Volume 14 | Issue 5 |

 Abstract

The development of personal security apps is plagued by an important design flaw - their dependence on consistent internet connectivity, making these applications unusable in "dead zones" or when network services are throttled. In this paper, we propose 'Her Haven', a comprehensive offline-first Progressive Web Application (PWA) which provides support for women's safety needs, reproductive health, and mental well-being. The inclusion of React/Vite front-end, Workbox service workers for local caching, and Capacitor JS for full hardware access allows Her Haven to operate without any connection to the internet. A new Fallback State-Machine Routing Algorithm is developed, which constantly analyzes network payloads latency. When regular API communication fails, it will automatically route through native SS7 SMS messaging within 1.5 seconds. Our experiments performed in Faraday cages show 100% delivery success in sending distress signals without any connectivity at all. Also, we present the mathematical basis behind phase-dependent health apps and CSS matrices maintaining psychological immersions on mobile devices within the scope of desktop viewports. Her Haven manages to establish an absolutely redundant architecture for intersectional women's technology.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Progressive Web Apps (PWA), Offline-First Architecture, Service Workers, Women's Empowerment, Fallback Algorithms, Personal Area Networks (PANs), Capacitor, Mobile Health (mHealth).

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Tamil is one of the oldest living languages in the world, and it has a very rich tradition of expressing love and emotion. In Tamil culture, romantic words are not only used to show affection but also to create a deep emotional bond between two people. These phrases often carry cultural meaning, poetry, and strong feelings. Because of this, Tamil romantic expressions are more powerful than simple direct words. Traditional Tamil literature, especially Sangam poetry, has always described love through nature, beauty, and emotion. Tamil lovers often compare the person they love to the moon, lightning, gold, or other beautiful things in nature. For example, words like anbe (dear love), kannamma (a loving term of affection), and thangam (gold) are often used to show closeness and warmth. These words do more than name a person. They also show care, respect, and deep emotional attachment. In modern times, Tamil romantic phrases are used both in face-to-face conversation and in digital communication

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Tamil culture, Romatic songs, Sangam literature, Words, Emotion in songs

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This systematic review examines the application of Artificial Intelligence (AI) and Machine Learning (ML) techniques in Intrusion Detection Systems (IDS). The review analyses 162 peer-reviewed studies published between 2015 and 2024, focusing on supervised learning, unsupervised learning, and deep learning approaches used in Network-based IDS (NIDS), Host-based IDS (HIDS), and Hybrid IDS architectures. The findings indicate that deep learning models, especially Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN), and Generative Adversarial Networks (GAN), outperform traditional ML methods on benchmark datasets such as NSL-KDD, UNSW-NB15, and CICIDS2017, achieving F1-scores above 0.98. However, challenges such as class imbalance, adversarial attacks, concept drift, high false positive rates, and limited dataset generalization continue to affect practical deployment. Emerging technologies including Federated Learning, Explainable AI (XAI), and Graph Neural Networks (GNN) show promising results for future IDS development. This review provides a structured overview of AI-based IDS techniques, benchmark datasets, current challenges, and future research directions.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Intrusion Detection System (IDS), Artificial Intelligence, Machine Learning, Deep Learning, Cybersecurity, Anomaly Detection, Federated Learning, Explainable AI.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The increasing generation of agro-industrial and municipal wastes presents both an environmental challenge and an opportunity for sustainable resource utilization. These waste streams, rich in lignocellulosic and organic components, can be effectively valorized into industrial enzymes through microbial fermentation. This review critically examines recent advances in enzyme production using waste substrates, focusing on fermentation strategies such as solid-state fermentation (SSF) and submerged fermentation (SmF), microbial strain improvement, and process optimization. Key enzymes including cellulases, amylases, proteases, lipases, xylanases, and pectinases are discussed in relation to substrate utilization and industrial applications. Emerging technologies such as CRISPR-based strain engineering, omics integration, artificial intelligence-driven fermentation, and nanobiotechnology are also highlighted. Furthermore, techno-economic feasibility, life cycle assessment, and sustainability aspects are analyzed. Despite challenges such as substrate heterogeneity and scale-up limitations, waste-based enzyme production represents a promising pathway toward a circular bioeconomy.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Waste valorization; industrial enzymes; SSF; SmF; lignocellulose; circular bioeconomy

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The increasing use of online video reviews and user generated multimedia content has significantly influenced opinion formation and decision-making in domains such as e-commerce, entertainment, and education. This trend has enhanced the importance of sentiment analysis in Natural Language Processing (NLP). Previous studies, including the Urdu Multimodal Sentiment Analysis (UMSA) framework, have shown that integrating textual, audio, and visual modalities improves emotion and sentiment recognition, especially for low-resource languages.Through the introduction of the Urdu Sentiments Dataset (USD) and the use of multimodal fusion with ensemble learning, UMSA demonstrated the effectiveness of cross-modal learning. Building on these findings, this study explores the broader applications of multimodal NLP beyond sentiment classification, such as personalized content generation, intelligent tutoring systems, and interactive digital assistants. By jointly analyzing multiple modalities, the proposed approach aims to improve user intent understanding and adaptability while addressing challenges like data imbalance, noise, and limited labeled datasets. Overall, the study highlights the potential of multimodal approaches in developing robust and user-centric intelligent systems.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Multimodal Sentiment Analysis, Natural Language Processing, Multimodal Fusion, Emotion Recognition, LowResource Languages, Intelligent System.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

