Volume 13 | Issue 6 |

 Abstract

The research paper will explore the multiple impacts of globalisation on the IT Sector in India. The paper will highlight the effects of economic integration on global economic growth in one of the most dynamic industries in the developing world. The study will investigate how employment patterns, technological advancements and the rise of India as a global hub for IT services are influenced by analysing the key reforms, liberalisation of the Indian economy, science 1990s economic reforms, and institutional support. This paper will examine the role of international partnership, trends in outsourcing, innovations in domestic policy innovations in developing the competitiveness of IT firms globally by using qualitative and quantitative data. Alongside the significant economic gains and employment opportunities, the paper also addresses the challenges of skill mismatch, over-dependence on foreign markets, regional and ethical disparities. Through a focus case study of India, this research paper will analyse how globalisation leverages the developing economies to encourage growth and innovation in knowledge-based sectors, along with navigating the socio-economic risks involved. The significance of the adaptive policy framework and institutional resilience in maximising the benefits of globalisation in the digital world will be included in the findings.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Globalisation, Indian IT sector, economic liberalisation, institutional reforms, outsourcing, employment trends, technological innovation, developing economies

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project focuses on building a robotic arm that uses air-powered (pneumatic) cylinders to move, similar to how a human arm works. It can lift, rotate, and place objects with several different types of movement. Pneumatic actuators were chosen because they're simple, affordable, and powerful for their size.The arm is controlled by solenoid valves and a microcontroller, which allow for quick and adjustable movements. One of the key benefits of using air-powered systems is that they work cleanly and respond quickly, making them ideal for automation. However, there are some challenges, such as the complexity of controlling air pressure and the need for a constant supply of compressed air.This kind of robotic arm is useful in areas like factory automation, material handling, and educational demonstrations. Overall, the project shows that pneumatic robotic arms can be a good alternative to electric ones, especially for fast and repetitive tasks that don't require extreme precision.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Pneumatic actuator, Robotic arm, Automation, Industrial robotics, Solenoid valves, Compressed air, Microcontroller, Mechatronics, Motion control, Material handling.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The "Farming Robot with Plant Health Indication" project introduces a next-generation farming assistant that blends robotics, AI, and IoT to support smarter agriculture. Designed for mobility and precision, the robot is built on a compact acrylic frame and powered by 18650 battery cells, with a custom-designed PCB ensuring stable power management. At the heart of the system lies a Raspberry Pi Pico W, steering the robot via an L298N motor driver and coordinating various sensor inputs. To monitor field conditions, the robot is equipped with soil moisture and temperature sensors, alongside an ESP32-CAM that captures live visuals of plants. These visuals and sensor readings are sent in real time to Firebase Realtime Database and Cloud Storage. The companion Android app accesses this data and employs machine learning models to evaluate plant health, identify early signs of disease, and provide timely suggestions for corrective action.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Farming Robot, Plant Health Indication, Raspberry Pi Pico W, ESP32-CAM, L298N Motor Driver, Android App

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In order to handle both techno-economic and environmental factors, this study presents an innovative energy management algorithm for a hybrid solar and fuel cell-based electric vehicle charging station (EVCS). In order to optimize real-time charging prices and improve renewable energy consumption, the current approach, which is intended for a 20- kW EVCS, makes use of a fuzzy inference system within MATLAB SIMULINK to manage power generation, electric vehicle (EV) power demand, and charging periods. Nevertheless, production instability could be a problem for this strategy. By replacing the fuzzy controller with an artificial neural network (ANN) controller, the suggested approach resolves this problem. Findings show that, in comparison to current flat rate tariffs, the ANN-based algorithm not only offers more steady outputs but also lowers energy costs, making it more affordable to charge for both weekdays and weekends. Furthermore, integrating renewable energy sources with hybrid technology greatly reduces greenhouse gas emissions. Due to the charging station owners' comparatively short payback periods, the idea is both environmentally friendly and financially feasible.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Modified PR controller, Dual Mode Operation, Power Quality, ANN, Micro grid.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Michael Madhusudan Dutt is a luminous figure in the firmament of Bengali literature. His notable creation, 'Meghnadbadh Kavya', was composed in 1861. The work is regarded as an epic. Although inspired by the narrative of the Sanskrit epic 'Ramayana' by Valmiki, its perspective is entirely unconventional. In a radical shift, the protagonist of this epic is Meghnad, the son of Ravana. The central theme of the poem revolves around Meghnad being treacherously slain by Lakshmana while he is unarmed and performing a yajna at Nikumbhila Yanjagar. Over time, 'Meghnadbadh Kavya' has been adapted into theatrical performances in various forms. Renowned theatre personality Gautam Halder has brought a novel approach to the stage adaptation of this epic. In his production, he performed solo, assuming the dual role of actor and narrator. Through a seamless blend of acting, music, dance, and instrumental accompaniment, he created a unique atmosphere on stage. Choreography emerged as a vital component of this production. The primary objective of this research paper is to examine how choreography has been employed in the staging of 'Meghnadbadh Kavya' and how it functions as a bridge between the director, the performer, and the audience.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Choreography, Michael Madhusudan Dutt, Meghnadbadh Kavya

