Mahalakshmi K, Dharish Jaya priyan J, DharshanRaj N, Aravind A
{"title":"Enhancing House Price Predictability: A Comprehensive Analysis of Machine Learning Techniques for Real Estate and Policy Decision-Making","authors":"Mahalakshmi K, Dharish Jaya priyan J, DharshanRaj N, Aravind A","doi":"10.46632/daai/4/2/11","DOIUrl":"https://doi.org/10.46632/daai/4/2/11","url":null,"abstract":"Accurate house price prediction is crucial for stakeholders in real estate markets and economic policy formulation. This research investigates the application of sophisticated machine learning (ML) algorithms to improve the precision of house price forecasting. By analyzing existing literature, we explore the methodologies employed in house price prediction using ML approaches. We emphasize the significance of precise predictions for various stakeholders, including homebuyers, sellers, investors, and policymakers. Additionally, this abstract critically evaluates the strengths and limitations of different ML \u0000techniques in predicting housing prices Our goal is to enhance predictability of models through rigorous analysis, thus facilitating informed decision-making when it comes to housing transactions, investments, and policy implementations through our research.","PeriodicalId":226827,"journal":{"name":"Data Analytics and Artificial Intelligence","volume":"16 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141696989","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":"Digital Assistant for Video KYC Framework in India","authors":"Mizpah Queeny R, K. S, A. V, Harini A, Harithaa S","doi":"10.46632/daai/4/2/12","DOIUrl":"https://doi.org/10.46632/daai/4/2/12","url":null,"abstract":"The Know Your Customer (KYC) operations in India need to be done securely and efficiently \u0000due to the financial services industry's fast digitalization. The creation of a digital assistant that is customized for the Video KYC framework and prioritizes user experience over compliance requirements is suggested in this abstract. The digital assistant uses artificial intelligence and natural language processing to automate the KYC process and guarantee accuracy, dependability, and compliance with rules like those issued by the Reserve Bank of India (RBI). The assistant improves security protocols by utilizing advanced facial recognition, document verification, and biometric authentication, hence reducing \u0000the potential for identity fraud and data breaches.","PeriodicalId":226827,"journal":{"name":"Data Analytics and Artificial Intelligence","volume":"77 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141690756","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}
Soundharya K, K. S, Velmurugan T, Vishwa S, Srikanth S. G. S
{"title":"Smart Home Automation","authors":"Soundharya K, K. S, Velmurugan T, Vishwa S, Srikanth S. G. S","doi":"10.46632/daai/4/2/13","DOIUrl":"https://doi.org/10.46632/daai/4/2/13","url":null,"abstract":"The Smart Home Concept responds to the increasing need for integrating smart appliances and systems within residential environments. It includes a growing array of devices, services, and applications designed to simplify daily tasks and enhance the quality of life. Utilizing various technologies and standards, numerous device suppliers offer a wide range of solutions, including meters, actuators, sensors, and micro systems, which are integrated into the home environment. This advanced system incorporates sensors, artificial intelligence, and machine learning algorithms to develop an intelligent, responsive, and personalized living space. Continuous sensor data collection on environmental conditions and user behaviors allows AI to autonomously manage various home functions. The system emphasizes interoperability and standardization to ensure compatibility with a wide range of devices. Improvements in natural language processing and voice recognition further enhance human-machine interactions. This comprehensive approach aims to optimize energy efficiency, bolster security, and streamline daily activities, providing residents with a more intuitive and adaptable smart home experience in the evolving field of home automation.","PeriodicalId":226827,"journal":{"name":"Data Analytics and Artificial Intelligence","volume":"20 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141689011","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":"Hydro Electrometric Tracking Application","authors":"","doi":"10.46632/daai/4/2/10","DOIUrl":"https://doi.org/10.46632/daai/4/2/10","url":null,"abstract":"We offer a brand-new technique for real-time control over the project's water flow rate and electricity usage. Unlike current systems, which are frequently costly and solely monitor power or water, our method integrates both parameters into a single, reasonably priced platform. Our solution allows users to track their resource consumption in real-time by utilizing Arduino-based sensors and a user-friendly mobile application created with MIT App Inventor. By providing consumers with the knowledge, they need to make educated decisions about how much water and power to use, this promotes more effective and sustainable resource management. It is unique in that it provides an affordable solution that integrates water and power metering capabilities, solving major issues with current systems.","PeriodicalId":226827,"journal":{"name":"Data Analytics and Artificial