BACKGROUND: To determine Does strength correlate with rotator cuff strength in patients with atraumatic shoulder instability. Occupational therapy is designed to help promote and improve functional independence. Unsurprisingly, the results showed that a course of occupational therapy for people with orthopedic shoulder injuries may result in greater functional independence as well as grip strength. METHOD: In this study 30 patients with Atraumatic shoulder instability is taken and the patients are randomly divided in to two Group A and Group B. Group A Strengthening Exercises and Group B Pendular Exercise for 4 week. RESULT: The result of within Group analysis, showed extremely significant improvement in terms of pain, ROM and disability (P = 0.000) in the Group showed significant improvement compared to Pendular exercise. CONCLUSION: The study conclude that both Groups shows the significant improvement but Pendular exercise is more effective than Strengthening exercise.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Quick dash quality of life, Range of motion, Hand help dynamometer hand grip strength

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In Ayurveda, Vranagranthi resembles keloid. The pathogenesis includes vitiation of Rakta, Meda, and Mamsa Dhatus, primarily due to aggravated Vata and Kapha doshas. keloids are benign dermal growths resulting from abnormal wound healing, marked by the excessive proliferation of fibroblasts and deposition of immature collagen fibers presenting with symptoms such as kandu (itching), Daha (burning sensation), pain, tenderness, and cosmetic disfigurement .The treatment of keloids is difficult and often unsatisfactory. Several treatment modalities have been tried, but most of them have rendered disappointing results, especially when recurrence is concerned. Commonly used treatments include intra lesional steroid injection, which can have local side effects like skin relaxation, skin atropy, skin erosion, skin pigmentation along with the recurrence. Purpose of the study: the key objective of the study is to effectively manage symptoms of vranagranthi and reduce kandu and daha in patient.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keloid, Vranagranthi , Jalaukavacharan, Raktamokshana, Ayurveda, Leech Therapy, Kandu, Daha

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The coco peat industry, an emerging sector within the coir industry, provides significant employment opportunities in rural areas, particularly for women. This study examines women's participation and empowerment in coco peat production, with a focus on their roles in husk collection, cleaning, sorting, and packing. While women form a substantial share of the workforce, their contributions are often undervalued, with limited access to skill development, decision-making, and fair wages. The research explores the challenges faced by women workers, including occupational health risks, gender-based wage disparities, lack of social security benefits, and restricted career growth. At the same time, it highlights opportunities for empowerment through training programs, gender-sensitive policies, and sustainable employment practices. By addressing issues of equity and inclusion, the study emphasizes the potential of the coco peat sector to act as a platform for women's socio-economic empowerment and contribute to rural development.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Women Employment

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The ML-Based Certificate Request and Management System is a web application developed to make the certificate request process easier and faster for students and administrators. The system allows students to submit certificate requests online by entering their details, selecting the certificate type, uploading files, and writing their request message. The application uses Machine Learning and Natural Language Processing techniques to automatically identify the priority of the request and analyse the sentiment of the message. This helps administrators understand urgent requests quickly. The system also provides an admin dashboard where administrators can view requests, update status, send replies through email, and manage student records efficiently. The project is developed using Flask, Python, SQLite, HTML, CSS, and Machine Learning libraries. It also includes features like secure login, file upload, request tracking, email notifications, and data export. This system reduces manual work, saves time, improves communication, and provides an easy and organized way to manage certificate requests in educational institutions.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Certificate Management System, Flask, SQLite, Sentiment Analysis, Web Application, Request Management, Email Notification, Automation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Digital India effort, inaugurated in 2015, seeks to convert India into a digitally empowered society by improving infrastructure, governance and public participation. Gujarat, as one of India's most economically developed states, provides a substantial framework to evaluate the social ramifications of digital change. By examining Indian digitalization, we seek to critically analyse (a) the methods by which socially engaged, early stage, high-technology firms integrate social and economic objectives to expand their ventures; and (b) the strategies employed by socially engaged firms to cultivate entrepreneurial opportunities and the facilitation of stakeholder institutions to enhance the value creation process. This research study analyses the social ramification of Digital India in Gujarat, concentrating on digital inclusion, financial inclusion-governance, skill development and entrepreneurship. The research utilizes qualitative analysis of secondary data from governmental publications, scholarly literature and case studies demonstrating that digital initiatives have significantly improved service accessibility, governance transparency and economic inclusion. Digital India possesses significant potential for social benefit, its efficacy relies on inclusive implementation, legislative backing and ongoing investment in digital infrastructure and skills. We discovered that the entrepreneurs, social motivation and goals are equally powerful motivators and are the main reasons for the scaling up processes. The motivation is bolstered by the proactive involvement of government efforts, which also include other essential stakeholders in the growth process. Digital technology and a strong desire to succeed among entrepreneurs often work together to create market opportunities and draw the attention of national-international foundations.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital India, Gujarat, Social Impact, Digital Inclusion, e-Governance, Skill Development, Start ups

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Creative Commons Attribution 4.0 and The Open Definition