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Metaverse: The Future of Recruitment and Talent Engagement

The Metaverse represents a groundbreaking frontier in recruitment, offering virtual environments that transcend geographical boundaries and reimagine the hiring process. This paper delves into the utilization of the Metaverse in recruitment, highlighting its transformative potential, key functionalities, and measurable impacts. By leveraging real-world data, we explore how organizations are capitalizing on this immersive technology to attract top talent, streamline operations, and enhance candidate experiences.

Published by: Aakash V

Author: Aakash V

Paper ID: V10I6-1427

Paper Status: published

Published: December 16, 2024

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Research Paper

Smart Shield: An IoT-Based Fall Detection, GPS Tracking, and Health Monitoring System Using ESP8266

The proposed Smart Belt is a wearable device designed to enhance personal safety and health monitoring through advanced technologies. It incorporates a fall detection system powered by the MPU6050 sensor and a custom-built dataset generated from real-life fall and non-fall scenarios. This dataset trains a machine-learning model whose weights and biases are deployed on an ESP8266 microcontroller. The belt detects falls accurately and mitigates false alarms by allowing users to cancel alerts within 20 seconds via an emergency button. In the event of a confirmed fall, the device triggers SMS alerts containing real-time GPS coordinates, ensuring continuous location tracking. A geofencing feature enhances safety by notifying caretakers if the wearer moves beyond predefined boundaries. Additionally, the belt features an MAX sensor and OLED display for health monitoring, providing real-time SpO2 and heart rate (bpm) readings when a finger is placed on the sensor. The Smart Belt is equipped with a user-friendly emergency button that sends immediate alerts in critical situations, offering additional layers of safety. Its robust design includes a rechargeable lithium battery with USB Type-C charging support, ensuring prolonged usability. This innovative solution combines safety, health monitoring, and connectivity in a compact and efficient system, making it a reliable companion for individuals needing constant monitoring and assistance. With its multifunctionality and focus on user safety, the Smart Belt is a significant step toward enhancing wearable technology for personal health and security.

Published by: Ashish Mahendranath Pathak, Vinayak Iragonda Patil, Vaishali Patil, Vaishnavi Pujari

Author: Ashish Mahendranath Pathak

Paper ID: V10I6-1412

Paper Status: published

Published: December 13, 2024

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Research Paper

Skin Cancer Type Detection using Deep Learning

The research "Detection of Skin Cancer Types Using Deep Learning" addresses the serious issue of skin cancer. There's an urgent need for early diagnosis to help patients get better treatment. Skin cancer, especially melanoma, can be hazardous and often leads to high death rates when not caught early. Traditionally, doctors mainly rely on visual checks, which can vary from person to person. This can lead to misdiagnoses and delayed treatments. So, we decided to use a technology called Convolutional Neural Networks (CNNs) to create a machine that recognizes different types of skin cancer using specialized images. We did a thorough review of current methods and identified their limitations. This will help us build our approach while also making it easier for places with fewer resources to access. By studying things like color, texture, shape, and size in dermoscopy images—and using fresh techniques like transfer learning—we hope to boost accuracy and efficiency in diagnosis. Ultimately, we look forward to helping improve skin cancer treatments.

Published by: Abhijeet Gopal Roy, Anuja Jadhav, Disha Shende, Kishor Khandait, Sakshi Barde, Dr. Smita Nirkhi

Author: Abhijeet Gopal Roy

Paper ID: V10I6-1399

Paper Status: published

Published: December 12, 2024

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Research Paper

Campus Navigator

This paper introduces Campus Navigator, a web-based application developed using Python, Django, and map APIs to assist in navigating a university campus with multiple colleges. The system enables new students and visitors to easily locate specific destinations, such as buildings, classrooms, or faculty cabins. By integrating an intuitive interface with real-time map functionality, Campus Navigator ensures users can efficiently find their way around the campus. The platform also provides administrators with tools to manage and update campus data, ensuring accuracy and scalability.

Published by: Vikas Anil Choudhary, Shantanu Barhate , Kartiki Pranjale

Author: Vikas Anil Choudhary

Paper ID: V10I6-1370

Paper Status: published

Published: December 11, 2024

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Research Paper

A Hyperparameter Tuning Optimized Convolutional Neural Network for Classification of Fruit Type and Quality through Computer Vision

Food poisoning is a problem affecting people on a global scale, killing 420,000 people a year as of 2022. This problem is exacerbated by the distribution of already-rotten food from farms to vendors and can be mitigated by preventing infected food from ever leaving farms in the first place, or by identifying rotten foods before vendors sell them. Thus, this study summarizes the building of a hyperparameter-optimized deep learning model that uses a Convolutional Neural Network (CNN) to identify the kind of fruit and its quality by looking at an image of a fruit, a simple process. This automation of food classification and safety allows lower-income farmers and vendors to escape the time and monetary cost of manually verifying whether or not each fruit they distribute/sell is safe to eat.

Published by: Aarav Kodathala Reddy

Author: Aarav Kodathala Reddy

Paper ID: V10I6-1395

Paper Status: published

Published: December 10, 2024

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Research Paper

Sustainable Solutions for the Disposal of End-of-Life Solar Panels

Solar PV recycling methods currently in use are elaborated in this paper. This paper explains in detail the recycling methods of crystalline, CdTe, and CIGS solar panels which are being currently used in the industries. As there are a lot of recycling methods this paper finds you the best recycling method with a high recovery rate of recycled products up to 99%. The use of plant-based materials to create solar PV modules is also suggested as one of the main innovations needed to fight used solar PV disposal. Because of this, there is still a great deal of effort to be made to develop the subject of solar PV recycling by material scientists and other related professionals.

Published by: Aishwarya S, Karthikeyan S, Sathiyamurthi P, Vijayanand P S

Author: Aishwarya S

Paper ID: V10I6-1393

Paper Status: published

Published: December 10, 2024

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