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Volume 12 | Issue 3 |

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  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

  Your Paper Publication Details:

  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: 330

  E-ISSN Number: 2320-2882

 Abstract


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 Keywords

Gender Justice, Maternity Benefit Act, Workplace, Women Employees, Pregnancy, Motherhood, Legislation, Gender Equality, Employment Rights, Legal Provisions.

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Creative Commons Attribution 4.0 and The Open Definition


  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

  Your Paper Publication Details:

  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: 327

  E-ISSN Number: 2320-2882

 Abstract

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.


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 Keywords

G-BOT, Chatbot, NLP, DIALOGFLOW, Intents and Entities, and GITAM University website

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Creative Commons Attribution 4.0 and The Open Definition


  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

  Your Paper Publication Details:

  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: 1252

  E-ISSN Number: 2320-2882

 Abstract

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


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 Keywords

Arun Sarma,Literary Works Ahar Drama ,Character

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  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

  Your Paper Publication Details:

  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: 266

  E-ISSN Number: 2320-2882

 Abstract

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.


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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IoT, Raspberry Pi, Solar energy, Credit system

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Creative Commons Attribution 4.0 and The Open Definition


  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

  Your Paper Publication Details:

  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

 Abstract

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.


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 Keywords

Deep Learning, Engagement Level, LSTM ,RNN,Django.

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Creative Commons Attribution 4.0 and The Open Definition


  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

  Your Paper Publication Details:

  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

 Abstract

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.


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 Keywords

Devin AI, software development, automation, innovation, ethical AI, responsible AI, collaboration

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  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

  Your Paper Publication Details:

  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: 295

  E-ISSN Number: 2320-2882

 Abstract

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.


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 Keywords

explainable AI, cyber security, threat mitigation,black box models, incident response, ethical considerations, SOC

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Creative Commons Attribution 4.0 and The Open Definition


  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

  Your Paper Publication Details:

  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: 402

  E-ISSN Number: 2320-2882

 Abstract

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.


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 Keywords

Power, ideology, social dynamics, class struggle, cultural hegemony, resistance, popular culture.

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Creative Commons Attribution 4.0 and The Open Definition


  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

  Your Paper Publication Details:

  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

 Abstract

???? ?? ??? ?? ???? ???????? ?? ??? ?? ???????????? ?? ???? ??? ???? ??? ????????? ??? ???? (15 ???? ?? 64 ????) ??? ?????? ?????? ?? ??? ??? ?? ??????? ??? 68 ??????? ??? ???????????? ??? ???????? ?????? (???????????? ?????????) ?? ?????? ?? ??? ???? ???? ????????? ?????? ?? ?? ?? ???????? ??? ?? ???? ?,? ?? ????????? ???????? ???????, ?????? ? ???? ??? ????? ?????? ??? ?? ???? ????? ;?????? ??????????????? ??? ???? ???? ???? ?????? 134??? ?????? ?? ?????? ???? ????????, ??? ???? ????????? ??????? ?? ?? ???? ????? ??? ???? ??? ???? ??? ???????? ??? ???? ??? ???? ?????, ????????? ?????? ??? ?? ??? ??? ???? ?? ?????? ???? ??? ???


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???? ?????, ???? ????? ???????;?????? ????????, ???? ?????????, ???????????? ??, ???????? ???????

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  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

  Your Paper Publication Details:

  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

 Abstract

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.


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 Keywords

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).

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