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Water is the most crucial resource of life and it is necessary for the survival of all living creatures including human beings. The survival of business and agriculture depends on fresh water. An essential step in managing freshwater assets is the evaluation of the quality of the water. Before using water for anything, including drinking, chemical spraying (pesticides, etc.),or animal hydration , it is crucial to assess its purity. The ecosystem and the general public's health are directly impacted by water quality. Therefore, analyzing and predicting water quality is necessary for both environment and human protection. Machine learning can be used to analyze and predict the water quality based on the parameters like PH value, turbidity, hardness, conductivity, dissolved solids in water and others parameters as input to machine learning algorithms and the water is classified as safe or unsafe for the usage of domestic purposes. The Flask applications predicts water quality safety using an XG Boost classifier trained on a dataset (waterQuality1.csv). The dataset undergoes preprocessing where missing values are dropped and object type columns are converted to numeric types. Categorical target variables are encoded for machine learning compatibility. The model is trained on the processed data, evaluated for accuracy, and then used to predict the safest status ("Safe" or "Not Safe")based on user-inputted water quality parameters. Predicted results are displayed ton users on a web page rendered using Flask (predictdailyhousehold.html).The proposed work uses various ML models such as Logistic Regression, Support Vector Machine (SVM), XG Boost(XG) and Random Forest(RF) to classify whether the water is drinkable. The XG boost classifier is selected for the explanation and yields optimum Accuracy and F1-Score of 0.98, with Precision and Re-call of 0.97 and 0.99 respectively. This work is an emerging research at present with a vision of addressing the water quality for the future as well.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

XG Boost classifier, Support Vector Machine (SVM), Logistic Regression, Random Forest, Robust Scaler, Exploratory Data Analysis

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Indian classical music is a subject of detailed study and teaching. Before writing anything about the current Indian classical music, we must think about the history of classical music, its development, the tradition of gharanas and their characteristics.We have to understand the characteristics of classical music. In the modern era, the scope of classical music is becoming wider. The influence of music is visible on the entire world.Our Indian classical music has been very mysterious in spiritual life. Poetry, painting, sculpture, architecture and music come under the category of fine arts and among these fine arts, music is considered to be very important and the best.The basic foundation of other fine arts is physical matter. The basic foundation of music is sound and due to its quality being the element of space, music is omnipresent. Since the scope of music is very wide, its place among other fine arts is important.In this, the musician expresses his emotions through the voice, rhythm and beat. It is related to human life. The art of music is considered to be a God-given art.The Guru-Shishya tradition has a special significance in the development of Indian classical music. From time to time, there have been musicians in India who worshipped music through their art and practice and after some time, their artistic style took the form of a tradition.Earlier, Jati Gayan, Chhand, Prabandh, Dhrupad and Dhamar were sung in India. After the arrival of Arab and Iranian musicians, there was a change in our Indian classical music. Sadarang-Adarang created many Khayals and gave birth to modern Khayal singing.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Music in College Education, Gharanas

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The proposed AI-powered ATS assists in recruitment efficiency by automating the process of evaluating and scoring resumes. With Natural Language Processing (NLP) and machine learning, the system analyses applications, awarding scores that reflect how closely each resume matches job descriptions as well as skill relevance and experience. The ATS provides a percentage-based score indicating how closely the candidate matches the job and ranks them for easy hiring using models like Google Gemini Flash 2.0. We use PHP and MySQL for the backend to ensure safe storage of resumes as well as speedy access. A configurable scoring method that enables recruiters to modify attribute weightages according to positional requirements can help shortlist the right candidates for each job. By reducing the tedious effort and facilitating better hiring, this AI-based method streamlines the recruitment process and allows for decisions based on data rather than instinct.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI-powered Application Tracking System (ATS), Resume scoring, Natural Language Processing (NLP), Candidate ranking, Recruitment automation

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper provides a comprehensive exploration of the right to remain silent, a cornerstone of criminal jurisprudence that safeguards individuals from self-incrimination and protects the presumption of innocence. Tracing its historical roots from medieval England to its enshrinement in modern international and regional human rights instruments, the study underscores its evolution as a fundamental procedural guarantee. It critically examines international frameworks such as the UDHR, ICCPR, and regional conventions, and evaluates their interpretations in jurisdictions including Canada, Australia, and the United States. Special emphasis is placed on the Indian legal system, highlighting constitutional provisions, landmark Supreme Court decisions, and the recommendations of the Law Commission of India. Through comparative analysis, the paper identifies the challenges posed by misuse and the tensions between individual rights and effective law enforcement. Ultimately, it argues that while reforms may be needed to address emerging complexities, any erosion of the right to silence would undermine the principles of dignity, fairness, and justice at the heart of democratic legal systems.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Right to remain silent, criminal jurisprudence

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper examines the pervasive issue of human rights violations by the police in India, highlighting the critical role played by the National Human Rights Commission (NHRC) in mitigating such abuses. It begins with a foundational understanding of human rights as universal entitlements and explores the international legal framework, including the UDHR and related treaties. The study delves into the structural and functional aspects of the NHRC, evaluating its mandate, composition, and operational challenges. It scrutinizes systemic police misconduct--ranging from custodial torture and illegal detention to encounter killings and excessive surveillance--and critiques the limited enforceability of NHRC recommendations. Through landmark Supreme Court judgments and guidelines, the paper emphasizes the need for rule-of-law-based policing, greater accountability, and long-overdue police reforms. It concludes by advocating for enhanced statutory powers for the NHRC, legal safeguards against surveillance overreach, and a human rights-centric transformation of law enforcement practices in India.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Human Rights, Violations, Police, NHRC

  License

Creative Commons Attribution 4.0 and The Open Definition