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  IJCRT Search Xplore - Search all paper by Paper Name , Author Name, and Title

Volume 11 | Issue 5 |

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  Paper Title: A study of social media marketing with reference to Hospitality sector

  Author Name(s): Dr. Saveen Kumari, Rekha

  Published Paper ID: - IJCRT2305102

  Register Paper ID - 236013

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2305102 and DOI :

  Author Country : Indian Author, India, 124001 , Rohtak, 124001 , | Research Area: Commerce All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2305102
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  Title: A STUDY OF SOCIAL MEDIA MARKETING WITH REFERENCE TO HOSPITALITY SECTOR

 DOI (Digital Object Identifier) :

 Pubished in Volume: 11  | Issue: 5  | Year: May 2023

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Commerce All

 Author type: Indian Author

 Pubished in Volume: 11

 Issue: 5

 Pages: a776-a782

 Year: May 2023

 Downloads: 152

  E-ISSN Number: 2320-2882

 Abstract

The hospitality sector is quite diverse and includes a wide range of categories and industries, including the hotel business, aviation, food and beverage, travel, and tourism, to mention a few. There is a greater requirement from management and industry professionals to understand how guests choose hotels to stay in and what are the dominant decision-making criteria as a result of the hospitality industry's and the hotel sector's strong expansion in recent years. In addition, this study's objective is to thoroughly examine and examine the literature on the aspects that social media marketing influences. In addition, despite years of research, it appears that we still know very little about how guests choose their hotel accommodations and the key hotel characteristics because this topic may be subjective and challenging to analyze. This is also influenced by the fact that the majority of earlier studies concentrated on choice attributes rather than the actual decision-making process; consequently, this paper will attempt to investigate a wide range of literature in order to establish best research practices and make suggestions for future studies. This essay also looks at literature on hotel-related topics and client decision-making, both of which are crucial in the rapidly expanding hospitality sector.


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Hospitality, Social media marketing, Tourism industry

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  Paper Title: A SYSTEMATIC REVIEW OF EBOLA VIRAL DISEASE.

  Author Name(s): Shelake Sujit Nandkumar, Gade Vijay Limbraj, Gaikwad Akash Mukund, Dr.Aamer Quazi

  Published Paper ID: - IJCRT2305101

  Register Paper ID - 236012

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2305101 and DOI :

  Author Country : Indian Author, India, 413501 , Osmanabad , 413501 , | Research Area: Pharmacy All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2305101
Published Paper PDF: download.php?file=IJCRT2305101
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2305101.pdf

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  Title: A SYSTEMATIC REVIEW OF EBOLA VIRAL DISEASE.

 DOI (Digital Object Identifier) :

 Pubished in Volume: 11  | Issue: 5  | Year: May 2023

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Pharmacy All

 Author type: Indian Author

 Pubished in Volume: 11

 Issue: 5

 Pages: a768-a775

 Year: May 2023

 Downloads: 123

  E-ISSN Number: 2320-2882

 Abstract

Ebola virus is transmitted to people as a result of direct contact with body fluids containing virus of an infected case. The incubation period generally lasts 5 to 7 d and roughly 95 of the cases appear signs within 21 d after exposure. Typical features include fever, profound weakness, diarrhea, abdominal pain, cramping, nausea and puking for 3- 5 days and perhaps persisting for over to a week. Laboratory complications including elevated aminotransferase situations, pronounced lymphocytopenia, and thrombocytopenia may have passed. Hemorrhagic fever occurs in lower than half of cases and it takes place most generally in the gastrointestinaltract.Ebola contagion complaint( EVD) is a life- hanging viral complaint with a casualty rate ranging from around 30 to 90. The first EVD outbreak was reported in the 1970s in Zaire( now the Democratic Republic of the Congo). Until 2013, utmost outbreaks passed in the Central Africa region, including Zaire, Sudan and Uganda. still, between March and October 2014, over 10000 cases of EVD have been recorded in West Africa, similar as in Guinea, Liberia, Sierra Leone, and Nigeria, and a many sanitarium or secondary infections of EVD have passed in Spain and the United States of America. EVD is presently one of the world's most stressed conditions. In this literature review, we describe the epidemiology, clinical features, opinion, and treatment of EVD.


