IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.
ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(CrossRef DOI)
| IJCRT Journal front page | IJCRT Journal Back Page |
Paper Title: Credit Card Fraud Detection using Machine LearningA Review.
Author Name(s): Esha Santosh Mohite, Monica Dashrath Bhumarkar
Published Paper ID: - IJCRT2401012
Register Paper ID - 248833
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2401012 and DOI :
Author Country : Indian Author, India, 400065 , Mumbai, 400065 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2401012 Published Paper PDF: download.php?file=IJCRT2401012 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2401012.pdf
Title: CREDIT CARD FRAUD DETECTION USING MACHINE LEARNINGA REVIEW.
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 1 | Year: January 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 1
Pages: a73-a79
Year: January 2024
Downloads: 467
E-ISSN Number: 2320-2882
Nowadays, the usage of credit cards has dramatically increased. As credit cards become the most popular mode of payment for both online and regular purchases, cases of fraud associated with them are also rising. Criminals use fake identification and numerous technologies to attract customers and get cash out of them. Due to the increase in fraud, various techniques and methodologies have been developed for detecting it. In this paper, we discuss the different ways credit card frauds are committed and which machine learning algorithms are used by investigators to detect fraud
Licence: creative commons attribution 4.0
Machine Learning, credit card, fraud detection, SVM, Decision Tree, Logistic regression
Paper Title: Multimodal Fusion for Depression Detection: A Deep Learning Approach
Author Name(s): Ms. Anshu, Ms. Monika Sharma
Published Paper ID: - IJCRT2401011
Register Paper ID - 248689
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2401011 and DOI :
Author Country : Indian Author, India, 127021 , BHIWANI, 127021 , | Research Area: Others area Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2401011 Published Paper PDF: download.php?file=IJCRT2401011 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2401011.pdf
Title: MULTIMODAL FUSION FOR DEPRESSION DETECTION: A DEEP LEARNING APPROACH
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 1 | Year: January 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Others area
Author type: Indian Author
Pubished in Volume: 12
Issue: 1
Pages: a67-a72
Year: January 2024
Downloads: 376
E-ISSN Number: 2320-2882
Depression, a primary contributor to the global burden of disease, requires timely identification and intervention to improve outcomes. We propose a multi-modal fusion framework composed of deep convolutional neural network (DCNN) and deep neural network (DNN) models. Our framework considers audio, video and text streams [1]. This study utilizes multimodal fusion, combining text, audio, and visual data, to enhance the detection of depression. Early intervention is crucial in order to prevent long-term consequences, improve treatment response, maintain functionality, reduce the risk of recurrence, prevent symptom escalation, promote physical well-being, and encourage healthy coping mechanisms. Multimodal fusion enables a comprehensive assessment, enhancing accuracy and facilitating the early detection of subtle symptoms. The objective of this research is to create diverse datasets, extract features, develop deep learning models, and evaluate performance, with a focus on contextual understanding. The methodology emphasizes the importance of high-quality and diverse datasets, and various multimodal fusion techniques have shown promising results, achieving high levels of accuracy, sensitivity, specificity, and precision. This research significantly contributes to the advancement of depression detection methodologies, providing a comprehensive solution for this complex mental health disorder.
Licence: creative commons attribution 4.0
Depression, Multimodal fusion, Depression Detection
Paper Title: AI in Healthcare: Current Perspectives, Challenges and Examples
Author Name(s): Jayalaxmi Dash, Sashikanta Prusty
Published Paper ID: - IJCRT2401010
Register Paper ID - 248878
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2401010 and DOI :
Author Country : Indian Author, India, 751030 , BHUBANESWAR, 751030 , | Research Area: Health Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2401010 Published Paper PDF: download.php?file=IJCRT2401010 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2401010.pdf
Title: AI IN HEALTHCARE: CURRENT PERSPECTIVES, CHALLENGES AND EXAMPLES
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 1 | Year: January 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Health Science All
Author type: Indian Author
Pubished in Volume: 12
Issue: 1
Pages: a62-a66
Year: January 2024
Downloads: 418
E-ISSN Number: 2320-2882
In recent years, there has been a lot of interest in study on the growing use of artificial intelligence (AI) in health and medicine. Through the analysis of a patient's medical images and symptoms, AI gives intelligent computer-aided solutions that lead to effective treatment plans and the prediction of future outbreaks. Furthermore, the paucity of studies on the use of AI to certain high-burden diseases points to potential future paths for the field. The purpose of this study is to present real-time examples and issues related to AI in the healthcare sector.
