Atharv Kumar, Prof. Manisha Pathak, Prof. Manish Dixit
{"title":"A Novel Framework on Real Time Chat Interface","authors":"Atharv Kumar, Prof. Manisha Pathak, Prof. Manish Dixit","doi":"10.48175/ijarsct-18208","DOIUrl":"https://doi.org/10.48175/ijarsct-18208","url":null,"abstract":"In this extensive research paper, we delve deeply into the intricate process of developing a real-time chat interface website utilizing cutting-edge web technologies such as ReactJS, Chat Engine, sockets, hooks, props, JavaScript, and APIs. The primary aim of this project is to cater to the evolving demands for efficient communication and collaboration platforms in the contemporary digital landscape. Through meticulous analysis, detailed experimentation, and critical evaluation, we explore the functionalities, design principles, social relevance, and future implications of the developed application. This research paper serves as a comprehensive guide, providing in-depth insights into the utilization of modern web technologies for constructing interactive and engaging web applications, while also shedding light on the broader societal impacts and implications for the future of digital communication.\u0000 The advancement of web technologies has facilitated the development of real-time communication platforms that transcend geographical barriers. This research paper delves into the comprehensive development process and technical intricacies involved in creating a real-time chat interface website using modern web technologies, including ReactJS for the frontend, Chat Engine for the backend, and auxiliary technologies such as sockets, hooks, props, JavaScript, and APIs. The project aims to address the growing need for efficient communication and collaboration platforms in today's digital landscape. Through detailed analysis, experimentation, and critical evaluation, this paper explores the functionalities, design principles, social relevance, and future implications of the developed application","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"114 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140986740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mayuri Tonadare, Muskan Chauhan, Mansi Waghmare, Dr. Nitin Janwe
{"title":"Intelligent Video Surveillance System for Bank","authors":"Mayuri Tonadare, Muskan Chauhan, Mansi Waghmare, Dr. Nitin Janwe","doi":"10.48175/ijarsct-18206","DOIUrl":"https://doi.org/10.48175/ijarsct-18206","url":null,"abstract":"With the increasing sophistication of financial crimes and the growing demand for secure banking services, the implementation of advanced security measures has become imperative for banks worldwide. Facial recognition technology emerges as a promising solution to enhance security and streamline authorization verification processes. This paper explores the application of facial recognition technology in banks to determine the authorization status of individuals accessing accounts or conducting transactions. The primary objective of this research is to investigate the efficacy of facial recognition systems in accurately identifying and verifying the identity of individuals in banking environments. By leveraging biometric data, such as facial features, these systems aim to authenticate users with a high level of accuracy and reliability. Moreover, the integration of facial recognition technology enables banks to combat various forms of fraud, including identity theft, account takeover, and unauthorized access.\u0000This study will examine the technological aspects of facial recognition systems, including their underlying algorithms, data processing techniques, and integration capabilities with existing banking infrastructure. Additionally, it will analyze the security implications and privacy concerns associated with the deployment of facial recognition technology in banking operations.\u0000Furthermore, the research will explore the practical implementation of facial recognition systems in real-world banking scenarios, evaluating their effectiveness in enhancing security, reducing fraud, and improving customer experience. It will assess the potential challenges and limitations faced during deployment, such as system accuracy, scalability, and regulatory compliance","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"114 34","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140986259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
DV Swetha Ramana, Kahakashan, Harshula M, Jahnavi S, Jhansi Devi M
{"title":"RADIANTYOU: Personalized PCOS Prediction Partner","authors":"DV Swetha Ramana, Kahakashan, Harshula M, Jahnavi S, Jhansi Devi M","doi":"10.48175/ijarsct-18210","DOIUrl":"https://doi.org/10.48175/ijarsct-18210","url":null,"abstract":"The abstract outlines a study aimed at addressing the challenge of detecting polycystic ovary syndrome (PCOS) in women, particularly in Asia where a significant portion of cases go undetected. PCOS is a complex hormonal disorder affecting reproductive health, characterized by irregular menstrual cycles, excessive androgen levels, and the presence of multiple cysts on the ovaries. The researchers employed machine learning techniques to develop a predictive model for early detection of PCOS. This approach leverages data on various physiological markers such as prolactin levels, blood pressure, thyroid-stimulating