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Research Paper

Digital Banking: Current trends and prospects in India

Today there is tremendous growth in the use of digital banking through mobile phones in India. The entire ecosystem for digital banking has been made possible by the initiative of the Government and has received a boost on account of the present Covid-19 Pandemic scenario. With the current pace of rapid ongoing technology intervention in the financial sector via digital banking activity one witness a very huge increase in the use of financial services via technology. This has been an eye-opener to all the commercial banking activity in the country to tap the huge potential of the unbanked market area that is available across India as well as the e-commerce space. It is conservatively estimated that about 60% of the Indian population has a mobile phone. With financial tools provided in the mobiles, a handheld bank is available in every corner of India covered by telecom services. Thanks to technology and digitization, various initiatives like Jan Dhan Yojana, Direct benefit transfers, RuPay card, account dormancy, Aadhar card, Unified payment interface, Demonetization, GST, New regulatory framework, New Payment Banks, Fintech, etc., we are witnessing an ongoing "digital financial inclusion" in the country. Thanks to the digital initiative, today in India the Financial inclusion concept has become very important and has touched all aspects of society. The consumer perception towards digital payment is an important element contributing to the success of digital banking. Whether the process of digital banking will sustain and become a standard practice for all payments across domains in India or is it only a passing fancy being adopted mainly by the younger generation is a question that needs to be examined. This research is directed to understand the development of digital banking in India as well as aimed at providing a glimpse of the user’s behavior in respect of the use of digital banking, the satisfaction level, and factors that affect its adoption.to understand the user perception and future intention. The research aimed at providing a glimpse of the user’s behavior in respect of the use of digital banking, the satisfaction level, and factors that affect its adoption. It has helped to identify the challenges in digital banking and predicts a successful future prospects for digital banking in India

Published by: Dr. Ramesh Raj Ayer, Karthik M.

Author: Dr. Ramesh Raj Ayer

Paper ID: V8I2-1178

Paper Status: published

Published: March 16, 2022

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Research Paper

Artificial Intelligence based video games

Since Artificial Intelligence is primarily based on video games is usually specifically designed for every game. Video games A.I. Tools presently concentrate on permitting video games developers to quickly and with efficiency produce specific A.I. one issue with this approach is that it doesn’t with efficiency exploit the many similarities that exist between video games not only of a similar genre. however of the various genre too, leading to a problem to handle the various aspects of a fancy setting severally for every video game. Galvanized by the human ability to sight analogies between games and apply similar behavior on an abstract level. This paper recommends the associate degree approach of A.I. in Video games.

Published by: Rohit Singh Rawat, Fardeen Saifi, Jai Kumar Sharma, Vishawjyoti Rathi

Author: Rohit Singh Rawat

Paper ID: V8I2-1163

Paper Status: published

Published: March 16, 2022

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Technical Notes

Smart Garbage Bin

Garbage management is real trouble in society. The population and the garbage also are increasing proportionally. Many times, we see that the garbage bins are placed in public places are overflowing. The negligence of authorities and carelessness of the public create an unhygienic condition for the people, lead to health problems (some deadly diseases & human illness) and also create bad smell which causes damage to local ecosystems. Here we propose a smart garbage bin that can detect the level of garbage at various parts of the dustbin, level of garbage can be monitored via an app and sends message alert to respective authorities to collect that trash when it crosses a threshold level.

Published by: Debjit Ghorai, Shireen Samar, Chandan Hazra, Somraj Dutta, Dr. Sandhya Pattanayak

Author: Debjit Ghorai

Paper ID: V8I2-1173

Paper Status: published

Published: March 16, 2022

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Review Paper

House price prediction using Machine Learning

The main purpose of the paper is to show the use of linear regression to estimate the house prices prediction in Hyderabad a city in Telangana state India. Nowadays, the home is a basic amenity for most human beings. The biggest dream of all middle-class people is to have their own home. But today, the prices of plots, flats, and homes have become so high that the general public could not afford them. On the coin second side, the sellers are unable to find genuine buyers and the prediction of house prices is a nightmare for middle-class people, these all issues are created because land brokers and land brokers sell land or homes or land for more money and take more commission. The applications like magic bricks and no broker are providing data to the public, that data is to estimate the current prices of any locality. In this article, the prediction of house prices is taken as a problem. A home price forecasting method that collects past home prices and predicts the current price of the house. Machine learning techniques are used in the analysis to estimate the prices of the future. The Python language is used to analyze the problem and various regression models to ensure accurate predictions. The Home Price Index usually represents the sum of price fluctuations in residential real estate. However, to predict the price of a home, based on location, house type, size, year of construction, local amenities, and some other factors that may affect the supply and demand of the house. We need a more accurate method in this analysis we developed a more accurate method by applying various algorithms.

Published by: V. V. Sai Pavan Pindiproli, A. Abhishek Reddy

Author: V. V. Sai Pavan Pindiproli

Paper ID: V8I2-1176

Paper Status: withdrawn

Submitted: March 16, 2022

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Research Paper

Estimation of uniaxial compressive strength of coal measures of Mallayapally block of Mulugu coal belt, Godavari valley coal field, using sonic logs

The Mallayapally block is located in the central part of Mulugu coal belt forms more or less rectangular block with average strike length of 3.30 km and width of 1.20 km. The Mallayapally block empirical research found an exponential link between Vp calculated from sonic logs and Uniaxial Compressive Strength (UCS) calculated from core samples of sandstones from all throughout the Godavari Valley. Vp and Tensile Strength (TS) and Vp and Young's Modulus (E) have both been found to have polynomial and exponential connections. The empirical connections can be a valuable tool for understanding the effects of regional and local geological and geotechnical variables on mine development and management.

Published by: Lalu Naik, A. Narsing Rao

Author: Lalu Naik

Paper ID: V8I2-1174

Paper Status: published

Published: March 15, 2022

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Research Paper

Artificial Intelligence

Artificial intelligence (AI) is the cap potential of a laptop or a robot controlled through manner of approach of a laptop to do responsibilities which may be commonly finished through manner of approach of humans because of the reality they require human intelligence and discernment. It is intelligence that is shown by machines same as intelligence shown by humans to perform a specific task that needs critical thinking. This machine mimics cognitive functions performed by the human mind in his/her daily tasks. Artificial intelligence is done by many multinational companies like Google, Netflix, etc. Even it is used in self-driving cars as demonstrated by Tesla. As a discipline of academics, it is founded in 1956.

Published by: Inder Singh Mawai, Akhilesh, Md Azar

Author: Inder Singh Mawai

Paper ID: V8I2-1167

Paper Status: published

Published: March 14, 2022

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