Volume 14 | Issue 3 |

 Abstract

Being one of the pillars of the Indian economy, agriculture has not been completely eliminated, yet the loss of crops by unknown diseases and ineffective fertilization process is still present and the outcomes are reduced by 30 percent. Harvestify is an AI-powered web-based system of crop disease and soil-specific fertilizer recommendations, which is introduced in this paper. Based on convolutional neural networks (CNNs) and image processing, Harvestify can determine the disease in over 95 percent accuracy of the most popular crops, including rice, tomato, and potato. Measurement of soil parameters, e.g. NPK values and pH are integrated into an expert system, which uses rules to generate a tailor made fertilizer and crop advisor to ensure reduced over-application and greater sustainability. The system in the form of a convenient web application will provide the farmers with timely diagnostics and reduce the use of professionals and give them the opportunity to take proactive actions. Performance is high as benchmark validation experiments indicate high performance in comparison to baselines with F1-score of 0.96 in detecting diseases. Harvestify promotes precision agriculture which is productive and assists in enhancing utilization of resources in the environment with limited resources. Index Terms Crop disease detection, convolutional neural networks, fertilizer recommendation, precision agriculture, web-based AI systems, Plant pathology

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 Keywords

Plant Disease Detection, Artificial Intelligence, CNN, Smart Agriculture, Image Processing, Crop Recommendation.

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This paper conducts a feminist comparative study of Helen of Troy and Queen Elizabeth I to examine the ways in which patriarchal discourses influence the representation of female power, guilt, and authority. By using Homer's *The Iliad*, a feminist reinterpretation of Helen by Bettany Hughes, Queen Elizabeth I's Tilbury Speech, and historical feminist scholarship by Carole Levin, this paper will examine the ways in which myth and history provide divergent narratives of female failure and success. Helen of Troy is represented as a patriarchal scapegoat whose beauty and sexuality are held responsible for the Trojan War, while Queen Elizabeth I is represented as a successful female ruler who pragmatically navigated patriarchal power relations. By using feminist theoretical approaches, this paper will contend that both women are represented as the product of patriarchal discourse, but that their narratives provide different possibilities and limitations for female agency within patriarchal systems.

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 Keywords

Keywords: Patriarchy, Feminism, Helen of Troy, Queen Elizabeth I, Myth, Female Agency

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Background: Dry needling is an evolving intervention utilized in patients with many musculoskeletal and neuromuscular pathologies to treat pain, functional impairments, and disabilities. Despite dry needling proving to be a safe and effective treatment for neuromusculoskeletal pain, a notable literature deficit exists concerning the patient's experience, with the majority of studies relying on clinician-reported data. A patient's perception of a medical procedure is built not just on the physical sensation or outcome, but also on their feeling of safety, respect, and professionalism during the process. This self-made questionnaire is focused on subject's or patient's pre-requisite knowledge about invasive Dry needling technique. Objectives: We have designed a self-made questionnaire to check the patient's perception of post dry needling application who have undergone Dry needling. Result: It indicates that the participants demonstrate high patient satisfaction and a significantly positive perception of Dry Needling. Regarding efficacy, two-thirds of participants reported achieving the desired immediate effect, with a 55% majority reporting this positive effect was sustained for at least one day. Furthermore, patient-centered care and safety were highly rated, as 98% confirmed receiving a pre-procedure explanation and 97% confirmed consent was taken. A key psychological benefit observed was the successful mitigation of apprehension, with 73% of respondents affirming that their pre-existing fear of needles had been alleviated post-treatment, and 94% reported an absence of adverse dermal reactions. Conclusion: Patients perception is a key matter, where they were clarified about the technique, communicating with patient, hygiene is maintained, asked for an informed consent before inserting needle and explaining the desired effects of dry needling which may help in speedy recovery of the patient. It also helps to understand the patient behavior towards needle related activity receiving immediate feedback and evaluating the psychological impact of invasive techniques done by physiotherapist. It provides a standardized framework for the physiotherapist's to inculcate Dry Needling Technique with appropriate measures for patient-care.

