustubh Chaubey, Naufil Ahmed Siddique, Ayush Singh, Reena Kothari

Author: Kaustubh Chaubey

Paper ID: V10I1-1287

Paper Status: published

Published: April 4, 2024

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Research Paper

Women entrepreneurs- A global perspective

The search for opportunities beyond the control of resources is known as entrepreneurship. The definition of "entrepreneurship" is vague. Some associate it with startups financed by venture capital and those associated with them; others apply it to any small firm. "Corporate entrepreneurship" is an oxymoron for some people and a rallying cry for others. The term "women entrepreneurs" refers to a person or group of women who start, plan, and run a business. Thus, a self-assured, imaginative, and creative woman who wants to become financially independent while also opening up job chances for others is a woman entrepreneur. Following World War II, there was a remarkable surge in the number of women working for themselves in developed nations. Despite the fact that males are much more successful in acquiring capital, businesses launched or co-founded by women outperform those started by men in a number of areas. Businesses founded by women typically have stronger revenue growth, more job growth, bolder dreams, and superior execution. The World Bank estimates that women-owned businesses in the US are generating about $3 trillion in economic growth and expanding at a rate more than twice as fast as all other businesses.

Published by: Seher Mehta

Author: Seher Mehta

Paper ID: V10I1-1272

Paper Status: published

Published: April 4, 2024

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Review Paper

Noise reduction in web data – A learning approach based on dynamic user interest.

An advanced noise reduction technique harnessing the power of Long Short-Term Memory (LSTM) networks is introduced to tackle the issue of noise in web data. In contrast to traditional methods employed for web data noise reduction, which may grapple with complexities such as large network depths and training inefficiencies, this novel approach takes a fresh perspective. Initially designed for DE noising natural datasets, this LSTM-based algorithm has been carefully adapted and fine-tuned to specifically target noise reduction in web data. Through meticulous parameter adjustments and extensive experimentation, we have successfully demonstrated the effectiveness of LSTM in removing noise from web data, achieving high levels of efficiency. Our thorough analysis and comparative experiments underscore the potential and viability of the LSTM-based approach in the domain of web data noise reduction. This algorithm not only holds promise but also signifies its importance in advancing the field of web data processing and analysis, marking a significant step forward in enhancing data quality for web-related applications.

Published by: Sakshi Balbansi, Aditya Pathak, Akanksha Memane, Mrunmayi Khaamkar, Prof. Vijay Sonawane

Author: Sakshi Balbansi

Paper ID: V10I1-1286

Paper Status: published

Published: April 3, 2024

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Research Paper

The concept of Group Theatre (GT)

There is hardly any professional, commercial Theatre in India. Currently the mainstream theatre is represented by amateur, Non-profit making Theatre Groups which is categorized as'Group Theatre (GT). The concept of GT in the world was incepted in America in 1929 There is a difference between GT snd professional, commercial Theatre.

Published by: Dr. Samitarani Mohanty

Author: Dr. Samitarani Mohanty

Paper ID: V10I1-1276

Paper Status: published

Published: April 3, 2024

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