Volume 14 | Issue 5

 Abstract

Today, travelling is very popular, but planning travels can be very complicated and time-intensive, since people have to collect information from numerous sources. Additionally, existing systems typically only give users general recommendations without taking into consideration individual preferences such as budget, duration, and interests. Consequently, this can cause confusion and delays in planning. To address this, we propose a solution, Journey Sense AI - Smart Trip Planner, that provides an Artificial Intelligence-based system for simplifying travel planning. Users enter basic information including their destination, financial constraints, amount of time they have available, and what their preferences are, and the application will create a customised travel plan with details regarding hotels, activities, locations and routes for each day of their trip and will do so without requiring any manual searching for travel information.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence, Smart Trip Planner, Travel Itinerary, Personalization

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Seller Shield is a browser extension that detects fraudulent sellers in e-commerce using behavioral analytics and machine learning. Unlike traditional server-based systems, it provides real-time alerts by analyzing reviews, ratings, and discounts directly from product pages. The extension processes data through machine learning to deliver user-friendly risk scores without collecting or selling consumer information. Tested on 350+ real product pages, it achieved 94% feature extraction accuracy, 81% expert prediction agreement, and 89% fraud detection rate without false positives on prime brands. User studies showed 92% found explanations understandable and 87% felt more confident in purchases. The system prioritizes transparency, privacy, and speed.

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 Keywords

E-commerce fraud detection, browser extension, machine learning, behavioral analytics, seller verification, risk scoring, online shopping security, fake reviews detection, transparent fraud detection, privacy-preserving security

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Artificial Intelligence (AI) is increasingly being integrated into healthcare systems for tasks ranging from disease diagnosis and prognosis to drug discovery and personalized treatment recommendations. Despite the promising performance of AI models, their widespread clinical adoption remains constrained by a lack of transparency, explainability, and accountability. Clinicians and patients demand to understand the rationale behind AI-generated decisions, especially in high-stakes medical contexts. This paper proposes a Transparent and Accountable AI (TAAI) framework specifically designed for healthcare applications. The framework integrates Explainable AI (XAI) techniques--including a hybrid SHAP-LIME approach--with a multi-stakeholder audit trail, a fairness evaluation module, and a regulatory compliance layer aligned with GDPR and the EU AI Act. The proposed system is evaluated on a benchmark medical imaging dataset for disease classification. Experimental results demonstrate that TAAI achieves a diagnostic accuracy of 91.4%, an explanation fidelity score of 0.89, a bias detection rate of 87.5%, and a clinician trust score of 4.3 out of 5--outperforming existing XAI-integrated baselines. The framework offers a scalable, standards-compliant pathway to trustworthy AI deployment in clinical environments.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Explainable AI, Healthcare AI, Transparency, Accountability, SHAP, LIME, Fairness, GDPR, Trustworthy AI, Clinical Decision Support, Bias Detection, Audit Trail

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

EMOTIONAL MATURITY AMONG 16 TO 18 YEARS OF ADOLESCENTS FROM SELECTED COLLEGE

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EMOTIONAL MATURITY AMONG 16 TO 18 YEARS OF ADOLESCENTS FROM SELECTED COLLEGE

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 Abstract

Background: Hamstring flexibility plays a vital role in the performance, agility, and injury prevention of wrestlers. Limited hamstring flexibility is a common problem that can lead to decreased athletic performance and increased risk of muscle strain. Stretching techniques such as Dynamic Stretching (DS) and Hold-Relax Proprioceptive Neuromuscular Facilitation (PNF-HR) are widely used to improve flexibility, yet their comparative effectiveness among wrestlers remains uncertain. Aim: To compare the effectiveness of Dynamic Stretching and Hold-Relax PNF Stretching in improving hamstring flexibility among wrestlers. Methodology: A comparative study was conducted on 36 wrestlers with hamstring tightness, divided equally into two groups. Group A performed Dynamic Stretching and Group B performed Hold-Relax PNF Stretching for 1 week on alternate days. Outcome measures included the 90-90 Straight Leg Raise Test and Knee Range of Motion (ROM) measured pre- and post-intervention using a goniometer. Statistical analysis was performed using paired and unpaired t-tests. Results: Both Dynamic Stretching and Hold-Relax PNF Stretching significantly improved hamstring flexibility within each group (p < 0.05). However, Hold-Relax PNF Stretching showed a slightly greater mean improvement in 90-90 SLR angle and knee extension ROM compared to Dynamic Stretching, though the difference between groups was not statistically significant. Conclusion: Both stretching techniques are effective in improving hamstring flexibility in wrestlers, but Hold-Relax PNF stretching may offer a marginally better outcome. This finding supports the inclusion of both stretching methods in wrestling warm-up and rehabilitation routines to enhance flexibility and reduce the risk of injury.