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Keywords: Ebola virus, Outbreak, Treatment, Hemorrhagic fever.

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  Paper Title: Virtual Teaching Board

  Author Name(s): Varsha Bandi, Baline Yugendhar, Daki AnilRaj, G.Shyama Chandra Prasad

  Published Paper ID: - IJCRT2305100

  Register Paper ID - 235996

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2305100 and DOI :

  Author Country : Indian Author, India, 500059 , Hyderabad, 500059 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2305100
Published Paper PDF: download.php?file=IJCRT2305100
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2305100.pdf

  Your Paper Publication Details:

  Title: VIRTUAL TEACHING BOARD

 DOI (Digital Object Identifier) :

 Pubished in Volume: 11  | Issue: 5  | Year: May 2023

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 11

 Issue: 5

 Pages: a758-a767

 Year: May 2023

 Downloads: 188

  E-ISSN Number: 2320-2882

 Abstract

We currently have a variety of white board softwares available for online instruction. Every piece of software has benefits and drawbacks. The fact that many typical whiteboard software programmes require hardware pointing devices or a touch-sensitive screen for interaction, such as a stylus, digital pens, mice, etc., is one of their key drawbacks. Therefore, we are introducing Virtual Teaching Board, which is a hand movement based writing in the air software, to avoid the use of such pointing devices and to make online learning more interesting and effective. Instead than using external hardware devices like a mouse, stylus, digital pens, etc. to write on the whiteboard, it uses a variety of hand movements with the fingertips in the air. It offers users a lighthearted setting. The Virtual Board Module, Presentation Module, and Calculation Module are the three modules that make up this project. In the Virtual Board module, we give the user interface functionalities for selecting the type of board (Normal or Blackboard), choosing the colour of writing, using an eraser, switching between presentation and calculator modes, and more. Users can write on the screen using different colours by simply waving their fingertip in the air in the Virtual Board Module's writing mode and board type, and they can entirely erase the board by waving five fingers across it. And by choosing Presentation mode, the user enters the Presentation module, where they can give a presentation by advancing and reversing slides with simple hand motions. In this project, we employed the Open-cv, Mediapipe, NumPy, and Python programming languages. By including certain other features like Physical properties and Physical Stimulations to the objects created on the virtual board in Stage-2, this programme can be upgraded even further.


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 Keywords

Virtual Teaching Board , Presentation Mode , Calculator Mode ,Hand Gesture Recognition , Black Board

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  Paper Title: Quantitative Ethnobotanical study of wetland medicinal plants used by the Meitei community of Bishnupur District, Manipur

  Author Name(s): Thokchom Sunita Devi, Maibam Haripiya Devi, Potsangbam Kumar Singh

  Published Paper ID: - IJCRT2305099

  Register Paper ID - 235994

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2305099 and DOI :

  Author Country : Indian Author, India, 795008 , Imphal, Manipur, 795008 , | Research Area: Life Sciences All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2305099
Published Paper PDF: download.php?file=IJCRT2305099
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2305099.pdf

  Your Paper Publication Details:

  Title: QUANTITATIVE ETHNOBOTANICAL STUDY OF WETLAND MEDICINAL PLANTS USED BY THE MEITEI COMMUNITY OF BISHNUPUR DISTRICT, MANIPUR

 DOI (Digital Object Identifier) :

