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: The Role of Maternity Benefit Act in Advancing Gender Justice in the Workplace
Author Name(s): Rashmi Rekha Phukan
Published Paper ID: - IJCRT24A3155
Register Paper ID - 254481
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A3155 and DOI :
Author Country : Indian Author, India, 781036 , Guwahati/ Kamrup Metro, 781036 , | Research Area: Other area not in list Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A3155 Published Paper PDF: download.php?file=IJCRT24A3155 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A3155.pdf
Title: THE ROLE OF MATERNITY BENEFIT ACT IN ADVANCING GENDER JUSTICE IN THE WORKPLACE
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 3 | Year: March 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Other area not in list
Author type: Indian Author
Pubished in Volume: 12
Issue: 3
Pages: j745-j757
Year: March 2024
Downloads: 332
E-ISSN Number: 2320-2882
Licence: creative commons attribution 4.0
Gender Justice, Maternity Benefit Act, Workplace, Women Employees, Pregnancy, Motherhood, Legislation, Gender Equality, Employment Rights, Legal Provisions.
Paper Title: G-BOT
Author Name(s): Vasupalli Devi, Jammigampula Bharath Kumar, Bandaru Uday Kiran, Tenneti Aditya Teja, Dr. Duvvi Soujanya
Published Paper ID: - IJCRT24A3154
Register Paper ID - 254498
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A3154 and DOI :
Author Country : Indian Author, India, 530017 , Visakhapatnam, 530017 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A3154 Published Paper PDF: download.php?file=IJCRT24A3154 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A3154.pdf
Title: G-BOT
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 3 | Year: March 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 3
Pages: j737-j744
Year: March 2024
Downloads: 328
E-ISSN Number: 2320-2882
G-BOT is a digital assistant chatbot that allows users to access comprehensive details such as courses, fee structures, scholarships, and information related to GITAM University. We integrated the chatbot created in DIALOGFLOW into the GITAM University website, which we developed using HTML, CSS, and JavaScript.
Licence: creative commons attribution 4.0
G-BOT, Chatbot, NLP, DIALOGFLOW, Intents and Entities, and GITAM University website
Paper Title: Arun Sharma's 'Ahar:An Analytical Discussion of the Play
Author Name(s): Samujjal saikia, Bhakti Changmai, Rupjyoti Phukan
Published Paper ID: - IJCRT24A3153
Register Paper ID - 254482
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A3153 and DOI :
Author Country : Indian Author, India, 787110 , Dhemaji, 787110 , | Research Area: Arts1 All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A3153 Published Paper PDF: download.php?file=IJCRT24A3153 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A3153.pdf
Title: ARUN SHARMA'S 'AHAR:AN ANALYTICAL DISCUSSION OF THE PLAY
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 3 | Year: March 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Arts1 All
Author type: Indian Author
Pubished in Volume: 12
Issue: 3
Pages: j732-j736
Year: March 2024
Downloads: 1253
E-ISSN Number: 2320-2882
Arun Sarma is the next most successful and greatest playwright in the theater world of Assam after Jyoti Prasad Agrawal. He made his debut in the Assamese theater with his first play, Urukha Paja (1962). During the sixties, social life in the theater scene of Assam became very turbulent. However, this instability is still somewhat visible. There was a fear that Assamese stage drama would be stuck in the traditional traditions. Arun Sarma, with the help of National Theater School graduate Dulal Roy, took the lead in taking the Assamese theater genre to a new light with a beautiful combination of technique and literary taste on stage. Arun Sharma has left a lasting mark on Assamese dramatic literature with his tireless efforts and new experiments. His plays clearly reflect the tone of modernity. Therefore, the proposed research paper attempts to analytically discuss Arun Sharma's Ahar Drama
Licence: creative commons attribution 4.0
Arun Sarma,Literary Works Ahar Drama ,Character
Paper Title: Solar Powered Credit Based Charging System
Author Name(s): Amith R Kulkarni, Chandan K, Chinmay Subhaschandra Bhat, Supritha S, Dr. Aswathappa P.