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 Keywords

Dynamic stretching, Hamstring flexibility, Hold Relax PNF, Range of Motion, Wrestlers, 90-90 SLR.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Online Course Platform is a web-based application developed using ASP.NET Web Forms that facilitates seamless learning experiences for students, instructors, and administrators. The platform aims to provide a user-friendly and efficient system for online education, ensuring accessibility and security for all users. Students can register, log in, search for courses, purchase courses, watch course videos, provide reviews, and generate certificates upon course completion. Instructors have the ability to create courses, manage enrolments, generate reports, and update their profiles. Administrators oversee user management, instructor verification, and login functionalities. The system ensures a streamlined course enrolment process, secure payment integration for course purchases, and automated certificate generation. With role-based access control, the platform guarantees secure interactions between users. By leveraging ASP.NET Web Forms, the system delivers a responsive and scalable solution to support online education effectively.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Course Management, Assessment Tools, Adaptive Learning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract Ayurveda stands as the perennial, preeminent paradigm of medicine, uniquely synthesizing the enhancement of physiological vigor with the eradication of pathology. Central to this tradition is Sushruta, the progenitor of surgical science, who codified a sophisticated taxonomy of interventions including Bheshaja (pharmacotherapy), Kshara (alkaline cautery), and Shastra (sharp instrumentation).Foremost among these is Agnikarma, a thermal parasurgical modality lauded for its definitive efficacy; it is traditionally posited that maladies extirpated via this method are rendered recalcitrant to recurrence. Given that algos (pain) remains a pervasive and debilitating sensory-emotional phenomenon, Agnikarma emerges as a robust, minimally invasive analgesic strategy. The procedure entails the application of precision-targeted thermal energy--delivered via specialized instruments to achieve curative, hemostatic, or postoperative objectives. In the Ayurvedic ontological framework, chronic pain (Ruja) is primarily attributed to the vitiation of the Vata and Kapha doshas. Agni karma facilitates the neutralization of these turbulent bio-energies, mirroring the modern clinical application of therapeutic cauterization to provide profound, lasting relief.

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Keywords: Agnikarma, Kshar, Dosha, Samhita

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Electronic Health Records (EHRs) represent a monumental shift in modern healthcare, yet their centralized storage models remain plagued by fragmented data silos, single points of failure, and a systemic lack of patient authority. This research paper presents a robust, decentralized framework utilizing Hyperledger Fabric and the Interplanetary File System (IPFS) to create a secure, interoperable, and patient-centric healthcare environment. The architecture is structured into a three-tier model comprising presentation, application logic, and decentralized infrastructure. By keeping sensitive medical records encrypted and stored off-chain via IPFS, the system ensures scalability while maintaining the immutability of record pointers on the blockchain. Smart contracts are utilized to automate access control policies, ensuring that patients retain ultimate sovereignty over their medical history. The result is a highly durable and auditable system that mitigates the risks of traditional centralized databases. Experimental results demonstrate improved transaction transparency and high usability for clinicians and patients alike. This framework serves as a foundational step toward an equitable, efficient, and blockchain-enabled healthcare ecosystem.

