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Research Paper

Automating donorschoose.org application screening and building recommendation system using NLP, ensemble methods, and Deep Learning

This paper aims to focus on building a solution for a non-profit organization in automating a task that currently requires a lot of manual effort and is, therefore, time-consuming. We intend to solve this problem with the help of Artificial Intelligence - Natural Language Processing and Deep Learning.

Published by: Adit Shrimal, Shanta Narayanan, Snehal Sanap, Trupti Rane

Author: Adit Shrimal

Paper ID: V7I6-1345

Paper Status: published

Published: December 23, 2021

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Review Paper

Review paper on chitosan and its applications

Chitosan is a hydrophilic biopolymer, which is obtained industrially by hydrolyzing the amino-acetyl group of chitin. It is a natural, non-toxic, biodegradable polysaccharide available as solution, flake, fine powder, bead, and fiber.

Published by: Swati Sanjay Shinde, Wagmare s.

Author: Swati Sanjay Shinde

Paper ID: V7I6-1347

Paper Status: published

Published: December 23, 2021

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Research Paper

Effect of Personality Traits on the Effect of Movie Genres on Mood

The current study aims to analyse the effect of personality traits on the impact that different genres of movies have on an individual. The two genres being considered for this purpose are comedy and horror. The personality traits, as defined by Five-factor Model, will be measured using the Ten-Item Personality Inventory (TIPI), and the Profile of Mood States (POMS) will be used to measure the change in mood states caused by the video intervention (short film). The hypothesis for the current research states that individuals low on Emotional Stability and high on openness to experience are likely to have a more alleviated mood on watching the short film of horror genre; and individuals higher on extraversion and lower on neuroticism are likely to find the comedy short film to be more uplifting for their mood as compared to those with lower extraversion and higher neuroticism.

Published by: Sachi Saraf

Author: Sachi Saraf

Paper ID: V7I6-1314

Paper Status: published

Published: December 23, 2021

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Research Paper

Survey paper on hospital management system

Hospital Management System provides the benefits of streamlined operations, enhanced system, control, patient care, cost control, and improved profitability. HMS is easy to use and is designed and developed to deliver real conceivable benefits to hospitals. The project “Hospital Management System” uses JAVA as the front-end software which is Object-Oriented Programming and has connectivity with MySQL. All the required modules and features have been particularly built to just fit the requirements. The entire architecture is Desktop based and built using the latest technologies. It covers all the required modules right from Patient Registration, Medical details, Doctor, Patient appointment, Bill, Record modification, etc. The human body is a very complex and sophisticated structure and comprises millions of functions. All these complicated functions have been understood by the man himself, part-by-part their research and experiments. As science & technology progressed, medicines became an integral part of the research. Gradually, medical science became an entirely new branch of study & research. As of now, the Health Sector comprises Medical institutions i.e. Hospitals, clinics, etc. Thus the Health sector aims at providing the best medical facilities to the common man.

Published by: Saylee Dongre, Shivani Choudhary, Saurabh Sonwane, Anjalesh Gawaikar, Nikhil Thadani

Author: Saylee Dongre

Paper ID: V7I6-1316

Paper Status: published

Published: December 22, 2021

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Research Paper

Lean Thinking approach to improving the performance of an automobile service industry

The study's goal is to discover problems in a car service facility and come up with the best remedies to improve overall performance. The research's specific goals are to: increase productivity using Lean strategy; reduce wastage and non-value added activities; create a simple and easy work environment; develop a 5S Auditing control system to maintain the improved process; and educate Janitorial level people about the benefits of using Lean strategy. The findings of this study are based on a single case study conducted in a company that used the Lean PDCA (Plan-Do-Check-Act) strategy, the 5S tool, and its applications to improve productivity. At various phases of the investigation, the main causes for the problem in automobile servicing were found using data-based analysis. The process parameters have been tuned and monitored to ensure the method's long-term viability.As a result of its lean strategy, the quantity of energy and non-value added activities involved with its manufacturing processes were decreased. In addition, research led to the establishment of a visual workplace, which has improved the production environment, as well as a clear and straightforward process design to build the groundwork for a future of continual improvement. The output of the business would grow by 15 automobiles each day as a consequence of this research, which would be a significant achievement. The study gives companies advice on the application and significance of quality ideas. To survive, instigation must work consistently on development-oriented activities, regardless of how these activities are character. The findings will also serve as a foundation for future study in this field, with an emphasis on practical application of these notions..

Published by: T. Poojith Kannan, E. Raghul Yadhav, Ranjit Kumar K., Raghul Anandan, Dineshkumar Lakshmanan, Karthick S.

Author: T. Poojith Kannan

Paper ID: V7I6-1330

Paper Status: published

Published: December 22, 2021

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Research Paper

Breast cancer detection using a Machine Learning algorithm

Breast Cancer is the most customarily recognized cancer amongst ladies and fundamental purpose for the growing mortality rate amongst ladies. As the analysis of this sickness manually takes long hours and the lesser availability of systems, there's a want to broaden the automated analysis gadget for early detection of most cancers. Data mining techniques contribute a lot to the development of such a system. To classify benign and malignant tumors, we have used classification techniques of machine learning within which the machine is learned from past knowledge and might predict the class of recent input. There are many Classification techniques used to predict breast cancer, several of which can be Support Vector Machine (SVM), Decision Tree (C4.5), Naive Bayes (NB), k Nearest Neighbors (k-NN), and random forest. This paper is a comparative study on implementing a model using a Support Vector Machine (SVM). These techniques are coded in python and executed in a jupyter notebook, the Scientific Python Development Environment. Our experiments have proven that support vector machine(SVM) is exceptional for predictive evaluation with an accuracy of 96.4%.

Published by: Ritik Naresh Raut, Khushbu Raju Burde, Anmol Raut, Vicky Jadhav

Author: Ritik Naresh Raut

Paper ID: V7I6-1312

Paper Status: published

Published: December 20, 2021

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