Volume 13 | Issue 6 |

 Abstract

The increasing demand for inclusive communication solutions has led to significant advancements in hand sign gesture recognition systems. By combining state-of-the-art deep learning and computer vision technologies with Dense Neural Networks (DNNs), this work provides a thorough foundation for translating hand sign gestures into speech and text. By integrating MediaPipe for real-time hand tracking and landmark identification with OpenCV, the proposed approach guarantees precise gesture recognition. TensorFlow and Keras are used to create and train a powerful DNN that can accurately recognize gestures. Google Text-to-Speech (GTTS) is then used to convert the motions into natural-sounding speech. A user-friendly graphical user interface that promotes accessibility and seamless interaction was developed using the Tkinter (Tk) toolkit. To extract hand landmarks, the approach preprocesses input video streams using MediaPipe and OpenCV. These landmarks are normalized before being added to the DNN model for classification. The resulting text output is shown on the interface and concurrently converted into speech using GTTS. Experiments reveal that the system can accurately identify both static and dynamic motions in a range of lighting and background conditions. This research contributes to bridging the communication gap for those with speech and hearing impairments by providing a portable, real-time, and cost-effective option for sign language interpretation.

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 Keywords

Deep Learning, Dense Neural Network(DNN), MediaPipe, Google Text-to-Speech(gTTS)

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 Abstract

Organisations have their own interpretations of what constitutes employee well-being and how to build policies to support it. Overall, wellbeing revolves around physical health. Employees who perform well require more than just physical fitness they must also feel supported, connected, and balanced psychologically and socially. This paper examines occupational welfare criteria such as physical, psychological, and social relationships. A 20-item questionnaire has been designed to conduct the primary survey and collect employee feedback on policies that address these areas of well-being. Berger and Berger's Talent Management Handbook (2012) defines three major aspects of well-being: physical, psychological, and social relationship. The statistical analysis is performed to assess the responses of respondents, and suggestions are made to the company based on the survey results.

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 Keywords

Physical, Psychological, Social relationships, Wellness, Relational, Employee or staff well-being, Berger and Berger's.

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 Abstract

Traditional firewalls based on predefined rules and signatures to detect ,find and block malicious data, always struggling to adapt to evolving cyber threats. To remove this limitation, Artificial Intelligence (AI)-based firewalls leverage machine learning (ML) and deep learning (DL) techniques to dynamically analyze network behavior, find out anomalies, and prevent cyberattacks in real time. By using supervised, unsupervised, and reinforcement learning models, AI-powered firewalls can identify zero-day exploits, advanced persistent threats (APTs), malacious and suspicious patterns with higher accuracy than conventional firewall. Key AI techniques used include: Some key AI technic available here: o Threat Detection,Behavioral analysis, Automated Rule optimization, predictive threat Intelligence. o Threat Detection: Identifying deviations from normal traffic behavior using clustering and neural networks. o Behavioral Analysis: Monitoring user and device activity to detect inside threats. o Predictive Threat Intelligence: Using historical and past data to predict potential attacks. o Automated Rule Optimization: Automatic and Continuously updating firewall policies based on real-time threat analysis. AI-based firewalls enhance security by reducing false positives, enhance threat response times, and adapting to new attack vectors autonomously. However, challenges such as adversarial attacks, model interpretability, and calculated overhead remain areas of ongoing research. Future advancements in explainable AI (XAI) and federated learning may further strengthen AI-driven firewall solutions, making them indispensable in next-generation cybersecurity frameworks.