 Pubished in Volume: 11  | Issue: 5  | Year: May 2023

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Life Sciences All

 Author type: Indian Author

 Pubished in Volume: 11

 Issue: 5

 Pages: a743-a757

 Year: May 2023

 Downloads: 156

  E-ISSN Number: 2320-2882

 Abstract

ABSTRACT BACKGROUND OF THE WORK: This paper represents the records of the quantitative data regarding the wetland medicinal plants used by the local Meitei community of Bishnupur district. Quantitative indices such as use value (UV), Informant consensus factor (FIC), and fidelity level (FL) were used to understand the preferences and consensus existing among the informants regarding the wetland medicinal plants used. MATERIALS AND METHODS: A total of 230 informants (135 males, 85 females) and 10 key informants who have traditional medicinal knowledge of the plants were selected for data analysis. Data collection and data analysis were done through frequent survey programs based on open-ended and semi-structured questionnaires. RESULTS: The study reveals that overall, 18 ailments categories were being treated with a total of 56 wetland medicinal plant species belonging to 50 genera that are distributed over 28 families. It was found that the Asteraceae family was the most dominant among all other families followed by Poaceae and Amaranthaceae. The informant consensus factor (Fic) for skeleton muscular system disorder (SMSD) was found to be the highest among all the ailment categories with a value of 0.86 followed by endocrinal disorder (ED) with a value of 0.82 and respiratory system disorder (RSD) with a value of 0.81. The Highest fidelity level was found in Helichrysum luteoalbum (L.) Rchb. with a value of 89 % which was included in the skeleton muscular disorder ailment category. Maximum FL determines high preference and potential of healing among the informant for treating a particular ailment. CONCLUSION: The wetland medicinal plants with the highest fidelity level (FL), use value (UV), and high informant consensus factor (FIC) from the present study indicate the possibilities of occurrence of the high rate of potential phytochemical compounds to carry out pharmacological and biochemical assay which could be led to the discovery of new drugs for the future.


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 Keywords

Wetland, Ethnobotanical, Quantitative, Informant consensus factor, Ailments

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  Paper Title: Driving Towards Financial Success: An Exhaustive Analysis of Tata Motors

  Author Name(s): Dr SIVAPRAKASH J S, SIDDHARTH IYER

  Published Paper ID: - IJCRT2305098

  Register Paper ID - 235990

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2305098 and DOI :

  Author Country : Indian Author, India, - , -, - , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2305098
Published Paper PDF: download.php?file=IJCRT2305098
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  Your Paper Publication Details:

  Title: DRIVING TOWARDS FINANCIAL SUCCESS: AN EXHAUSTIVE ANALYSIS OF TATA MOTORS

 DOI (Digital Object Identifier) :

 Pubished in Volume: 11  | Issue: 5  | Year: May 2023

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 11

 Issue: 5

 Pages: a734-a742

 Year: May 2023

 Downloads: 156

  E-ISSN Number: 2320-2882

 Abstract

This is a financial analysis of Tata Motors, a leading automobile manufacturer in India, providing a comprehensive framework for evaluating the company's performance and financial health. With operations in South Korea, the United Kingdom, Thailand, Indonesia, and South Africa through a strong global network of 113 subsidiary and associate firms, Tata Motors, a $35 billion company and a subsidiary of the USD 113 billion Tata group, is a global leader in automotive manufacturing. The analysis includes a review of the company's income statement, balance sheet, and cash flow statement, as well as key financial ratios such as revenue growth, gross profit margin, operating profit margin, current ratio, debt-to-equity ratio, and return on equity. This overview highlights the importance of considering both quantitative and qualitative factors, such as industry trends and competition, when evaluating a company's financial performance. While specific financial data for Tata Motors is not provided, this analysis serves as a general guide for conducting a thorough financial analysis of a company. The findings of this report can be used to make informed investment decisions or to evaluate the financial health of Tata Motors as a potential business partner.


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 Keywords

Financial analysis; Income statement; Balance sheet; Financial ratios; Revenue growth; Current ratio; Return on equity; Industry trends.

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  Paper Title: An analysis of the role of Shadow Banking in India and the Challenges it confronts

  Author Name(s): Dr. Amit Kumar, Dr. Ramanjeet Singh, Pratibha Wasan

  Published Paper ID: - IJCRT2305097

  Register Paper ID - 235984

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2305097 and DOI : http://doi.one/10.1729/Journal.34056

  Author Country : Indian Author, India, 125001 , Hisar, 125001 , | Research Area: Management All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2305097
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  Your Paper Publication Details:

