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Online reservation system

In this project, we have used Microsoft Visual Studio (ASP.net) as frontend and SQL Server 2008 as a backend the topic is of online hotel booking system "A complete solution for Banquet Hall and Hotel Booking” is selected for the purpose of this project and the algorithms used in Online hotel booking is the main focus. This program is intended to reduce the manual work related to booking a banquet hall for a specific purpose. This uses specific locations and makes the booking of banquet hall easier and effective for the user. This system provides information related to the banquet hall and on basis of customer preference like capacity it proposes and recommends the best banquet hall available at a particular location. The database would include a series of information and with help of algorithms, it combines the preferences of the customer and provide the best banquet hall. The specific features of every banquet hall would be added to the database to provide the best method of booking.

Published by: Navin, Rajendra Singh Khatana

Author: Navin

Paper ID: V7I4-1821

Paper Status: published

Published: August 20, 2021

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Research Paper

Credit card fraud detection using Machine Learning

The task is primarily centered around charge card misrepresentation location in the genuine world. An incredible development in the quantity of charge card exchanges has as of late prompted a significant ascent in fake exercises. The intention is to get products without paying or to get unapproved assets from a record. Execution of effective misrepresentation recognition frameworks has gotten basic for all charge cards giving banks to limit their misfortunes. Perhaps the most vital difficulty in making the business is that neither the card nor the cardholder should be available when the buy is being made. This makes it unthinkable for the trader to check whether the client making a buy is a valid cardholder or not. With the proposed conspire, utilizing irregular timberland calculation the exactness of recognizing the extortion can be improved. Order interaction of irregular timberland calculation to examine informational collection and client current dataset. At last, streamline the exactness of the outcome information. The presentation of the procedures is assessed dependent on exactness, affectability, and explicitness, and accuracy. The presentation of the procedures is assessed dependent on exactness, affectability, and explicitness, and accuracy.

Published by: Sree Maurya Eluri, K. Madhu Kiran

Author: Sree Maurya Eluri

Paper ID: V7I4-1826

Paper Status: published

Published: August 20, 2021

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Research Paper

Ideas and suggestions for integrating future urban areas with roads & highways development for economic prosperity

This paper focuses on how we should effectively utilize and develop the civil engineering infrastructure - for the much-needed growth and development considering that 42% of India’s population will be staying in urban areas by 2030. it will be highly imperative that India builds more infra facilities in urban areas and develop suburbs and satellite cities and focus on smart area development/ smart satellite cities to accommodate the movement & shift to the cities/ urban areas. this needs government support in terms of land, buildings, medical personnel, and their training colleges in the first place. there has to be some nodal and well-established government body that drives the entire process of creating a healthy infrastructure first.

Published by: Dinesh Bhaskar Bandivdekar

Author: Dinesh Bhaskar Bandivdekar

Paper ID: V7I4-1814

Paper Status: published

Published: August 20, 2021

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Review Paper

Literature survey of black nightshade (Solanum Nigrum Linn)

Night black shade (Solanum Nigrum) is an important medicinal plant widely used in the Unani system of Medicine. (Family – Solanaceae). The plants are cultivated throughout the country in dry parts. Common in cultivated lands, roadsides and gardens. The plants are prescribed in various aliments like – Ascites, Piles, Chronic Cirrhosis of the liver, Gonorrhoea, Gouty joints, and various skin disorders. Through this paper, the effort has been to collect information on the Medicinal properties of Mako (Solanum Nigrum) plant species.

Published by: S. Nithya

Author: S. Nithya

Paper ID: V7I4-1782

Paper Status: published

Published: August 19, 2021

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Research Paper

Internet of Things for personal healthcare

Technologies are not still and the Internet of Things concept introduces a lot of new possibilities for innovation, new products, and user applications. All devices become truly personal and the medical sector is not an exclusion. Telemedicine is a new approach to diagnostic and treatment, while smart healthcare solutions provide the user an ultimate health control. The purpose of my study is to understand what the eHealth sector is and to provide clear guidelines for business and IT specialists on how to enter the smart healthcare market. I analyzed the current market situation, made audience research in Fin- land, and prepared a whitepaper with basic rules, which can help to develop and design a valuable, secure product for personal use, which gives maximum profit for the company and ultimate usage convenience and experience for selected consumers. The following topics are covered in the paper: needs and requirements of healthcare IoT, regulations, adoption, IoT user experience, security, and so on. I hope my work will help specialists from different fields to understand the personal healthcare Internet of Things and to open new operating areas. Finally, I applied all collected theoretical knowledge and designed a smart insulin pump, which is an innovative and new product on today’s market.

Published by: Tabeena Reyaz, Dr. Rajat joshi

Author: Tabeena Reyaz

Paper ID: V7I4-1824

Paper Status: published

Published: August 19, 2021

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Research Paper

Improved corpus base English to Hindi language translation sequence-based deep learning approach

While the NMT system operates conventional techniques such as rule-based machine translation and statistical machine translation, the manual human translation still falls short. Our two NMT systems, RNN sequence-to-sequence, and transformer-based models are used in this paper for English-to-Hindi translation and are compared to the current MT output for the BLEU score. It outperforms current performance systems. However, a thorough review of the translations projected shows that in instances when an unknown word is recognized, blank lines emerge in the output and the source phrase is translated in a number of ways, our NMT systems need to be improved. In addition, the finding of the effect of the bi-gram model on the Hindi translation and relation between comparable Indian languages provides a new research route for direct translation between couples of similar languages. It may be possible to circumvent the limitation of available parallel data in low-resource languages by using linguistic similarities to get accurate results. With English to Hindi, an LSTM-based care mechanism enhances the MT output of the GRU-based NMT system. We also evaluated MT output performance in the Indian language, Hindi, using the BLEU-1, BLEU-2, and BLEU3 scores. For an Indian language like Hindi, it has been pointed out that it is not sufficient to assess on the basis of the BLEU1 score, as in prior research. In any configuration of NMT systems, the average BLEU score obtained is close to the matching bi-gram BLEU score.

Published by: Manmeet Kaur, Charanjiv Singh Saroa

Author: Manmeet Kaur

Paper ID: V7I4-1825

Paper Status: published

Published: August 19, 2021

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