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 Keywords

1] AI firewall, [2] Machine learning, [3] Anomaly detection, [4] Deep learning, [5] Threat intelligence

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 Abstract

Despite the known genetic, epigenetic, and transcriptomic alterations, colorectal cancer (CRC) is still one of the major causes of cancer death throughout the world. Recent progress in the field of transcriptome has greatly promoted our understanding regarding the molecular mechanism at the molecular level during CRC progression, which identified several key core genes, such as KRAS, MYC, TP53 and APC, that control oncogenic pathways such as Wnt/?-catenin, PI3K-AKT, inflammatory signaling, etc. The conjoining of transcriptomics with the epigenomics, especially the DNA methylation and histone modifications, has shed more light on tumor suppressor gene silencing and oncogene activation that can serve as potential biomarkers for the early detecting and prognosis of the disease as well as the selection of the therapies. Since much of their development into personalized medicine has been internalized by pharmaceutical companies for proprietary reasons, these markers have not been extracted. New therapeutic interventions involving reversal of the abnormal expression pattern of genes using epigenetic drugs running the gamut of histone deacetylase inhibitors (HDACi's) and DNA methyltransferase inhibitors (DNMTi's) are under investigation. Finally, artificial intelligence (AI) and machine learning is also having a huge role in analyzing large scale transcriptomic data and it is transforming biomarker discovery, treatment selection and predicting patient outcomes, transcriptomic research will lead the personalized view of CRC and will provide a new hope for the early detection, prognosis, and personalized targeted therapy. As such, continuous multi-omics integration, computational biology and clinical validation efforts will be a crucial component in furthering CRC transformation into a renowned disease for which simple management strategies, improved survival and treatment efficacy can all be attained.

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 Keywords

Colorectal cancer, transcriptomics, epigenomics, biomarkers, multi-omics, Wnt/?-catenin, PI3K-AKT, DNA methylation, histone modification, artificial intelligence, personalized medicine, targeted therapy, liquid biopsy, single-cell RNA sequencing.

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Pandit Ishwar Chandra Vidyasagar played the most significant role in the reconstruction of modern society through Bengal Renaissance, when the Indian society especially in Bengal was stultified by both high rituals and superstitions. In the present research an attempt has been made to examine critically the role of Ishwar Chandra Vidyasagar as a social geographer. In this study it is highlighted how the way Vidyasagar influenced the peoples of India to become a part of Modern society and enlightened the then backward society. The present research paper has also tried to find out the relevance of Ishwar Chandra Vidyasagar in the present socio-cultural scenario of Bengal and India.

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Reconstruction of Modern society, Bengal Renaissance, Rituals and superstitions, Enlightened, Present socio-cultural scenario

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Abstract The present study is an attempt to bring into focus aspects governing the constitutional mandate of Uniform civil code why in the news in 21st century. This paper discusses the overview of Uniform Civil Code and addresses its need in certain level of society. In this paper I have talks about the constitutional provision for equality and Uniform civil code. It also covers the views regarding arguments in favors and against for Uniform Civil Code in India. This article focused on the concepts of Uniform Civil Code with some issues and challenges. This paper is an attempt to correlate the question of gender justice and equality issues of the adoption of Uniform Civil Code throughout the territory of India. This paper also highlights the judicial opinion in the context of Uniform Civil Code. The research methodology in this paper is in descriptive style and doctrinal. The author will be relying on secondary sources. At last paper conclude with some suggestions related to it

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 Keywords

Uniform Civil Code, Constitutional Provision, Gender equality and justice.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The recruitment process is vital for organizations aiming to establish a proficient workforce that drives business success. Despite its importance, HR teams often encounter obstacles--particularly when trying to fill numerous job vacancies at the same time. To overcome these hurdles, this project introduces an AI-integrated recruitment platform designed to enhance both the effectiveness and impartiality of hiring. By utilizing artificial intelligence and machine learning techniques, the platform automates critical stages of recruitment, including identifying potential candidates, screening resumes, and maintaining applicant engagement. One of its standout features is an intelligent resume analysis component that aligns candidate qualifications with appropriate job openings through content-based filtering. This functionality delivers targeted job recommendations to employers, streamlining the match-making process. The digital interview sequence involves a multi-phase evaluation: an initial aptitude test, a technical assessment of programming skills, and a final video interview. The platform leverages Natural Language Processing (NLP) to comprehend and reply to spoken inputs in a human-like manner. Furthermore, an integrated Attention Mechanism is used during the video stage to interpret behavioral indicators. By monitoring aspects like eye contact and head movement, the system evaluates the candidate's attentiveness and responsiveness when engaging with several interviewers. These behavioral insights are compiled and presented to hiring teams, enabling more informed, data-centric decision-making during final candidate selection. The platform's use of advanced AI technologies not only reduces the time and effort required in the hiring process but also introduces a fair and modern method of assessing applicants. This is especially useful for technical roles like software engineering and also assists job seekers in improving their resumes authentically and effectively.