Published Paper ID: - IJCRT24A3152
Register Paper ID - 254514
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A3152 and DOI :
Author Country : Indian Author, India, 560004 , Bengaluru, 560004 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A3152 Published Paper PDF: download.php?file=IJCRT24A3152 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A3152.pdf
Title: SOLAR POWERED CREDIT BASED CHARGING SYSTEM
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 3 | Year: March 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 3
Pages: j727-j731
Year: March 2024
Downloads: 268
E-ISSN Number: 2320-2882
A revolutionary paradigm change in the areas of energy conservation and consumption is represented by the Credit-Based Charging System. This creative strategy introduces a credit-based paradigm for charging electronic products, redefining how consumers engage with power networks. In this concept, the grid is powered by solar energy. They purchase credits in exchange, which they can use to charge their electric equipment. This concept not only encourages consumers to actively participate in energy creation and conservation, but it also cultivates a sense of environmental responsibility and sustainability. In addition to increasing the use of renewable energy sources, the Credit-Based Charging System gives people the power to actively participate in creating a more sustainable energy future.
Licence: creative commons attribution 4.0
IoT, Raspberry Pi, Solar energy, Credit system
Paper Title: Examining Facial Expression For Gauging The Extent Of Involvement During Virtual Classes
Author Name(s): LAGUVARAN.N, Dr.D.THILAGAVATHY, DINESH.P, ELAVARASAN.R, HEMANTH.B
Published Paper ID: - IJCRT24A3151
Register Paper ID - 254518
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A3151 and DOI :
Author Country : Indian Author, India, 635109 , HOSUR, 635109 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A3151 Published Paper PDF: download.php?file=IJCRT24A3151 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A3151.pdf
Title: EXAMINING FACIAL EXPRESSION FOR GAUGING THE EXTENT OF INVOLVEMENT DURING VIRTUAL CLASSES
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 3 | Year: March 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 3
Pages: j721-j726
Year: March 2024
Downloads: 312
E-ISSN Number: 2320-2882
In the realm of virtual education, understanding and enhancing student engagement is paramount for effective teaching and learning experiences. This study delves into the application of deep learning methodologies, specifically Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM) algorithms, to analyse facial expressions as indicators of student involvement during virtual classes. Through the utilization of webcams and image processing techniques, facial expressions captured in real-time are fed into RNN and LSTM models trained to recognize patterns indicative of varying degrees of engagement. The study aims to establish a robust framework for quantifying engagement levels based on facial expressions, enabling educators to gain insights into student attentiveness, interest, and comprehension during virtual classes. By leveraging deep learning techniques, which excel in handling complex and dynamic data, this research seeks to overcome the limitations of traditional methods and provide more accurate and actionable assessments of student engagement. this research represents a significant advancement in the use of technology for assessing student engagement in virtual education settings. By integrating deep learning algorithms with facial expression analysis, this study opens new avenues for enhancing the effectiveness and impact of online teaching and learning experiences.
Licence: creative commons attribution 4.0
Deep Learning, Engagement Level, LSTM ,RNN,Django.
Paper Title: Devin AI Copilot: The Impact Of Artificial Intelligence In Software Development
Author Name(s): AnilKumar B, Miza K Das, Rithik Ravi, Sachin Tom Mathew
Published Paper ID: - IJCRT24A3150
Register Paper ID - 254524
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A3150 and DOI :
Author Country : Indian Author, India, 678631 , palakkad, 678631 , | Research Area: Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A3150 Published Paper PDF: download.php?file=IJCRT24A3150 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A3150.pdf
Title: DEVIN AI COPILOT: THE IMPACT OF ARTIFICIAL INTELLIGENCE IN SOFTWARE DEVELOPMENT
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 3 | Year: March 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science All
Author type: Indian Author
Pubished in Volume: 12
Issue: 3
Pages: j716-j720
Year: March 2024
Downloads: 327
E-ISSN Number: 2320-2882
The arena of technology it's a day by day developing sector where improvisation are found in every second at the latest artificial intelligence which can be called as the Revaluation of the century this revaluation is causing major changes through all the known sectors of human kind. The most recent development in the ai field was Devin. Devin Al, an interactive Al-based software, is re-defining many expectations in the software sector. Being popular as the world 's first artificial intelligence software engineer, Devin has the ability to write codes, design websites, and it can self-learn during its experiences to be able to make its performance better and better. This truly disruptive technology has the capability to significantly affect the shape of the software development industry as we know it by draw us into the new period of higher efficiency, faster innovation and more accessibility. Through Devin Al, automating repetitive tasks not only facilitates quicker development cycles but also contributes towards achieving the desired project or business outcomes in a shorter time frame Al automatic processing of routine programming tasks makes way for developer's role streamlining which in turn results to shorter development cycle if not more efficient ones. lt can also be desirable in an overcrowded market as a quick time-to-market (customer space) is one of the keys to success, Deliver faster products usually bring an important company advantage, which allows the company to get ahead of competitors.
