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Research Paper

Correlational tendencies between Goods and Services Tax and financial markets in India

This paper is aimed at finding a correlation, if any, between Goods and Services Tax (GST) collection announcements and financial markets, specifically, the National Stock Exchange in India. The authors hypothesize that news of GST collection data affects investor confidence and thus the stock market. The result is evident from the correlation between the index of companies with the highest MCap and GST, especially in the financial year 2021.

Published by: Rahul Bhargava, Akshat Adlakha

Author: Rahul Bhargava

Paper ID: V8I1-1142

Paper Status: published

Published: January 3, 2022

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Research Paper

Blockchain NFTs

Here we are going to discuss Blockchain non-fungible tokens, which is a unique and non-interchangeable unit of data stored on a blockchain, a form of digital ledger. In today’s world NFTs are giving more power to content creators than ever before. The phenomenal rise of cryptocurrency has opened up an era of possibilities. And NFTs, or non-fungible tokens, are riding on the age of this new technology. From art to music and pixelated images to toilet paper, these digital assets are selling like the proverbial hotcakes, some of them for millions of dollars. Thereby, we demonstrate the usefulness of NFTs to tokenize digital goods, prevent fraud and improve control over secondary market transactions.

Published by: Prathamesh Ashok Vetkar, Chetna Achar

Author: Prathamesh Ashok Vetkar

Paper ID: V7I6-1426

Paper Status: published

Published: January 3, 2022

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Research Paper

Design Development and Testing of an Automatic Desktop Injection Molding Machine

The paper is focused on the design and manufacturing of a low-cost desktop Injection Molding machine. The design of mechanical elements of the injection Molding machines is discussed. The volume of the barrel with and without injection screw is also discussed. The heating system i.e. Heaters and thermocouples coupled with PID controller is also discussed. The flow rate of ABS, PLA, and PVC plastic materials has been found at a constant temperature and different temperatures for constant flow and with different RPM of the screw are also discussed.

Published by: N. V. Anjali, J. Kiran Kumar, S. Hemalatha

Author: N. V. Anjali

Paper ID: V7I6-1417

Paper Status: published

Published: December 31, 2021

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Review Paper

Comparative analysis of various Machine learning algorithms for prediction of heart attack

In recent times an unhealthy lifestyle has led to rising in various heart conditions. Lots of people are losing their lives because of this. It would be really great to have the technology or a system that can collect data and predict and monitor heart conditions. So that person's life can be saved before it's too late. Accurate heart condition predictions are not an easy task. Data Science and AI can play a huge and crucial role in processing huge amounts of healthcare data. There are various machine learning algorithms available to process and predict the result. It is very important to choose the right algorithm so that the task can be performed efficiently. This ‘Seminar Work’ makes use of a heart dataset available in the UCI machine learning repository. The proposed work aims to predict the chance of heart attack and classifies patients' risk levels. We have implemented various machine learning algorithms such as Decision Tree, Logistic Regression, Random Forest, Naive Bayes. In this report, we have comparatively studied and analyzed the above algorithms. We compared the performance for all of them and tried to choose the best-suited algorithms for our task. The results of our test concluded that Random forest is the best-suited algorithm for our task. It has achieved the highest accuracy of 90.16% compared to other machine learning algorithms.

Published by: Swapnil Patwari, Rohan Kulkarni, Aditya Yendralwar, Prajot Pujari, Sonali Patil

Author: Swapnil Patwari

Paper ID: V7I6-1405

Paper Status: published

Published: December 31, 2021

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Research Paper

Electronic clothing development using boost converter circuit and GPS-GSM module using Arduino

Despite constant research and development of safety technologies for women, most novel technologies lack affordability and effectiveness. In our research, we investigated the existing technologies and developed an electronic jacket equipped with electric nodes which protect the victim by electrocuting the assailant. External help plays a key role in victim recovery and protection and hence our model also notifies the registered contacts, when the victim is attacked. The results support that the jacket can effectively shock the assailant by incorporating a boost converter circuit and sending notifications when the system is initialized by the victim.

Published by: Rahul Bhargava, Advitya Singhal, Parv Narang

Author: Rahul Bhargava

Paper ID: V7I6-1419

Paper Status: published

Published: December 31, 2021

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Research Paper

24 social networking platform

Social media has connected many of the users in the world together. By the end of 2015, we already had billions of users connected. And some predict that by 2020, the number of Social media users will reach or even exceed 50 billion. Connecting application is an integration of social networking and E-commerce. It majorly focuses on the social network growth and their development where the users in the world can show their talent in the form of art, dance, singing, photography, etc. to the relevant customer population by the means of our application and online transactional procedure. 24 Platform is built on React.js, Firebase database using VS Code, and Node.js and npm for the structural and design part of the main application. The content from users they have followed will be visible in the following tab and categories they have followed will be visible in the feed tab. Companies are increasingly using online communities to create value for the firm and its customers. Ensuring that brand activity is relevant to a social network’s core audience is crucial for advertisers wanting to tap into niche communities It is a concept derived from the drawbacks of different applications with the motive to combine their respective functions. This Application will serve them as a good place to share good work and a place where their work will be appreciated by the people.

Published by: Pranav Kale, Pushkar Satpute, Rohan Veer, Prasad Magar

Author: Pranav Kale

Paper ID: V7I6-1400

Paper Status: published

Published: December 31, 2021

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