Licence: creative commons attribution 4.0
AI, Challenges, Healthcare, Real-world Scenarios
Paper Title: RHINO-OCCULO-CEREBRAL MUCORMYCOSIS IN PATIENTS WITH TYPE 2 DIABETES MELLITUS
Author Name(s): DEVIKA ANIL KUMAR, MANIMEKALAI.P, KARKITHIKEYA .T.M, SAKETH.R, B V PURNESH
Published Paper ID: - IJCRT2401009
Register Paper ID - 247365
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2401009 and DOI :
Author Country : Indian Author, India, 600044 , Chennai, Chromepet, 600044 , | Research Area: Humanities All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2401009 Published Paper PDF: download.php?file=IJCRT2401009 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2401009.pdf
Title: RHINO-OCCULO-CEREBRAL MUCORMYCOSIS IN PATIENTS WITH TYPE 2 DIABETES MELLITUS
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 1 | Year: January 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Humanities All
Author type: Indian Author
Pubished in Volume: 12
Issue: 1
Pages: a60-a61
Year: January 2024
Downloads: 400
E-ISSN Number: 2320-2882
An interesting case of rhino-occulo-cerebral mucormycosis [ROCM] in patients suffering from type 2 diabetes mellitus is described in this article. The clinical presentation is given in details. The need for high degree of suspicion, prompt diagnosis and complete surgical evacuation of inflammatory mass; and prompt initiation of antifungal therapy is discussed. The side effects associated with amphoterecin and issue regarding its total dosage is discussed
Licence: creative commons attribution 4.0
Rhino-occulo-cerebral mucormycosis, Type 2 Diabetes Mellitus
Paper Title: ACCESSING THE NUTRITIONAL STATUS AMONG SCHOOL CHILDREN
Author Name(s): Archana Kasaudhan
Published Paper ID: - IJCRT2401008
Register Paper ID - 248767
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2401008 and DOI : https://doi.org/10.56975/ijcrt.v12i1.248767
Author Country : Indian Author, India, 228001 , Sultanpur, 228001 , | Research Area: Arts All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2401008 Published Paper PDF: download.php?file=IJCRT2401008 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2401008.pdf
Title: ACCESSING THE NUTRITIONAL STATUS AMONG SCHOOL CHILDREN
DOI (Digital Object Identifier) : https://doi.org/10.56975/ijcrt.v12i1.248767
Pubished in Volume: 12 | Issue: 1 | Year: January 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Arts All
Author type: Indian Author
Pubished in Volume: 12
Issue: 1
Pages: a55-a59
Year: January 2024
Downloads: 392
E-ISSN Number: 2320-2882
A healthy diet implies a stronger immune system, less disease, greater health, and a more productive society. Most school-age children in India are malnourished, mostly undernourished. The purpose of this review was to determine the prevalence of wasting, stunting, overweight, and obesity. The foundation for good health and a healthy mind is built throughout the school years. As a result, it is a fundamental milestone in a person's existence and is responsible for many of the changes that occur later in life. High levels of dietary deficiency and serious disease at an early age have harmful effects that manifest into adulthood. As a result, school age is nutritionally important, and children are considered a specific risk group.
Licence: creative commons attribution 4.0
School-going children, HAZ and BAZ, Nutritional status, Nutrients, Stunted.