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 Keywords

Dry needle, Perception, Questionnaire, Needle phobia, Consent, Physical therapy.

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Abstract: This study explores how Artificial Intelligence (AI) is being incorporated into strategic decision-making processes across diverse sectors. It analyzes the role of advanced AI techniques including machine learning algorithms, natural language processing systems, and predictive modeling tools in improving the quality, speed, and accuracy of organizational decisions at strategic, tactical, and operational levels. The paper critically evaluates the advantages of AI adoption, such as enhanced forecasting capability and data-driven insights, while also addressing implementation challenges, ethical concerns, and governance issues. In addition, it discusses the evolving relationship between human judgment and intelligent systems, highlighting the need for collaborative decision frameworks. The study concludes by proposing practical recommendations to help organizations successfully integrate AI technologies and leverage their full potential for sustainable strategic advantage.

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Keywords: Artificial Intelligence, Strategic Decision-Making, Machine Learning, Natural Language Processing, Predictive Modeling.

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The economy of our country has taken a specific export-oriented industry having a best special-ization in sea food processing industries in Gujarat. The livelihood coastal people and 1% em-ployment absorbed through this salified processing in Gujarat. It's an extensive coastline stretching over 1,600 kilometres is abundant with marine resources. The research gap of this study has given so much stress on the changes in the employment absorbing capacity by them. On the other hand, due to ample foreign demand for their product, the foreword effect on both growth with employment, created a new horizon in the market. Gujurat with more than 3,76,000hectares of coastline and six coastal districts. These eco-systems are rich in biodiversi-ty, providing opportunities, brackish water fisheries to shift from traditional agriculture practices to marine, aquaculture, thereby highlighting the states blue economy. Gujrat's development framework will help the achieve the UN sustainable Development goal 14, "Life below the wa-ter". Regular monitoring and innovative marine management thus vital for realizing the full prospective of the blue economy in Gujurat.

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Coastal Resources, Economic, Social and Environment aspect Ratio analysis, Industrial relation

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A wireless sensor network (WSN) consists of geographically distributed, self-governing sensors that collect information about the network's environment. While biomedical sensors are effective and secure in their data collection and prevent potentially dangerous user actions within the network, it is still difficult to identify attacks from regular sensor nodes. Data requests and responses must be validated as part of authentication in wireless sensor networks (WSNs). Authentication is therefore the most crucial security measure. The Internet of Things requires lightweight authentication solutions for low-resource sensor nodes to operate effectively. Three factors were used in the development of a novel authentication system to achieve these objectives. As per the study's findings, the proposed system outperforms all previous comparable protocols, which makes it ideal for applications that use the WSN. Its efficiency can be measured by examining the transmission and computation expenses. This makes it possible for authorized users to access real-time sensing data from WSN sensor nodes after registering for the service. Before granting access to the network, WSN sensor and gateway nodes must verify a user. Among these are their mobility, scalability, dependability, and power efficiency. Performance can be energy efficient. It is unable to account for noise and increased traffic. They employ energy-efficient performance, protocols, modulation techniques, and algorithms. The cross-layer design of the wireless sensor network was covered in this survey. The network life time and throughput are being improved by further implementing the new low power MAC technology and dynamic node traffic analysis.

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Keywords: - Block chain, WSN, Cluster Protocol, Data Aggregation Authentication.

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Creative Commons Attribution 4.0 and The Open Definition

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The Blind AI Assistant is an intelligent assistive system designed to support visually impaired individuals in performing daily activities independently and safely. Visually challenged users often face difficulties in navigation, object identification, reading printed materials, and interacting with digital content. This project integrates Artificial Intelligence technologies such as Computer Vision, Speech Recognition, Optical Character Recognition (OCR), and Text-to-Speech (TTS) to provide real-time assistance through voice feedback. The system enables object detection, environment description, text reading, and voice-controlled interaction. A unique feature of this project is the volume button multi-press control mechanism, which allows users to switch between Navigation Mode, Assistant Mode, and Reading Mode without relying on touch screens. The proposed solution is cost-effective, portable, and designed to function on smartphones or embedded systems like Raspberry Pi. The system aims to enhance independence, confidence, and safety for visually impaired individuals. Index Terms - Blind AI Assistant, Computer Vision, Object Detection, OCR, Text-to-Speech, Voice Assistant, Assistive Technology, Navigation System, Artificial Intelligence.