  Title: AN ANALYSIS OF THE ROLE OF SHADOW BANKING IN INDIA AND THE CHALLENGES IT CONFRONTS

 DOI (Digital Object Identifier) : http://doi.one/10.1729/Journal.34056

 Pubished in Volume: 11  | Issue: 5  | Year: May 2023

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Management All

 Author type: Indian Author

 Pubished in Volume: 11

 Issue: 5

 Pages: a730-a733

 Year: May 2023

 Downloads: 160

  E-ISSN Number: 2320-2882

 Abstract

Although shadow banks may be traced back to the 1970s, they have grown significantly in recent decades in emerging nations. Similar expansion in shadow banks has also been observed in India. The term shadow banking firstly coined by the Paul Mc. Culley in 2007. Shadow banking is occurred and exists in all economies. Shadow banking are worked as a financial intermediation which include all activities performed outside the regular banking system.The last two to three decades, the financial sector has witnessed a lot of changes and growing competition.Many shadow banking companies are the subsidiary company whose parent company is traditional bank. In the financial crises of 2008, shadow banks play important role in housing credit and their size is increased. This Paper's objectives are to investigate the Role and Challenges of shadow banking in India.


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Shadow banking, financial sector, Non-banking financial companies, and financial crises.

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Creative Commons Attribution 4.0 and The Open Definition


  Paper Title: Online Public Hate Speech Detection Using Machine Learning

  Author Name(s): Akshay Salunkhe, Prayag satpute, Aditya bhosale, Bhupendra gujar, Bhaven Doshi

  Published Paper ID: - IJCRT2305096

  Register Paper ID - 235971

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2305096 and DOI :

  Author Country : Indian Author, India, 411046 , pune, 411046 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2305096
Published Paper PDF: download.php?file=IJCRT2305096
Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2305096.pdf

  Your Paper Publication Details:

  Title: ONLINE PUBLIC HATE SPEECH DETECTION USING MACHINE LEARNING

 DOI (Digital Object Identifier) :

 Pubished in Volume: 11  | Issue: 5  | Year: May 2023

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 11

 Issue: 5

 Pages: a723-a729

 Year: May 2023

 Downloads: 156

  E-ISSN Number: 2320-2882

 Abstract

Globally, social media platforms have billions--not millions--of users. People's interactions on these widely accessible social media platforms, like Twitter, have a significant impact. There are undesired negative effects on modern life. One of the most extravagant social media platforms in our time, Twitter, is now used as a weapon to share unethical, excessive amounts of opinions and media. These widely used major communication platforms have evolved into a great source of disseminating unwanted data and irrelevant information. The suggested effort divides the nine sorts of insulting remarks and tweets directed at specific individuals. These types of tweets are further divided into non-shaming tweets towards persons. According to observation, the majority of people who write comments on a certain occasion and are interested in doing so are likely to change the person in question. Additionally, it is the Twitter shamer who checks the increase faster than the non-shaming devotee.


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Tweet Classification, user behaviour, remove dishonouring, public dishonouring.

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  Paper Title: Awareness of Teaching Strategies for Inclusive Schools - A Study

  Author Name(s): J.Aruna, Research Scholar, Prof. Satyaveer Yadav

  Published Paper ID: - IJCRT2305095

  Register Paper ID - 235956

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2305095 and DOI :

  Author Country : Indian Author, India, 333031 , Hyderabad, 333031 , | Research Area: Arts1 All

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2305095
Published Paper PDF: download.php?file=IJCRT2305095
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  Your Paper Publication Details:

  Title: AWARENESS OF TEACHING STRATEGIES FOR INCLUSIVE SCHOOLS - A STUDY

 DOI (Digital Object Identifier) :

 Pubished in Volume: 11  | Issue: 5  | Year: May 2023

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Arts1 All

 Author type: Indian Author

 Pubished in Volume: 11

 Issue: 5

 Pages: a707-a722

 Year: May 2023

 Downloads: 154

  E-ISSN Number: 2320-2882

 Abstract

Inclusion is the hallmark of the 21st Century. Inclusive education explores evidence-based strategies to support diverse learners, including specific changes in curriculum, pedagogy and assessment practices. It addresses the needs of children with physical, sensory and intellectual disabilities, as well as those with complex learning problems. The chief purport of the current article is to delineate level of the awareness of teachers using various strategies for children under inclusion with special reference to gender, qualifications and management. A sample of 199 Regular Teachers as well as Resource Teachers were selected under Inclusive settings in Rangareddy and Hyderabad districts of the State of Telangana, employing simple random sampling technique. A self-developed tool which consists of 15 statements reflecting on peer-tutoring; Self-instruction; co-teaching and Direct instruction strategies was used to elicit the required information. No significant difference was found between awareness of teachers in using various strategies with special reference to their gender and management, while, a significant difference was indicated with reference to qualifications. Educational implications were drawn based on the findings and recommendations for further research was also depicted.