Paper Title: A case study on Green Packaging Practices between Two leading e-commerce platform of India
Author Name(s): Bipasha Mridha Ghosh
Published Paper ID: - IJCRT2401007
Register Paper ID - 247767
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2401007 and DOI :
Author Country : Indian Author, India, 713212 , DURGAPUR, 713212 , | Research Area: Social Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2401007 Published Paper PDF: download.php?file=IJCRT2401007 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2401007.pdf
Title: A CASE STUDY ON GREEN PACKAGING PRACTICES BETWEEN TWO LEADING E-COMMERCE PLATFORM OF INDIA
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 1 | Year: January 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Social Science All
Author type: Indian Author
Pubished in Volume: 12
Issue: 1
Pages: a45-a54
Year: January 2024
Downloads: 526
E-ISSN Number: 2320-2882
Every day's hurry and work from home culture during and post COVID period has created a tendency of on line shopping. In addition, the e-commerce platforms are also promoting buying attitude among customer by offering various lucrative offer. This changing attitude of consumer from physical to virtual market, undoubtedly has enhanced profitability to online platform and cozyness in modern life. On the other hand, as products are being supplied from every nook and corners of the world, increasing load of packaging material or solid waste. In this article, packaging practices of two leading e-commerce platforms were studied and pointed out their changed behaviour towards sustainable packaging. The study found that among two e- commerce platform "Amazon" has taken few initiatives but exactly same may not be adopted by another platform "flipkart". However, this research concluded that there is a paradigm shift in the packaging material and sustainable approach in the e-commerce platforms as they have adopted a proactive strategy in terms of packaging strategies rather than reactive.
Licence: creative commons attribution 4.0
Green Packaging, E-commerce, Sustainable development
Paper Title: Quantum Mastery: Revolutionizing Speed And Insight In The Digital Era
Author Name(s): Dr.Anandhi, Ms.S.Afshan, Ms.A.Almas
Published Paper ID: - IJCRT2401006
Register Paper ID - 248868
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2401006 and DOI :
Author Country : Indian Author, India, 605502 , Pondicherry, 605502 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2401006 Published Paper PDF: download.php?file=IJCRT2401006 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2401006.pdf
Title: QUANTUM MASTERY: REVOLUTIONIZING SPEED AND INSIGHT IN THE DIGITAL ERA
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 1 | Year: January 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 1
Pages: a40-a44
Year: January 2024
Downloads: 387
E-ISSN Number: 2320-2882
Quantum computing, with its ability to process information using quantum bits (qubits) and harness the principles of quantum mechanics, promises to revolutionize various fields. This abstract explores the usage and applications of quantum computing. Notably, in the domain of cryptography, quantum computers pose a challenge to existing encryption methods, necessitating the development of post-quantum cryptography. Quantum computing also excels in optimization tasks, impacting logistics, finance, and supply chain management. Scientific research benefits from quantum computing, with applications in drug discovery and materials science through rapid simulations of complex molecular interactions. Moreover, quantum computing holds the potential to enhance artificial intelligence and machine learning, offering faster data analysis and improved pattern recognition. While still in its infancy, quantum computing shows great promise in solving intricate problems in cryptography, logistics, science, and technology, heralding a transformative era in computation.
Licence: creative commons attribution 4.0
Quantum Computing,Qubits, Cryptography.