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Blind AI Assistant. Artificial Intelligence , Computer Vision, Object Detection, Optical Character Recognition (OCR) , Text-to-Speech (TTS) ,Speech Recognition, Voice Assistant ,Assistive Technology, Navigation System , Emergency Alert System , Smartphone-based AI Application Accessibility Technology , Visually Impaired Assistance.

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Mahajanapadas and the rise of Buddhism and Jainism: Republics, philosophical reforms and early state formations

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Mahajanapadas and the rise of Buddhism and Jainism: Republics, philosophical reforms and early state formations

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CampusConnect is an innovative AI-powered chatbot system designed to enhance the accessibility and efficiency of college information retrieval for students and visitors. The system integrates Retrieval-Augmented Generation (RAG) technology with natural language processing to provide accurate, context-aware, and document-based responses to user queries. It assists users in obtaining information related to admissions, courses, examinations, campus facilities, departmental details, and institutional policies through an interactive conversational interface. By combining vector embeddings, semantic search, and large language models, CampusConnect retrieves relevant information from official institutional documents and generates reliable answers grounded in authentic data. Unlike traditional static websites or basic rule-based chatbots, this system ensures higher accuracy and reduces the risk of misinformation. The platform is designed to be user-friendly, scalable, and accessible through web or hardware kiosk interfaces. It reduces administrative workload, provides 24/7 automated support, and improves the overall student experience. This AI-based solution aims to deliver a cost-effective, intelligent, and efficient information retrieval system tailored specifically for educational institutions.

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CampusConnect, Artificial Intelligence, Retrieval-Augmented Generation (RAG), AI Chatbot, Natural Language Processing (NLP), Information Retrieval, Large Language Models (LLM), Vector Database, Educational Chatbot, Student Information System.

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In Ayurveda, a woman's life span is divided into different stages, among which Vriddhavastha corresponds to the geriatric age group. This stage is comparable to menopause i.e, Rajonivrutti, during which Vata dosha becomes predominant. Due to this dominance of Vata, there is an increased susceptibility to Vataja disorders such as rukshata of the yoni, leading to symptoms like vaginal dryness, discomfort, itching -yoni kandu, dyspareunia, burning sensation- yoni daha and recurrent vaginitis. Yoni shaithilya which is commonly encountered condition which may result in urinary complaints like stress and urge incontinence which further contribute to increased frequency of micturition and recurrent urinary tract infections, with advancing age there will be weakening of supports of pelvic organs which increases the risk of genital organ prolapse. There are various therapeutic approaches to manage these gynecological disorders in Ayurveda, one among them is Sthanika Chikitsa i.e, local therapeutic measures such as Yoni dhavana, Yoni pichu, Yoni dhoopana, Yoni lepana, and Yoni purana which can be employed both as preventive and curative modalities in these gynecological disorders in menopausal women. It helps in relieving discomfort caused by rukshata and manages conditions like mahayoni associated with yoni shaithilya. Each type of sthanika chikitsa has its own clinical significance and demonstrates better outcomes like, it improves local circulation, enhances tissue nourishment, maintains vaginal health, alleviates symptoms like dryness, burning sensation, dyspareunia and recurrent infections. The use of medicated oils and gh?itas possessing snigdha, vatahara, rasayana, and balya properties supports tissue rejuvenation and slows degenerative changes. Sthanika chikitsa administered with appropriate indications, strict aseptic precautions, and due care when combined with shamana and rasayana therapies, offers a holistic, safe, cost-effective and beneficial in disease management in Menopausal women, thus it plays a crucial supportive role in improving physical comfort, psychological well-being and overall quality of life in postmenopausal women.

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 Keywords

Rajonivrutti, Post Menopausal women, Sthanika Chikitsa, Quality of life

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