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Index Terms - Awareness; Inclusive education; peer-tutoring; co-teaching; self-instruction; direct teaching

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  Paper Title: Lung Cancer Prediction With CT Scan Images Using Machine Learning

  Author Name(s): Mr. Siju V Soman, Akanksha, Akanksha U Saadhana, Arva Fathima, Nazila Hamad Bhava

  Published Paper ID: - IJCRT2305094

  Register Paper ID - 235954

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2305094 and DOI :

  Author Country : Indian Author, India, 575006 , Mangaluru, 575006 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2305094
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  Your Paper Publication Details:

  Title: LUNG CANCER PREDICTION WITH CT SCAN IMAGES USING MACHINE LEARNING

 DOI (Digital Object Identifier) :

 Pubished in Volume: 11  | Issue: 5  | Year: May 2023

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 11

 Issue: 5

 Pages: a702-a706

 Year: May 2023

 Downloads: 114

  E-ISSN Number: 2320-2882

 Abstract

Lung cancer is a serious disease that can be life-threatening if not diagnosed and treated in time. Early detection is crucial for improving patient survival rates. To achieve this, researchers are using advanced technologies such as image processing and machine learning to analyze medical images for the early detection and treatment of lung cancer. In this study, the researchers propose an automated approach that uses computed tomography (CT) images to identify lung cancer in its early stages. The main objective is to achieve high accuracy in lung cancer diagnosis. The proposed framework involves several steps, including image enhancement, filtering, segmentation, feature extraction, and support vector machine. The experiment results show the accuracy performance of the proposed method, indicating its potential to improve lung cancer diagnosis and treatment.


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Lung Cancer, CT scan, Machine Learning, Convolution Neural Network, Image processing.

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  Paper Title: SMART SURVELLIANCE SYSTEM USING MACHINE LEARNING

  Author Name(s): Sharon C D'souza, Sandeep Benny, Shaham Abdulla C P, Sahad Abdulla C P, Albin John

  Published Paper ID: - IJCRT2305093

  Register Paper ID - 235937

  Publisher Journal Name: IJPUBLICATION, IJCRT

  DOI Member ID: 10.6084/m9.doi.one.IJCRT2305093 and DOI :

  Author Country : Indian Author, India, 575006 , Mangalore, 575006 , | Research Area: Science and Technology

Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2305093
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  Your Paper Publication Details:

  Title: SMART SURVELLIANCE SYSTEM USING MACHINE LEARNING

 DOI (Digital Object Identifier) :

 Pubished in Volume: 11  | Issue: 5  | Year: May 2023

 Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882

 Subject Area: Science and Technology

 Author type: Indian Author

 Pubished in Volume: 11

 Issue: 5

 Pages: a694-a701

 Year: May 2023

 Downloads: 152

  E-ISSN Number: 2320-2882

 Abstract

: In the modern world, welfare, and security are important considerations. Whether at home or at business, people hire security systems to secure their belongings. In a typical surveillance setup, anything that occurs is recorded while people just wait for something to happen. The recommended system is a Python GUI application developed with the most recent programming language and the quickly growing discipline of computer science known as "computer vision," which translates to "this allows the computer to observe" or "gives the computer the capacity to see." In our study, we are largely emphasizing the components of smart surveillance that are monitored--at least for the time being. The goal of gaining a deeper knowledge of computer vision systems is currently outside the scope of the high-tech expansion of computer vision. video recording, features, facial recognition, noise detection, in-room visitor detection, and noise reduction.


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 Keywords

Computer Vision, Object Detection, Real-Time Alerts, Face Identification.

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