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 Keywords

Recruitment, Human Resources, AI-driven platform, Talent acquisition, Candidate sourcing,Candidate screening, Automation, Bias reduction, Efficiency, Workforce development, Data-driven hiring, Organizational growth, Modern recruitment, Strategic hiring, HR technology

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Human trafficking, frequently described as modern slavery, continues to be a pressing global crisis, encompassing forced labor, sexual exploitation, and organ trafficking. Defined by the United Nations Palermo Protocol as the recruitment, transportation, harboring, or receipt of individuals through coercion or deception for exploitation, trafficking transcends national borders and affects diverse demographics. Rooted in socio-economic inequalities, political instability, and systemic marginalization, it exploits the world's most vulnerable populations. Despite robust international and national legal frameworks, significant gaps in enforcement and victim protection persist, exacerbated by corruption, poor coordination, and limited resources. Emerging trends such as online recruitment and organ trafficking present new challenges for law enforcement. This study critically examines the root causes, evolving forms, and profound impacts of human trafficking on individuals and societies. It evaluates the intersection between trafficking and human rights laws, the effectiveness of national legislative frameworks, and the pivotal role of NGOs and civil society. Future directions emphasize the need for harmonized laws, enhanced victim-centered policies, and greater international cooperation. Addressing human trafficking demands a holistic, multi-sectoral approach that tackles root causes, strengthens protections for victims, and dismantles trafficking networks to ensure sustainable societal resilience and uphold human dignity.

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 Keywords

Human Trafficking, Sexual Exploitation, Organ Trafficking, Socio-Economic, Legal Frameworks, Law Enforcement and Human Rights Laws

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Creative Commons Attribution 4.0 and The Open Definition

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Due to the numerous benefits that these herbal-based hair dyes offer over chemical-based ones, they are becoming increasingly popular. We have made an effort to prepare and standardize this preparation in order to guarantee both its stability and quality. Goal The creation of herbal hair dye and the assessment of its many criteria, including organoleptic, physico-chemical, phytoconstituent, rheological, patch, and stability testing for its effectiveness and shelf life, were the goals of the current study. Materials and Procedures All natural materials were used in the in-house preparation of the herbal dye, which followed the suggested composition. The dye's stability, physico-chemical, and organoleptic properties were assessed. Findings It was discovered that the parameters were adequate and similar for assessing herbal dye. The results of many analyses supported the use of the hair dye. In conclusion Hair dye made from herbs has been made and assessed based on a number of criteria. Regardless of any negative consequences, it provides a natural substitute that can be used. When creating the pharmacopoeial standards, the findings can be taken into consideration.

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 Keywords

natural herbal, hair dye, gray hair, herbal, dye, and organoleptic

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Teaching competency is the overall capacity of the instructors to teach efficiently and help students develop. It integrates a wide range of knowledge, abilities, and inclinations that are essential in effective instruction. Fundamentally, it entails mastery of the subject matter alongside excellent pedagogical skills such as good classroom management, delivery of instruction, and proper assessment. Outside of the classroom, effective teachers exhibit personal qualities such as empathy, flexibility, and excellent communication, creating positive learning climates. They are also skilled at implementing technology and dedicated to ongoing professional development. In conclusion, high teaching competence directly links with enhanced student results, better educational quality, and learners' holistic development, rendering it indispensable to an efficient educational system. In addition the findings exhibited that there were not significant differences between the Post graduate Teachers regarding their gender, academic stream, Locality of the school.

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 Keywords

Teaching Competency, Post Graduate Teachers, School Education, Pedagogical Skills.

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Creative Commons Attribution 4.0 and The Open Definition