Licence: creative commons attribution 4.0
Devin AI, software development, automation, innovation, ethical AI, responsible AI, collaboration
Paper Title: Advanced Threat Intelligence Through the Implementation of Explainable AI(XAI)
Author Name(s): AnilKumar B, Rizaal p m, Adithya R, Algin M shabu, Deepu A
Published Paper ID: - IJCRT24A3149
Register Paper ID - 254540
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A3149 and DOI :
Author Country : Indian Author, India, 678631 , palakkad, 678631 , | Research Area: Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A3149 Published Paper PDF: download.php?file=IJCRT24A3149 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A3149.pdf
Title: ADVANCED THREAT INTELLIGENCE THROUGH THE IMPLEMENTATION OF EXPLAINABLE AI(XAI)
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 3 | Year: March 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science All
Author type: Indian Author
Pubished in Volume: 12
Issue: 3
Pages: j711-j715
Year: March 2024
Downloads: 297
E-ISSN Number: 2320-2882
The field of cybersecurity is always changing because threat actors are developing more advanced methods. As a result, incorporating artificial intelligence (AI) has become essential for strengthening defenses. However, effective threat mitigation measures are hampered by the typical AI models' "black- box" character, which makes it difficult to understand their decision-making processes. This abstract explores the necessity of using Explainable AI (XAI) to threat intelligence advancement, clarifying its importance, approaches, difficulties, and potential applications. Explainable AI's deployment represents a shift in perspective, in threat intelligence advancement, empowering stakeholders to effectively and confidently traverse the intricate cybersecurity landscape. XAI enables cybersecurity experts to decipher the complexities of AI-driven insights and create focused response plans that mitigate emerging threats by promoting openness, trust, and interpretability. The use of XAI is anticipated to be crucial in creating threat intelligence going ahead protecting digital assets, and strengthening defenses against evolving cyberthreats as the cybersecurity landscape advances.
Licence: creative commons attribution 4.0
explainable AI, cyber security, threat mitigation,black box models, incident response, ethical considerations, SOC
Paper Title: Interrogating Power, Ideology, and Social Dynamics: A Marxist Analysis of Rajkumar Hirani's Select Cinemas
Author Name(s): Susmita Rajkhowa
Published Paper ID: - IJCRT24A3148
Register Paper ID - 254527
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A3148 and DOI :
Author Country : Indian Author, India, 785640 , Sivasagar, 785640 , | Research Area: Medical Science All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A3148 Published Paper PDF: download.php?file=IJCRT24A3148 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A3148.pdf
Title: INTERROGATING POWER, IDEOLOGY, AND SOCIAL DYNAMICS: A MARXIST ANALYSIS OF RAJKUMAR HIRANI'S SELECT CINEMAS
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 3 | Year: March 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Medical Science All
Author type: Indian Author
Pubished in Volume: 12
Issue: 3
Pages: j707-j710
Year: March 2024
Downloads: 404
E-ISSN Number: 2320-2882
Rajkumar Hirani's cinematic universe stands as a testament to the potential of cinema to not only entertain but also challenge societal norms and power structures. Through a Marxist analytical lens, this research paper delves into Hirani's films, with special reference to 3 idiots, PK, Munna Bhai MBBS, and Sanju to unearth the intricate interplay of power, ideology, and social dynamics within contemporary Indian society. Drawing upon Marxist concepts of power dynamics and class struggle, this study aims to uncover how Hirani's narratives expose the contradictions and injustices inherent in capitalist systems while offering glimpses of resistance and social transformation. By examining the portrayal of characters negotiating their identities, confronting institutional authority, and challenging dominant ideologies, this paper seeks to illuminate the socio-political implications of Hirani's cinematic interventions. Ultimately, this research contributes to a deeper understanding of the role of popular culture in interrogating power structures and envisioning alternative futures.
Licence: creative commons attribution 4.0
Power, ideology, social dynamics, class struggle, cultural hegemony, resistance, popular culture.
