Volume 13 | Issue 10 |

 Abstract

This paper presents an innovative approach to optimize water usage in agricultural settings. This study explores the integration of Internet of Things (IoT) sensors and artificial intelligence (AI) algorithms to create a dynamic, data-driven irrigation management system. The proposed system utilizes a network of soil moisture sensors, weather stations, and crop-specific data to continuously monitor field conditions. AI algorithms process this real-time data to generate precise irrigation schedules and recommendations, adapting to changing environmental factors and crop water requirements. The paper focuses the system architecture, sensor deployment strategies, and machine learning models employed for decision support. This research contributes to sustainable agriculture practices by offering a scalable solution for efficient water management in farming, addressing the critical challenge of water scarcity in agricultural production.

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 Keywords

Water conservarion, Smart Irrigation, Farming. IoT, Artificial Intelligence

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Keywords: Green formulation, polyherbal gel, essential oils, pain management, anti-inflammatory, analgesic.

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Gridhrasi, is one of the Nanatmaja Vatavyadhi described in Ayurveda, is characterized by pain, stiffness, and radiating discomfort from the sphik (buttock) down to the pada (foot). The symptomatology resembles Sciatica in modern medicine, typically associated with lumbar disc herniation and nerve-root compression. Contemporary management includes analgesics, muscle relaxants, steroids, and surgical decompression in refractory cases, but these carry risks of recurrence, dependency, and adverse effects. Ayurveda provides both Shodhana (purificatory) and Shamana (palliative) modalities for Gridhrasi. Among these, Viddhakarma (therapeutic puncturing with needles) and Rasnadi Gutika (a classical formulation from Chakradatta) have shown notable results. Viddhakarma provides rapid symptomatic relief through Srotoshodhana and Vata Shamana, while Rasnadi Gutika -composed of Rasna,Guggulu, and Ghrita-addresses the root pathology by correcting Vata-Kapha Dushti and nourishing tissues. This review explores the classical foundations, pharmacological basis, probable mode of action of both therapies, emphasizing Viddhakarma as a minimally invasive and proposed Ayurvedic procedure for Sciatica.

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Gridhrasi, Sciatica, Viddhakarma, Rasnadi Gutika, Ayurveda

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Electronic waste (e-waste) has emerged as one of the fastest-growing global waste streams due to rapid digitalization and shorter product lifespans. Improper disposal practices lead to severe environmental and health hazards, especially in countries like India, where the informal recycling sector dominates. This paper proposes a reward-based e-waste collection system that encourages consumers to participate in formal recycling through digital incentives and tracking mechanisms. Leveraging technologies such as IoT, blockchain, mobile applications, and cloud-based analytics, the framework ensures transparency, traceability, and user engagement. The study also examines global best practices, economic and social impacts, and provides policy recommendations to promote sustainable e-waste management within India's socio-economic context.

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E-waste management, Reward system, Circular economy, Blockchain, IoT, Sustainability

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 Abstract

Chatbots and voice assistants have slowly become more than a mere experiment and are now considered a part of service marketing. They enable the brands to be available wherever they need and collect a wealth of information on behaviour which can be used to personalise the interactions. Nevertheless, a lot of organisations are still apprehensive since the consequences on customer experience cannot always be foreseen. This review is based on the results of thirty-four studies and industry publications (2018-2025) to gain knowledge about the strong and weak aspects of human-AI service encounters. Based on the Technology Acceptance Model and the concepts of Relationship Marketing, the study points out evident benefits: conversational systems, when designed in a sensible way, have the potential of boosting the level of engagement and boosting the degree of satisfaction, in addition to improving the rates of click-throughs. Nevertheless, the same literature constantly singles out such risks as trust, privacy, authenticity, fairness, and the resilience of digital operations. To manage such challenges, firms are advised to go transparent in their data practices in active consent, create hybrid service strategies where sensitive issues are addressed by human employees, and carry out regular audits to observe bias and communication standards. Moving forward, it is noted that more extensive, multi-platform studies are necessary that would be able to capture the impact of these interactions on the loyalty and the brand value in the long term. An even-handed strategy between innovation and accountability will eventually enable firms to provide efficiency in digital service provision without fully neglecting the ethical responsibility.