hormone (TSH), and pregnancy status. These factors are known to be associated with PCOS and can potentially serve as indicators for its presence. The abstract highlights the effectiveness of Random Forest, a machine learning algorithm, in accurately predicting PCOS with minimal computational time. This implies that the model developed by the researchers can reliably identify individuals at risk of PCOS, allowing for early intervention and management","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"108 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140986721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Rise of Machines : How AI is Transforming HR Functions","authors":"Dr. Pushpa Rani, Ms. Chahat Malhotra","doi":"10.48175/ijarsct-18209","DOIUrl":"https://doi.org/10.48175/ijarsct-18209","url":null,"abstract":"This article is about how artificial intelligence is bringing transformation in processes of HR and how inculcating AI has made easy the appointment of employees. Traditionally recruitment of employees was a very time consuming and difficult process. In old times recruitment was a subjective process and it usually takes a very long time to hire any employee in an organization but now AI has turned the tables by automating resume screening, identifying potential candidates with relevant skills and experience and conduct first round interviews with the help of chatbots. The involvement of AI in HR has reduced a lot of burden of HR professionals and helped them to focus on deeper engagement with promising candidates and making an informed hiring decision. This article is centered around how HR processes has undergone a profound transformation after involvement of AI in their processes. HR is embracing the power of artificial intelligence to become data-driven powerhouse, enhancing the entire employee experience and making hiring of employees a easy task from dull, monotonous and burdenized work.This article has also mention about how we can continuously evaluate the performance of employees and can make strategies for their development and betterment. This article has focused how AI has revolutionized human resources from inside out and also includes some practical examples.","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"116 36","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140986467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mr. M. Uday Kumar, Y. Vijay Marreddy, K. Sai Kiran Reddy, P. Akhileshwar, U. Sai Charan, S. Srikanth
{"title":"Movie Ticket Booking Application","authors":"Mr. M. Uday Kumar, Y. Vijay Marreddy, K. Sai Kiran Reddy, P. Akhileshwar, U. Sai Charan, S. Srikanth","doi":"10.48175/ijarsct-18172","DOIUrl":"https://doi.org/10.48175/ijarsct-18172","url":null,"abstract":"In this digital age, buying movie tickets the old-fashioned way has been replaced by an efficient online experience. The main characteristics and advantages of a cinema ticket booking system are described in this abstract. This system provides a feature-rich online platform that may be accessed by mobile and web applications. Customers may quickly peruse a huge library of films, check the showtimes, and instantly select the seats they want. A seamless and safe transaction process is ensured by the system's integration of secure payment gateways. Customers can book tickets whenever and wherever they choose thanks to the system's simplicity and flexibility. Customized recommendations, dynamic pricing, and seat selection are examples of advanced features that improve the user experience overall. Theatre employees can effectively manage ticket inventory, track sales analytics, and optimise seat allocation with the system's comprehensive management interface. Administrators are informed and empowered to make data-driven choices thanks to real-time updates and notifications. Additionally, the system places a high priority on inclusion and accessibility, with features like multilingual help and seating accommodations for those with special needs. In conclusion, this technology offers a smooth, user-centric experience for both patrons and theatre operators, signalling a paradigm shift in the movie ticket booking industry. With its cutting-edge capabilities and user-friendly interface, it raises the bar for watching movies on a digital device","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":" 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140988134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aparna K. S, Muskan, Nadira Ishrath, Naveed Sufiyan, Mohammed Muzzammil
{"title":"Smart Application to Avoid Road Accidents Caused by Speed Breakers","authors":"Aparna K. S, Muskan, Nadira Ishrath, Naveed Sufiyan, Mohammed Muzzammil","doi":"10.48175/ijarsct-18205","DOIUrl":"https://doi.org/10.48175/ijarsct-18205","url":null,"abstract":"The intelligent application presented in this study aims to stop speed breakers from causing accidents on the road. The application employs on board sensors and GPS technologies to identify speed violators and notify drivers. The software detects speed breakers and alerts drivers in real time by combining sensor data analysis and machine learning methods. Our application aims to enhance road safety by notifying drivers about speed breakers. Therefore, reducing the possibility of accidents and making the road safer for everyone","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":" 1019","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140989275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dr. B. V. Pranay Kumar, P. Rahul, S. Avinash, K. Shyamsundar, B. Sandhya