Paper Title: Hkkjr esa ekuo fodkl ,oa tukafddh; ykHkka'k
Author Name(s): ?? ????? ????
Published Paper ID: - IJCRT24A3147
Register Paper ID - 254528
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A3147 and DOI :
Author Country : Indian Author, India, 485001 , satna, 485001 , | Research Area: Arts1 All Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A3147 Published Paper PDF: download.php?file=IJCRT24A3147 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A3147.pdf
Title: HKKJR ESA EKUO FODKL ,OA TUKAFDDH; YKHKKA'K
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 3 | Year: March 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Arts1 All
Author type: Indian Author
Pubished in Volume: 12
Issue: 3
Pages: j702-j706
Year: March 2024
Downloads: 349
E-ISSN Number: 2320-2882
???? ?? ??? ?? ???? ???????? ?? ??? ?? ???????????? ?? ???? ??? ???? ??? ????????? ??? ???? (15 ???? ?? 64 ????) ??? ?????? ?????? ?? ??? ??? ?? ??????? ??? 68 ??????? ??? ???????????? ??? ???????? ?????? (???????????? ?????????) ?? ?????? ?? ??? ???? ???? ????????? ?????? ?? ?? ?? ???????? ??? ?? ???? ?,? ?? ????????? ???????? ???????, ?????? ? ???? ??? ????? ?????? ??? ?? ???? ????? ;?????? ??????????????? ??? ???? ???? ???? ?????? 134??? ?????? ?? ?????? ???? ????????, ??? ???? ????????? ??????? ?? ?? ???? ????? ??? ???? ??? ???? ??? ???????? ??? ???? ??? ???? ?????, ????????? ?????? ??? ?? ??? ??? ???? ?? ?????? ???? ??? ???
Licence: creative commons attribution 4.0
???? ?????, ???? ????? ???????;?????? ????????, ???? ?????????, ???????????? ??, ???????? ???????
Paper Title: Road Lane Line Detection Using Deep Learning
Author Name(s): Sarabjot Kohli, Jiya Joshi, Pranav Deshpande, Yash Pawar, Shivam Shendre
Published Paper ID: - IJCRT24A3146
Register Paper ID - 254554
Publisher Journal Name: IJPUBLICATION, IJCRT
DOI Member ID: 10.6084/m9.doi.one.IJCRT24A3146 and DOI :
Author Country : Indian Author, India, 431001 , Aurangabad, 431001 , | Research Area: Science and Technology Published Paper URL: http://ijcrt.org/viewfull.php?&p_id=IJCRT24A3146 Published Paper PDF: download.php?file=IJCRT24A3146 Published Paper PDF: http://www.ijcrt.org/papers/IJCRT24A3146.pdf
Title: ROAD LANE LINE DETECTION USING DEEP LEARNING
DOI (Digital Object Identifier) :
Pubished in Volume: 12 | Issue: 3 | Year: March 2024
Publisher Name : IJCRT | www.ijcrt.org | ISSN : 2320-2882
Subject Area: Science and Technology
Author type: Indian Author
Pubished in Volume: 12
Issue: 3
Pages: j695-j701
Year: March 2024
Downloads: 316
E-ISSN Number: 2320-2882
Road lane-line detection is pivotal for autonomous driving systems and advanced driver-assistance systems (ADAS). However, in complex traffic scenes, challenges like shadows, road blurriness, and sparse markings hinder accurate detection and real-time performance. This project addresses these issues by implementing a lane-line detection algorithm using Python and OpenCV. The algorithm enhances detection by preprocessing images, employing techniques like color thresholding and edge detection, and utilizing Hough transform for lane boundary identification. It provides a comprehensive guide covering image processing, computer vision, and OpenCV, along with strategies to overcome challenges. Moreover, it introduces a multi-stage algorithm incorporating preprocessing, feature extraction, instance segmentation for precise lane delineation, and post-processing for refined results. Through experimentation, this approach demonstrates superior performance, ensuring reliable lane detection across diverse road conditions and environments, thereby contributing to the advancement of autonomous driving technology.
Licence: creative commons attribution 4.0
Lane Detection, Computer Vision, Canny Edge Detection, Gaussian Blur, Region of Interest, Hough Transform, open CV, ADAS, Intersection over Union (IoU) or Mean Average Precision (MAP).