Intelligence","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141383426","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":"Analysis of Machine Learning Models for Hate Speech Detection in Online Content","authors":"","doi":"10.46632/daai/4/2/9","DOIUrl":"https://doi.org/10.46632/daai/4/2/9","url":null,"abstract":"The internet has become a vital platform for people to express their views and beliefs. The users on social media platforms and blogging services are free to publish anything they like. But occasionally, information that targets a particular group of people intending to promote hate or discrimination rises causing trouble in the community. We refer to such material as hate speech. Hate speech has the potential to significantly damage social peace and harmony. Extremism and societal instability have occasionally resulted from hate speech. The several forms of hate speech like racism, sexism, hate speech based on religion, etc.—as well as the approaches put out to combat them are covered. Additionally, we list the problems and provide fixes for issues with hate speech identification on the open internet. Therefore, it is necessary to monitor hate speech on the internet. We analyze relevant research in the field of hate speech detection in this paper. Our proposed system not only identify the Hate Speech on internet but also label them into categories like (Offensive Speech, Hate Speech, fair Speech etc.) The gathered information can be processed to provide Hate speech reports, which will make the internet more user-friendly for anyone using it.","PeriodicalId":226827,"journal":{"name":"Data Analytics and Artificial Intelligence","volume":"28 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141382640","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":"Detection of Diabetic Retinopathy Using KNN & SVM Algorithm","authors":"","doi":"10.46632/daai/4/2/8","DOIUrl":"https://doi.org/10.46632/daai/4/2/8","url":null,"abstract":"Diabetic Retinopathy (DR) is a medical condition caused by diabetes. The development of retinopathy significantly depends on how long a person has had diabetes. Initially, there may be no symptoms or just a slight vision problem due to impairment of the retinal blood vessels. Later, it may lead to blindness. Recognizing the early clinical signs of DR is very important for intervening in and effectively treating DR. Thus, regular eye check-ups are necessary to direct the person to a doctor for a comprehensive ocular examination and treatment as soon as possible to avoid permanent vision loss. Nevertheless, due to limited resources, it is not feasible for screening. As a result, emerging technologies, such as artificial intelligence, for the automatic detection and classification of DR are alternative screening methodologies and thereby make the system cost-effective. People have been working on artificial- intelligence-based technologies to detect and analyze DR in recent years. This study aimed to investigate different machine learning styles that are chosen for diagnosing retinopathy. Thus, a bibliometric analysis was systematically done to discover different machine learning styles for detecting diabetic retinopathy. The data were exported from popular databases, namely, Web of Science (WoS) and Scopus. These data were analyzed using Biblioshiny and VOS viewer in terms of publications, top countries, sources, subject area, top authors, trend topics, co-occurrences, thematic evolution, factorial map, citation analysis, etc., which form the base for researchers to identify the research gaps in diabetic retinopathy detection and classification","PeriodicalId":226827,"journal":{"name":"Data Analytics and Artificial Intelligence","volume":"62 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141382969","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":"A Study on Network Security Through a Combined Cryptographic Strategy","authors":"","doi":"10.46632/daai/4/2/7","DOIUrl":"https://doi.org/10.46632/daai/4/2/7","url":null,"abstract":"","PeriodicalId":226827,"journal":{"name":"Data Analytics and Artificial Intelligence","volume":"39 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141275205","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":"A Study On Predictive Modeling for Niche Website Success","authors":"","doi":"10.46632/daai/4/2/4","DOIUrl":"https://doi.org/10.46632/daai/4/2/4","url":null,"abstract":"","PeriodicalId":226827,"journal":{"name":"Data Analytics and Artificial Intelligence","volume":"57 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141275810","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":"Prediction of COVID-19 From Chest X-Ray Images","authors":"","doi":"10.46632/daai/4/2/2","DOIUrl":"https://doi.org/10.46632/daai/4/2/2","url":null,"abstract":"","PeriodicalId":226827,"journal":{"name":"Data Analytics and Artificial Intelligence","volume":"29 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141276154","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":"Video Transcription in to Enhanced Text Summarization","authors":"","doi":"10.46632/daai/4/2/3","DOIUrl":"https://doi.org/10.46632/daai/4/2/3","url":null,"abstract":"","PeriodicalId":226827,"journal":{"name":"Data Analytics and Artificial Intelligence","volume":"4 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141276504","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}
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