Volume 13 | Issue 12 |

 Abstract

This study examines the evolving role of women artists in vulnerable art forms across India, with a special focus on the Patachitra tradition of West Bengal. Long rooted in patriarchal structures, Patachitra has undergone a transformative shift as women from marginalized communities step forward as artists, storytellers, and cultural ambassadors. These women are reshaping Patachitra into a tool for education, social advocacy, and economic empowerment, ensuring its preservation and evolution in a rapidly changing cultural landscape. The integration of Patachitra into Art Integrated Learning (AIL) frameworks has been a significant catalyst for this transformation. Supported by initiatives like Bangla Natok dot com's "Art for Life," women artists are leveraging this art form to address contemporary themes such as gender equality, health awareness, and sustainable development. The digitization of Patachitra into graphic novels, brochures, and multimedia platforms has expanded its reach and relevance, transitioning it from mythological storytelling to a medium for addressing critical social issues. These initiatives have elevated women artists as "change-makers," enabling them to become community leaders and advocates for social transformation. Their work has been showcased on global platforms, connecting traditional art with contemporary educational and social initiatives. These efforts have shifted the focus of the art from mythology to contemporary societal issues, amplifying its impact as a medium of education and advocacy. By blending ethnographic research with project outcomes, the study underscores the dual impact of these developments: the revitalization of endangered art forms and the empowerment of women as cultural and social pioneers. It emphasizes the critical role women play in preserving and modernizing traditional art, fostering a sustainable future where cultural heritage and gender equality coexist, and redefining the trajectory of vulnerable art forms in India. Keywords: vulnerable art, social advocacy, gender, Patachitra Title: Women Artists and the Revitalization of Patachitra: Gender, Pedagogy, and Cultural Sustainability in Bengal Abstract: This paper investigates the evolving role of women artists in the revitalization of Patachitra, the scroll painting tradition of West Bengal. Once sustained within patriarchal structures, the practice is now being reshaped by women from marginalized communities who function as artists, educators, and agents of advocacy. Their participation has redirected the art form from its conventional focus on mythological narratives to socially engaged themes, making it relevant to present-day contexts. Drawing on ethnographic evidence and case studies, including Bangla Natok dot com's Art for Life, the study demonstrates how women artists employ Patachitra as a communicative and pedagogical tool. Scrolls and performance are increasingly used to address issues such as gender equity, environmental sustainability, public health, and community rights. The incorporation of Patachitra into Art-Integrated Learning (AIL), aligned with India's National Education Policy (NEP) 2020, further situates the art within formal education. Here, it strengthens interdisciplinary teaching, fosters narrative thinking, and deepens cultural awareness among learners. The digitization of Patachitra into graphic novels, brochures, and multimedia formats expands both its reach and its adaptability. These processes illustrate a dual outcome: the safeguarding of a vulnerable art form and the redefinition of women's cultural roles. Women artists emerge not only as custodians of tradition but also as participants in broader frameworks of education and social advocacy. By situating women at the center of this transformation, the study highlights a sustainable model of cultural preservation that integrates folk art into contemporary pedagogical and social practice. The analysis contributes to discussions on gender, intangible heritage, and the intersections of traditional knowledge with modern educational reforms.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Patachitra, Women Artists, Art-Integrated Learning, Folk Art Education, Gender and Culture, Social Advocacy, Cultural Sustainability

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project presents a real-time surveillance framework designed to detect humans, suspicious objects, and unattended baggage using advanced deep-learning techniques. The system integrates YOLOv8 for object detection along with a custom logic-based behavior engine to identify high-risk scenarios such as abandoned bags, loitering, and restricted area violations. The proposed method enhances the accuracy of automated surveillance by introducing an Owner Association algorithm, which links objects to nearby humans to prevent false alerts. The implementation also includes a Flask-based web interface enabling real-time monitoring, event alerts, and user-defined danger zones. The results demonstrate improved detection reliability, decreased false alarms, and real-time performance suitable for security-critical environments.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

YOLOv8, Surveillance System, Object Tracking, Unattended Object Detection, Loitering Detection, Flask.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

It is increasingly being recognized that indoor air quality has an impact on human health. The increasingly serious indoor air pollution caused by PM, VC, and CO in recent years has attracted plenty of attention, which the world had not known before because of the politics, industry, and network caused by the urbanization development and industrialization. A statistical method to predict IAQ has been developed in this work, and an easy-to-use website-based framework, including the statistical model, was implemented. The system can provide air quality predictions from one to seven days in advance by integrating statistical forecasting methods with a stable IAQI calculation process. A flexible pipeline for data processing that supports different CSV-based inputs constitutes the basis of the approach. It is based on statistical forecasting with residual correction, scaling of pollutants, and calculation of the IAQI according to the Central Pollution Control Board (CPCB). The predictions are subsequently served to the users via a modern Flask application, enabling dataset uploads and visualisation of both numerical and categorical predictions. The system is an economical instrument that transforms statistical modeling information into a helpful decision-making framework for a policymaker with an emphasis on accessibility, reproducibility, and application.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IAQI, website-based framework, Flask application, statistical forecasting, indoor air quality

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study examines user engagement patterns on Instagram and LinkedIn by analyzing secondary data from past campaigns and publicly available platform insights. It explores how different content formats, caption styles, hashtags, and posting behavior influence audience interaction across both platforms. Through descriptive analysis and social listening tools, the research identifies trends in engagement and highlights which digital strategies generate the strongest responses. The findings offer practical guidance for improving content performance and designing more effective social media campaigns.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Index Terms - Component, formatting, style, styling, insert.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