Paper Title: A review on Impact of AI on Social Media
Author Name(s): Trupti Bansode, Pooja Kannaujiya
Published Paper ID: - IJCRT2401005
Register Paper ID - 248786
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2401005 and DOI :
Author Country : Indian Author, India, 400084 , mumbai, 400084 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2401005 Published Paper PDF: download.php?file=IJCRT2401005 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2401005.pdf
Title: A REVIEW ON IMPACT OF AI ON SOCIAL MEDIA
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 1 | Year: January 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 1
Pages: a34-a39
Year: January 2024
Downloads: 631
E-ISSN Number: 2320-2882
Generally, Today's generation is examined as an age of science, technology, commercial, intelligence, robotics, education and economy which is used in dayto-day life of a human. Many people around the world uses social media in their life to share post, message, information and to make new connections. Basically, social media allows users to communicate with their friends, family, colleagues and to explore new things. Social media provide opportunities for their users as well as organizations to get the large amount of people by understanding the concept of consumer and knowing his/her feelings via feedback towards various brands and products. Also, these organizations as well as people needs to maintain a secure platform to protect their data which will only be achieved by using applications and techniques of artificial intelligence. This research paper aims to examine and discuss the impact of using artificial intelligence applications with their various technologies on social media through the method of critical analysis and estimation that was applied to previous recent studies that assigned with the impact of artificial intelligence on social media. So, the objective of this paper is to discuss how social media is impacted by artificial intelligence in development purposes. This paper based on the relation between AI and Social media and their development, that how to improve their productivity for efficient usage by implementing various technology related to AI and social media.
Licence: creative commons attribution 4.0
artificial intelligence, social media
Paper Title: Augmented Reality Object Recognition And Visualization Using Mobile Phone
Author Name(s): Om Awalekar, Bhavesh Patil, Shruti Deshmukh, Ananya waychal, Suparna Naik
Published Paper ID: - IJCRT2401004
Register Paper ID - 248733
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2401004 and DOI :
Author Country : Indian Author, India, 411043 , pune , 411043 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2401004 Published Paper PDF: download.php?file=IJCRT2401004 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2401004.pdf
Title: AUGMENTED REALITY OBJECT RECOGNITION AND VISUALIZATION USING MOBILE PHONE
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 1 | Year: January 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 1
Pages: a28-a33
Year: January 2024
Downloads: 466
E-ISSN Number: 2320-2882
At the forefront of a technological revolution that will eventually combine the digital and physical domains is modelling for augmented reality (AR). AR modelling has advanced quickly and has a wide range of applications in several industries thanks to the incorporation of computer-generated content into the user's actual surroundings. In an effort to give a concise overview of this game-changing technology, this short assessment examines the origins, uses, difficulties, and potential future developments of AR modelling. As augmented reality (AR) continues to spread throughout many industries, realizing the subtleties of its modelling is crucial to realizing its full potential.
Licence: creative commons attribution 4.0
augmented reality (AR), AR modelling , Virtual Reality (VR), digital and physical domain
Paper Title: An Exegesis Of Natural Law And Man-made Legal Constructs: A Comparative Analysis Utilising Literary Texts And Media Discourses
Author Name(s): Tulip Sadhukhan
Published Paper ID: - IJCRT2401003
Register Paper ID - 248785
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT2401003 and DOI :
Author Country : Indian Author, India, 700123 , Barrackpore, 700123 , | Research Area: Medical Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT2401003 Published Paper PDF: download.php?file=IJCRT2401003 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT2401003.pdf
Title: AN EXEGESIS OF NATURAL LAW AND MAN-MADE LEGAL CONSTRUCTS: A COMPARATIVE ANALYSIS UTILISING LITERARY TEXTS AND MEDIA DISCOURSES
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 1 | Year: January 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Medical Science All
Author type: Indian Author
Pubished in Volume: 12
Issue: 1
Pages: a24-a27
Year: January 2024
Downloads: 503
E-ISSN Number: 2320-2882
The concept of man's will has been paradoxical in the sense that one attempts to escape the consequence of his wrong doings, man-made laws are the just projections of such phenomenon. Comparative analysis between the man-made laws and the natural laws, has been critically studied with the analysis of various texts and films. In the postmodern conditions, media plays a vital role to blur the border between reality and a simulated one. The panoptic society has been associated with the decline of privacy fuelled by the rise of a capitalistic free market. Here the focus of the exploration is on man-made laws which are till date thought to be yardsticks of measuring a person's designation in respect of his/her past and can be studied how it has often led civilization to fail in civilizing man, and alienating him from his fellow beings.
Licence: creative commons attribution 4.0
Nature, Man, Capitalism, Media, Postmodern, Civilisation, Panoptic society.