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 Keywords

Blockchain, healthcare, EHR management, decentralized system. Hyperledger

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In today's fast-paced digital business environment, organizations seek intelligent systems to automate communication processes and enhance productivity. Traditional methods of sending outreach emails, managing follow-ups, and scheduling meetings are often time-consuming and inconsistent. SalesPilot AI is an advanced AI-powered platform that simplifies and automates business communication through email generation, campaign management, and meeting scheduling. Built using React and TypeScript for the frontend--with a secure Supabase backend and Postfix for reliable email delivery--SalesPilot AI uses Gemini 2.5 to create personalized and context-aware email templates. By integrating AI with modern cloud technologies, SalesPilot AI enhances efficiency, improves engagement, and streamlines communication workflows for businesses. This paper discusses the system design, architecture, AI integration, deployment strategy, evaluation results, and future research directions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence, Email Automation, Postfix, Supabase, Gemini 2.5, Business Communication, Meeting Scheduler

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present study focuses on the formulation and evaluation of a polyherbal hand sanitizer using natural plant extracts such as Neem (Azadirachta indica), Tulsi (Ocimum sanctum), and Aloe vera. The increasing demand for safe and skin-friendly hygiene products has led to the development of herbal alternatives to conventional alcohol-based sanitizers. In this study, herbal extracts were prepared using suitable extraction methods and incorporated into a formulation containing ethanol, glycerin, and other excipients. The prepared sanitizer was evaluated for various physicochemical parameters including pH, viscosity, spreadability, drying time, and stability. The formulation showed a pH in the range of 6.2-6.8, indicating skin compatibility. It exhibited good consistency, pleasant odor, and easy spreadability with quick drying time. Antimicrobial activity was confirmed using standard microbiological methods, showing effective inhibition against common pathogens. No signs of skin irritation were observed during testing, and the formulation remained stable under different storage conditions. The presence of bioactive compounds in herbal ingredients contributed to antimicrobial activity, while Aloe vera provided moisturizing and soothing effects. Overall, the formulated herbal hand sanitizer was found to be effective, safe, eco-friendly, and suitable for regular use

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Creative Commons Attribution 4.0 and The Open Definition

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Herbal Hand Sanitizer , Poly Herbal Formulation, Bioactive Compound, Anti-Microbial.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Menstrual pain, or dysmenorrhea, is a common gynecological condition affecting a significant proportion of adolescent girls and women of reproductive age. It is primarily associated with increased production of prostaglandins in the endometrium, which leads to intensified uterine contractions, reduced uterine blood flow, and consequent pain. Non-steroidal anti-inflammatory drugs (NSAIDs) are widely considered the first-line pharmacological treatment for managing primary dysmenorrhea due to their ability to inhibit cyclooxygenase (COX) enzymes and reduce prostaglandin synthesis.

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 Keywords

Menstrual Cycle, Dysmenorrhea, NSAID's , Prostaglandin

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Creative Commons Attribution 4.0 and The Open Definition

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Isatin (1H-indole-2,3-dione) is a privileged heterocyclic scaffold widely explored in medicinal chemistry due to its diverse biological activities. The present review highlights recent advances in the computational analysis, synthesis, characterization, and biological evaluation of novel isatin analogues. Computational techniques such as molecular docking, quantitative structure-activity relationship (QSAR), and ADMET prediction play a crucial role in the rational design and optimization of these derivatives. Various synthetic approaches, including conventional and green chemistry methods, have been employed to generate structurally diverse isatin analogues with improved pharmacological profiles. Characterization techniques such as NMR, IR, mass spectrometry, and chromatographic methods ensure structural confirmation and purity. Biological studies demonstrate significant antimicrobial, anticancer, antiviral, anti-inflammatory, and central nervous system activities of these compounds. Structure-activity relationship studies further guide the development of potent analogues. Overall, the integration of computational and experimental strategies provides a promising pathway for the discovery of new therapeutic agents based on the isatin scaffold.