{"title":"Object Detection using Convolutional Neural Network","authors":"Dr. B. V. Pranay Kumar, P. Rahul, S. Avinash, K. Shyamsundar, B. Sandhya","doi":"10.48175/ijarsct-18176","DOIUrl":"https://doi.org/10.48175/ijarsct-18176","url":null,"abstract":"During the last years, a noticeable growth is observed in the field of computer vision research. In computer vision, object detection is a task of classifying and localizing the objects in order to detect the same. The widely used object detection applications are human– computer interaction, video surveillance, satellite imagery, transport system, and activity recognition. In the wider family of deep learning architectures, convolutional neural network (CNN) made up with set of neural network layers is used for visual imagery. Deep CNN architectures exhibit impressive results for detection of objects in digital image. This paper represents a comprehensive review of the recent development in object detection using convolutional neural networks","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":" 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140988693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Ramaraju, L Rudramadevi, M. Shirisha, M Harshavardhan, A Raju
{"title":"Refining Travel Suggestions using Python","authors":"M. Ramaraju, L Rudramadevi, M. Shirisha, M Harshavardhan, A Raju","doi":"10.48175/ijarsct-18173","DOIUrl":"https://doi.org/10.48175/ijarsct-18173","url":null,"abstract":"In the era of personalized travel experiences, the need for intelligent and adaptive planning tools is paramount. This is developed using Python, harnesses the power of machine learning to analyse traveller preferences and patterns, offering customized destination suggestions. The core of this study is to demonstrate how machine learning can transform traditional travel planning into a more efficient, personalized experience. By integrating user data and preferences, the system proposes itineraries that not only align with individual interests but also enhance the overall travel experience. This details the development process, the machine learning techniques employed, and the efficacy of Python in creating a dynamic and responsive travel planning website. The goal is to enhance the user experience in planning trips by providing optimizing destination suggestions, considering factors like historical preferences, budget constraints, and time availability.","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":" July","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140989901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shiva Kumar V, Akshaya J, B Thulasi Brundha, G Saiprasanna
{"title":"Aadhar Based Biometric Electronic Voting System","authors":"Shiva Kumar V, Akshaya J, B Thulasi Brundha, G Saiprasanna","doi":"10.48175/ijarsct-18180","DOIUrl":"https://doi.org/10.48175/ijarsct-18180","url":null,"abstract":"Flawless voting is guaranteed through the use of Electronic Voting Machines. It is crucial for citizens to have confidence in the security of their votes and to prevent any fraudulent activities. The primary objective of this initiative is to create a secure Electronic Voting Machine that utilizes fingerprint identification technology. To access fingerprints, the AADHAR card database is utilized. During elections, the authentication process for e-voting involves finger vein sensing, which allows voters to cast their votes after electronic ballot reset. Furthermore, the voting data and details of voters can be transmitted to the nearby Database Administration unit via WIFI. The fingerprint scanning feature is implemented to ensure security and prevent issues like fake or repeated voting. This system not only improves accuracy but also enhances the speed of the voting process","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":"6 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140988487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design and Fabrication of Unmanned Arial Vehicle (UAV) Emergency Medical Purpose","authors":"Apurva Sutare, Akshat Dhurve, Devilal Verma, Krishna Rai, Sahil Ketkatpure, Dr. Shailendra Daf","doi":"10.48175/ijarsct-18203","DOIUrl":"https://doi.org/10.48175/ijarsct-18203","url":null,"abstract":"This paper presents an Emergency Drone Delivery System (EDDS) designed to expedite medical supply transport in critical situations. The system utilizes unmanned aerial vehicles (UAVs) equipped with medical payloads to swiftly deliver essential supplies such as blood, vaccines, and medication to remote or inaccessible locations. Key features include real-time monitoring, route optimization, and autonomous operation, ensuring rapid response times and efficient resource allocation during emergencies. Through case studies and simulations, the efficacy and potential impact of EDDS in enhancing emergency healthcare delivery are demonstrated","PeriodicalId":510160,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":" 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140988868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}