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Research Paper

Formulation and Evaluation of Face Wash by Using Antiacne Agent

Formulation and evaluation of face wash by using anti acne agent shows that the prevention of acne using aloe vera, Neem, Turmeric oil, etc. by extraction method of leaves and also phytochemical studies shows presence of alkaloids ,flavanoids, terpenoids, glycosides, saponins, tannins etc. The overall study concludes that the importance of skin health and function of herbal formulation in skin-care regimen, notably in treating acne. Herbal skin care products can provide natural alternatives to synthetic treatment, promoting healthy and bright skin.

Published by: KARISHMA SONWANE, Pratiksha P. Shende, Ashitosh dhumal, Vibha Bante

Author: KARISHMA SONWANE

Paper ID: V10I4-1196

Paper Status: published

Published: August 15, 2024

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Research Paper

An Analysis and Survey of India’s Unsecured Loan Market: Types, Sources and Risks.

This research paper aims to dive deep into India's concept of unsecured loans. It seeks to find out what these loans are exactly, whether they are beneficial or predatory, and what factors lead to defaults. Furthermore, the paper aims to determine the factors deciding such loans' eligibilitys such as credit score, income, and age. The various informal sources of lending like moneylenders, landlords, and friends as well as the types of unsecured loans such as payday loans, signature loans, credit cards, etc are also explored. Bank policy when giving out credit as well as deciding how much risk these institutions can take, keeping in mind minimum liquidity requirements set by the Reserve Bank Of India is discussed. Additionally, a survey has been conducted to understand the demographic of people taking various types of loans, whether they prefer secured or unsecured credit, and the factors they consider before borrowing money. People were asked subjective questions such as what they feel are the risks of borrowing from a loan app or whether they feel that credit cards have high interest rates or not.

Published by: Tara Chadda

Author: Tara Chadda

Paper ID: V10I4-1193

Paper Status: published

Published: August 15, 2024

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Research Paper

A Comprehensive Look at Sexual Violence: Identification, Initiation and Impact

This research paper is based on the widespread topic of sexual violence. It talks about the signs that a person has suffered through sexual assault, the ways to support a person who has gone through such an experience as well as the impact that has on them. This paper discusses sexual cyberbullying by peers as well as online strangers, the ‘causes’ of sexual assault according to society, and research based on it. It also includes the difference between sexual assault and sexual abuse and how dress codes objectify and sexualize children. The precautions that can be taken to prevent sexual assault are also a big aspect discussed.

Published by: Aadya Garg

Author: Aadya Garg

Paper ID: V10I4-1186

Paper Status: published

Published: August 13, 2024

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Review Paper

Using Technology to Explore the Therapeutic Benefits of Classical Indian Music

This review paper explores the therapeutic qualities of Indian ragas and the potential use of modern technology in analyzing them. It examines traditional beliefs, recent scientific research, and the application of computational techniques such as machine learning and audio analysis tools in studying ragas.

Published by: Samarth Varma

Author: Samarth Varma

Paper ID: V10I4-1179

Paper Status: published

Published: August 12, 2024

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Research Paper

Detection and Classification of Bone Fractures in X-Ray Images using Yolov8

Hospitals often handle a significant volume of bone fractures, which form a major segment of their medical caseload. X-ray imaging is critical for the accurate detection and classification of these fractures, playing a pivotal role in guiding subsequent treatment strategies. This study investigates the potential of the YOLO (You Only Look Once) deep learning framework to advance the automatic detection and classification of bone fractures in X-ray images. Specifically, it aims to enhance the YOLOv8 model's ability to identify various fracture types by training it on an extensive and diverse set of labelled X-ray images and employing data augmentation techniques to improve performance. The diagnostic tool is expected to support radiologists by providing timely and accurate insights, thereby streamlining the decision-making process. The results show that the YOLOv8 model, enhanced with data augmentation outperforms the standard YOLOv8 model in both accuracy and speed for fracture detection and classification. This approach not only promises to elevate diagnostic standards but also has the potential to reduce the workload on radiologists, leading to more effective and efficient patient care.

Published by: Vidya Shree G

Author: Vidya Shree G

Paper ID: V10I4-1189

Paper Status: published

Published: August 10, 2024

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Research Paper

Preventive Healthcare Diagnostics Leveraging Machine Learning

The healthcare system in India is facing unprecedented challenges due to the rising population, inadequate healthcare infrastructure, higher doctor-to-patient ratio, and lack of healthcare awareness in our society. Technology is the only saviour to bring in the much-needed transformation required in healthcare space. One such idea is Predictive Healthcare Analytics which has the potential to revolutionize the healthcare industry by providing insights that improve patient outcomes, optimize usage of existing resources, and enhance overall efficiency. It leverages data, analysis algorithms, and machine learning techniques to forecast future health outcomes and trends. This approach enables doctors to anticipate potential issues and proactively address them, rather than responding reactively.

Published by: Akankshya Mohanty, Anandi Nagpal, Naisha Parida

Author: Akankshya Mohanty

Paper ID: V10I4-1184

Paper Status: published

Published: August 9, 2024

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