Volume 13 | Issue 9 |

 Abstract

In today's volatile financial markets, technology-driven decision-making is becoming increasingly important. Traditional trading platforms often lack personalization, predictive intelligence, and seamless integration with modern technologies. This research paper presents the design and implementation of a modern trading platform that integrates a MongoDB database, machine learning (ML) models in Python, and a full-stack web architecture using React and Node.js. The system is designed to connect with live stock market APIs, process financial data in real time, and generate intelligent predictions that guide users in making trading decisions. The platform includes user authentication, portfolio management, risk assessment, and ML-based stock movement prediction. In addition, modern UI/UX design principles are adopted to ensure a responsive and attractive frontend. The system is unique because it combines real-time financial data, cloud-ready backend architecture, and machine learning services, which makes it both scalable and adaptable. Experimental results demonstrate the system's capability to provide fast, accurate, and user-friendly insights compared to existing solutions. This paper provides a comprehensive analysis of architecture, methodology, implementation, results, and future enhancements.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Trading Platform, Machine Learning, MongoDB, React, Node.js, FastAPI, Stock Market Prediction, FinTech

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A study of the constitutional and legal provisions of child labour in India.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

A study of the constitutional and legal provisions of child labour in India.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This review offers a holistic view of spousal homicides in India by integrating the available literature, official documents, and policy reviews to offer multidimensional solutions to this serious social problem. It is a systematic review of the trends, causation, and legal intervention against a domestic homicide of a spouse in India between 2010 and 2025, which indicates the apathetic character of intimate partner violence that leads to fatal consequences. According to the availability of the national crime statistics, academic sources, and the legislative acts such as the IPC Section 498A, the Dowry Prohibition Act and the Protection of Women against Domestic Violence Act, the given study identifies such significant reasons of spousal murders as dowry-related conflicts, domestic violence, financial problems, and social pressure. The review emphasizes the persistence of female victimization in the marital setting, yet also offers a shifting image of male victims, and the pressing need of more gender-neutral and inclusive legal safeguards.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Spousal homicide, domestic violence, intimate partner violence, dowry-related violence, IPC Section 498A, "Protection of Women from Domestic Violence Act", gender-neutral laws, India, legal reforms, victim protection.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Discrimination against marginalized communities increases day by day, and countries are taking steps to address the same by modifying their policies in social, economic, and legal frameworks. Marginalized communities are excluded from mainstream socio, economic, political, educational, or cultural life. Women, people with disabilities, scheduled castes (Dalit), scheduled tribes, elderly or aged people, children, and sexual minorities are often marginalized from the mainstream social order. The Government and other agencies have been conducted many research and inclusive activities to adopt marginalized communities into the mainstream. This paper attempts to review studies related to the inclusion and inclusion policies of transgender communities around the globe--the review analyses transgender studies based on social, economic, and legal frameworks. The study concludes that discrimination against transgender communities still exists in many parts of the world.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Transgender, Inclusion, Exclusion, Marginal Community, LGBT,

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research paper analyzes the profound and multifaceted perspectives of the Indian knowledge tradition in the context of global challenges related to sustainability and environmental health. The paper highlights the limitations of the modern consumption-based Western development model and demonstrates how Indian philosophical and religious values can offer sustainable solutions to these challenges. Philosophically, the concept of E??v?syamida? Sarvam in Advaita Vedanta establishes the unity between nature and humans, while the Samkhya philosophy emphasizes balance between the individual and nature. The principles of Ahimsa (non-violence) and Asteya (non-stealing) in Yoga philosophy teach the mindful use of resources and instill compassion for all living beings. On the religious front, the Vedas establish the tradition of revering the five elements (Panchamahabhutas) and the Earth as a mother. Jainism's principle of Ahimsa and Buddhism's concept of Karuna (compassion) and Prat?tyasamutp?da (dependent origination) reflect respect for all life and the environmental consequences of actions. This research concludes that the holistic, ecology-centered perspective of the Indian knowledge tradition, grounded in deep interconnection between humanity, nature, and spirituality, provides essential guidance for a sustainable and harmonious future.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Indian Knowledge Tradition, Sustainability, Environmental Health, Advaita Vedanta, Samkhya Philosophy, Yoga, Ahimsa, Jainism, Buddhism, E??v?syamida? Sarvam, Ecological Ethics, Nature Conservation

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Threshold SEO techniques operate at the edge of acceptable search engine practices, leveraging methods that blur the line between ethical optimization and manipulative tactics. These techniques aim to achieve quick ranking gains without immediately triggering penalties, but their sustainability and ethical implications remain contentious. This research examines the impact of threshold SEO on search engine credibility, website rankings, and the broader digital marketing ecosystem. By analysing search engine guidelines, real-world case studies, and the evolution of algorithms, the study highlights the short-term benefits, long-term risks, and potential influence on industry practices. The findings provide insights into balancing competitive SEO strategies with ethical considerations, offering recommendations for sustainable optimization approaches.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Threshold SEO | Ethical SEO | Manipulative SEO techniques | Search engine optimization strategies | Gray hat SEO | Black hat SEO | White hat SEO | Digital marketing practices | SEO guidelines | Search engine penalties

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Fishery sector is an important source of income to a large number of rural population of Assam and it is also a vital source of revenue for the state economy. Assam is blessed with sufficient water resources comprising rivers, beels derelict water bodies, reservoirs and pond/ tank. This study focuses Fishery resources of Baska District, contribution of Baksa District Fisheries to the Assam economy. It also highlights problems of fisheries of Baksa District and some remedial measures to solve the problems.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fishery sector, Fishery Resources, Problems of Fishery sector.

  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

Epidural analgesia, Labour pain, Structured teaching program, Antenatal women, Knowledge.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper examines the application of Unreal Engine in developing virtual reality (VR) educational games for visualizing complex systems, such as cosmic phenomena, high-energy physics detectors, and scientific simulations. By leveraging Unreal Engine's real-time rendering, Blueprint scripting, and VR capabilities, educators can create immersive experiences that enhance learning outcomes. The study reviews benefits including increased engagement and accessibility, provides examples from real-world projects, and discusses implementation strategies. Challenges like integration with scientific data and development complexity are addressed, concluding with recommendations for future educational game design.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Virtual Reality, Unreal Engine, Educational Games, Complex Systems Visualization, Immersive Learning, Simulation-based Education

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present paper develops a novel application of Bott-Chern cohomology, a twister of complex differential geometry, to formulate and optimize software update cascades on Internet of Things (IoT) networks, which serves as their security. IoT environments feature heterogeneous resource-constrained devices that are extremely vulnerable to cyber threats when software updates are not manufactured or are distorted in time. He states that light-touch dependencies and topological bottlenecks that may interfere with update propagation and cause systemic vulnerability are often ignored by traditional modeling techniques, such as graph-theoretic approaches. By encapsulating IoT networks as complex manifolds and modeling software updates and device dependencies using Bott-Chern cohomology classes, we formally identify inconsistencies, determine cascade failures, and assess the optimal update sequence in this research. Simulations show that our proposed cohomology-informed model outperforms the conventional techniques by achieving higher update success rates with fewer latency and greater resiliency to the adversarial attacks. The research emphasizes the use of cutting-edge mathematical tools in understanding critical cybersecurity problems in large-scale dynamically interacting IoT systems.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Bott-Chern cohomology, IoT security, software update cascades, network modeling, cybersecurity, complex manifolds

  License

Creative Commons Attribution 4.0 and The Open Definition