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Creative Commons Attribution 4.0 and The Open Definition

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In this research paper, a detailed overview of Edge Artificial Intelligence (Edge AI) is given in which processing capabilities of AI are embedded into edge devices near the sources of data generation. This paper discusses the history, processing models, and implementations of Edge AI in a variety of industries and how it can support real-time and low-latency decision-making as well as minimize bandwidth reliance and improve data privacy. The paper also explores resource limitation, security vulnerability and scalable issue as some of the major challenges that limit the implementation of Edge AI at present. Moreover, the future research directions are outlined, such as improved specialized hardware, lightweight, and adaptable AI models, federated learning, strong security frameworks, and edge-cloud infrastructure coordination. It will be used to guide continued innovation and deployment of Edge AI technologies to develop smarter, more efficient, and privacy-vaulting intelligent systems, and revolutionize industries and make AI-driven applications ubiquitous.

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 Keywords

EdgeAI, Edge Computing, Artificial intelligence, Internet of things(IoT), Network Edge

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In recent years, the demand for intelligent systems capable of rapidly and autonomously adapting to new tasks and environments has accelerated the development of meta-learning frameworks. Between 2024 and 2025, the field has seen substantial innovation, particularly in the design of meta-learning frameworks for adaptive automatic adaptation. These frameworks aim to enable machine learning models to generalize from prior experience and automatically adjust to unseen tasks with minimal data and computation. Unlike traditional learning paradigms that require extensive retraining, meta-learning provides a mechanism for "learning to learn," where the adaptation process itself is optimized during training.

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Meta-learning, Adaptation, Automatic Learning, Few-shot Learning, Continual Learning

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Artificial Intelligence (AI), has become prevalent in every sector. Healthcare industry is also advancing their techniques by using Artificial Intelligence (AI) algorithms. From designing a drug in laboratory to predicting the approval of a drug for its marketing, artificial intelligence is playing a significant role. Although, AI was considered as a science fiction stuff, a flood of innovations and inventions based on Artificial Intelligence (AI) were beyond the boundaries of possibilities in medicine. In current scenario, Artificial Intelligence is more than just a burgeoning technology. 'No one can predict the future' is not the reality in the current scenario. In the Healthcare sector, Artificial Intelligence is working as a myth buster by predicting the drug approval from past data in the supervision of the experts. In future, we can expect a complete reliance on this technology for the new drug approval with accuracy, precision and safety. In this extract, significance of artificial intelligence in drug approval prediction is taken into consideration. In addition, new insights on future implications of artificial intelligence in making life healthier are also discussed.

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Artificial Intelligence, Machine Learning, Algorithms, Prediction, Drug Approval, Drug Development, Drug Discovery, Healthcare Technology

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Mosquito-borne diseases remain a significant public health concern globally, necessitating the development of effective, safe, and eco-friendly mosquito control strategies. The present study focuses on the formulation and evaluation of a polyherbal mosquito repellent dhoop using natural plant-based ingredients with proven repellent properties. Herbal components such as Azadirachta indica (Neem), Vitex negundo (Nirgudi), camphor was incorporated into a combustible base composed of Rice husk powder. These ingredients were selected based on their traditional and scientifically validated mosquito repellent activity.The formulated dhoop were prepared by blending the herbal powders with water molding them, followed by shade drying. Evaluation was conducted based on parameters such as burning time, smoke consistency, organoleptic properties, and repellent efficacy was determined based on public responses to questionnaire. The results indicated that the polyherbal formulation exhibited significant repellent activity, comparable to commercial mosquito repellents, while offering the advantages of being biodegradable, non-toxic, and free from synthetic chemicals.[1]

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Mosquito Repellent, Incense stick, Herbal, Neem, Nirgudi, Camphor, Ricehusk

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Hepatitis is an inflammation of the liver parenchyma that is mostly brought on by viruses and other elements. A headache, myalgia, arthralgia, nausea, anorexia, dark urine, yellow colouring of the skin, mucosa, sclera, and other tissues are some of the symptoms of this non-specific prodromal sickness.

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Hepatitis B, Nucleoside analogues, Hepadna viruses, Viral hepatitis, Hepatitis

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Creative Commons Attribution 4.0 and The Open Definition