?????? ???????? ??? ???????? ???? ????????? ???????? ?? ?????? ????, ????? ?? ??? ????? ????? ?? ???? ?????? ?? ???????? ?? ???? ???? ??? ??? ?????? ???????? ?????? ??? ???????? ?? ????, ????, ????????, ??????? ???????? ?? ?????????? ????? ?? ?????? ???? ??? ??? ???????-??????? ?? ???? ???? ?? ????? ?? ?????????? ??????? ????? ??? ??????? ??????? ?? ??? ?????????? ??????? ?? ???? ?????? ????? ??? ?? ???????? ?? ???? ??? ???? ????????? ?????? ?????????? ??????? ??????? ?????? ????????-????? ?? ??????????? ?????? ??? ???? 29 ???? ???????, ???-??????, ??, ????, ???? ?? ??????? ???????????? ?? ???????? ?? ????? ?? ?????? ???? ?? ???-???? ?????? ????????-?????? ?? ????????, ?????????? ?? ????????? ???????? ???? ?? ??? ???? ????????? ?? ?????????? ??????? ?? ?????? ?????? ??? ???????? ???????? ???? ???

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

?????? ????????-?????, ???? ?????????, ??????? ???????, ???-?????, ?????-???????, ??????? ????, ?????? ????????????, ???? ?? ???????, ???????? ????????

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Geopolymer concrete, Normal weight geopolymer, Mix design optimization, Geopolymer mortar

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Artificial Intelligence (AI) has emerged as a revolutionary tool in various industries, including the sugar industry of Bihar. With its ability to analyse large amounts of data, AI has proved to be a game-changer in enhancing processes and improving productivity. In this abstract, we will explore the role of AI in boosting industrial relations within the sugar industry of Bihar. One major challenge faced by the sugar industry is maintaining good relationships between management and workers. Due to complex regulations and volatile market conditions, disputes often arise between labour unions and management, leading to disruptions in production and financial losses. However, with advancements in AI technology, these issues can be effectively addressed.AI-powered tools such as chatbots have been implemented for real-time communication between employees and management. This has improved transparency and reduced misunderstandings between parties. Moreover, predictive algorithms have helped identify potential sources of conflicts before they escalate into larger problems. Furthermore, AI has also played a crucial role in workforce management. By analysing data on employee performance and workload patterns, companies are able to make informed decisions regarding job assignments and shift schedules without any bias or favoritism. In addition to enhancing industrial relations internally, AI has also greatly benefited external communications with stakeholders such as regulatory bodies and government agencies.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence (AI), Digital Transformation, Sugar Industry, Industrial Relations, Productivity, Businesses and Competitive.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The India-China border dispute remains one of Asia's most complex and enduring geopolitical conflicts, rooted in colonial-era cartographic ambiguity and compounded by strategic mistrust. This paper explores the historical trajectory of the conflict, focusing on the contested regions of Aksai Chin and Arunachal Pradesh, and key milestones such as the Panchsheel Agreement and the 1962 war. By examining both historical and contemporary triggers--including the Doklam standoff in 2017 and the Galwan Valley clash in 2020--the study investigates how territorial claims, national identity, and strategic infrastructure development have shaped the enduring rivalry. Using a qualitative methodology grounded in Realist and Constructivist theories of international relations, the analysis highlights the political, economic, and regional security consequences of the dispute. The findings reveal that while diplomatic engagements have prevented full-scale war, the unresolved Line of Actual Control continues to serve as a flashpoint with serious implications for Indo-Pacific stability.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

India-China conflict, Aksai Chin, Arunachal Pradesh, Sino-Indian War, Galwan, Doklam, Line of Actual Control, geopolitics, border dispute

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Enterprise Resource Planning (ERP) systems have become central to digital transformation initiatives across public sector organizations in India. While private enterprises adopted ERP relatively early, public utilities--particularly in the power sector--have been slower due to procedural, financial, and structural constraints. In Madhya Pradesh, power distribution and generation companies have begun implementing ERP to improve transparency, efficiency and decision-making. This review paper synthesises existing published research to understand how ERP adoption has influenced HR processes, organizational coordination, and digital work culture in these organizations. The review draws from peer-reviewed journal articles, reports, and studies available in the public domain, ensuring only authentic and verifiable sources are used. The analysis indicates that ERP implementation has supported better data accuracy, reduced duplication of work, increased transparency, and created opportunities for skill development among employees. However, challenges such as resistance to technology, training gaps, and adaptation delays remain consistent themes across studies. The results also indicate that change management and leadership commitment significantly influence adoption success. Based on the review, research gaps related to long-term performance outcomes, behavioural change analysis and employee digital readiness are identified. The study concludes that although progress is visible, ERP adoption in Madhya Pradesh's public power utilities is still evolving and requires continuous capacity-building efforts to fully realize its potential.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ERP Systems, Digital Transformation, Public Utilities, Madhya Pradesh, HR Transformation, Power Sector, Technology Adoption

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The modern electrical grid demands high reliability, stability, and real-time monitoring to prevent failures that can lead to blackouts, equipme damage, and economic loss. This project presents an loT-based smart grid fault detecti 2/7 system that collects real-time parameters such as voltage, current, temperature, and humidity using the ESP32 microcontroller. These readings are continuously transmitted to a Flask-based web application, which integrates a machine learning model trained to distinguish normal and faulty grid conditions. The model analyzes live sensor data to identify anomalies such as voltage drops, current deviations, overheating, or environmental instability. The system provides instant visualization through a dashboard and generates alerts for preventive maintenance. This low-cost, scalable solution improves grid safety, enhances predictive fault identification, and supports real-time decision-making in smart power networks. Keywords: Smart Grid, loT, ESP32, Machine Learning, Fault Detection, Anomaly Detection, Flask, Power Monitoring.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fault deduction, power system, power grid, cyber security,

  License

Creative Commons Attribution 4.0 and The Open Definition