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 Keywords

Cytotoxicity,Anticancer Activity ,Antimicrobial, Antibacterial , Antifungal Anticonvulsant Activity

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Retail credit helps customers meet their financial needs and improve their standard of living. This study examines the factors influencing retail credit accessibility and its impact on customers' financial stability. The study is based on primary data collected from 200 respondents in Coimbatore using a structured questionnaire. Tools like percentage analysis, ranking analysis, ANOVA, correlation, and regression are used. The results show that income level, loan processing speed, and interest rate are the main factors affecting credit access. It also finds that better access to credit improves financial stability, while poor usage may create financial problems. Overall, proper access to credit and responsible borrowing can improve customers' financial condition.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Retail Credit, Credit Accessibility, Financial Stability, Income Level, Interest Rate, standard of living, etc.,

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Climate change is no longer a distant or theoretical concern; it has become an immediate and lived reality, particularly in India. Increasing heatwaves, floods, landslides , rising sea levels, and growing threats to food security demonstrate how climate impacts are affecting everyday life rather than remaining isolated environmental events. India's legal framework has historically addressed environmental protection by expanding the scope of Article 21 of the Constitution to include the right to a clean and healthy environment. However, a significant development occurred in 2024 when the Supreme Court recognised freedom from the adverse effects of climate change as a fundamental right. This marked a shift from traditional environmental regulation toward the broader concept of climate constitutionalism. This study examines how climate change has become embedded within the constitutional right to life by analysing judicial developments, human rights principles, climate justice, and intergenerational equity. While the judiciary has played a crucial role in advancing climate rights, the effectiveness of these protections ultimately depends on the creation of comprehensive legislation and strong institutional mechanisms. Without practical implementation, constitutional recognition alone risks remaining symbolic rather than transformative.

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Creative Commons Attribution 4.0 and The Open Definition

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Climate Change; Right to Life; Article 21; Climate Constitutionalism; Human Rights; Climate Justice; Intergenerational Equity.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Child labour remains a pervasive and deeply entrenched issue in many parts of the world, with its manifestations often hidden within the complex and opaque networks of global supply chains. India, with its vast population, diverse economy, and historical socioeconomic challenges, presents a particularly significant context for examining child labour within these intricate production systems. The phenomenon is not merely a by-product of poverty but is deeply interwoven with issues of inadequate education, weak governance, cultural norms, and the relentless pursuit of profit by multinational corporations. Global supply chains, characterized by their fragmented nature, subcontracting practices, and the pressure to reduce costs, create fertile ground for the exploitation of children, particularly in sectors where oversight is minimal and the labour force is largely informal. This essay will delve into the multifaceted problem of child labour in global supply chains, with a specific focus on India. It will explore the root causes, the sectors most affected, the impact on children, the role of global corporations and consumers, and the legal and policy frameworks in place, as well as their limitations. Finally, it will consider potential pathways and strategies for its eradication.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Child Labour, Global Supply Chains, India, Exploitation, Informal Sector

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Agriculture is a part of Indias economy. We need to guess how much crops will grow so we can make sure we have food and plan the economy. In this paper we are talking about a system that uses computers to guess how much crops will grow. This system also uses pictures to show how well crops will do in Indias three growing seasons: Kharif, Rabi and Zaid. Our system uses a method called Linear Regression. It looks at things like how rain falls how hot it is how much pesticide is used and how much fertilizer is used to guess how much crops will grow. We measure how much crops grow in tons per hectare. We are using how much crops grow. Linear Regression to make guesses. We made a website using a tool called Streamlit. It lets people get guesses away. It also shows pictures of the guess results using a tool called Plotly. This is really helpful for people who want to see the results of how much crops grow. Our system is good at guessing how much crops will grow. It also helps farmers and people who plan agriculture by giving them tools to make decisions through dashboards. This means farmers and planners can use our system to make decisions about how much crops will grow. We tested our system with a lot of data. 3,000 Points. The results were good. We were able to guess how 30 crops would grow across three cycles. Our system guessed how much crops would grow. The results were good. Our system is helpful for precision agriculture. This lets farmers and people who plan agriculture make decisions based on facts. This helps them choose the crops and use resources in the way. Precision agriculture and how much crops grow are important, for Indias economy. Index Terms--Crop yield prediction, machine learning, linear regression, precision agriculture, Streamlit, Indian agriculture, seasonal crops, data visualization, agricultural informatics

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Crop yield prediction, machine learning, linear regression, precision agriculture, Streamlit, Indian agriculture, seasonal crops, data visualization, agricultural informatics

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Creative Commons Attribution 4.0 and The Open Definition