Volume 13 | Issue 10 |

 Abstract

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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 Keywords

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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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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 Keywords

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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 Keywords

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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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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Kaseesa is one of the iron compound which is explained in Rasashastra under Uparasa group. It is identified as iron sulphate or ferrous sulphate, also known as green vitriol. It can be synthetically prepared in the lab, which is called as artificial kasees or kritrima kaseesa. Regarding these references are noted in the Rasagranthas like Rasatarangini. Shudda Loha Churna, Sura (ethanol) and diluted Gandhakamla (Sulfuric acid) are using for the preparation of artificial Kaseesa. Method of preparation is according to Rasatarangini 21st Taranga 234 to 239th shloka. Shudda Loha Churna and Diluted Gandhakamla (Sulfuric acid) with distil water (that is 1:9 respectively) are collectively taken in beaker. There will be exothermic reaction between Iron and diluted sulfuric acid leading to changes in color and Physical appearance of artificial Kaseesa can be observed in the beaker was noticed. shudda Loha Churna used for the preparation of Artificial Kaseesa is about 60gms and final quantity of artificial Kaseesa we got is about 58.620gms, and diluted sulfuric acid used is 220ml and filtration of mixer of diluted sulfuric acid and Shudda Loha Churna is about 180ml and ethanol used for the preparation of artificial Kaseesa is 180ml that is equal to filtrate.

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Kaseesa, Shudda Lohachurna, Dilution of sulfuric acid, Ethanol, artificial preparation of Kaseesa.

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The Code of Civil Procedure, 1908 (CPC), is one of the most important procedural laws in India. It provides the framework for the fair and efficient resolution of civil disputes. Among its various provisions, the right to appeal is one of the most vital. An appeal gives a party the right to approach a higher court if they are dissatisfied with the decision of a lower court. It ensures that no injustice remains uncorrected and that judicial errors, whether of fact or law, can be reviewed and rectified. However, the appeal process also has its drawbacks. It can lead to long delays in justice, increase litigation costs, and cause backlog in courts. Despite this, appeals remain a cornerstone of natural justice and the rule of law. Here we will discuss in detail the concept, nature, and types of appeals under the Code of Civil Procedure, 1908. It explains the statutory framework, constitutional connection, important case laws, challenges faced by the appeal system, and possible reforms to make it more effective. The study concludes that while appeals are necessary for justice, they must be regulated to ensure speedy and fair adjudication.

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Appeal, Civil Procedure Code, Judiciary, Justice, Substantial Question of Law, Right to Remedy, Natural Justice, Delay, Frivolous Litigation, Access to Justice.

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Through this secondary data-based research article, the author hopes to highlight the identification and analysis of new NPA patterns as well as a detailed study of the Insolvency & Bankruptcy Code, 2016. The impact of IBC, 2016 in India is the main subject of the research. Key IBC provisions and the introduction of NPA are covered in the work. Specialized literature was chosen and employed for research, which gives the idea more vitality. Research papers, publications, and webpages are examples of secondary data. Because of its direct connection to SBI, the case study of Bhushan Steel, which was bought by Tata Steel, has been elevated on purpose. Additionally, IBC's quantitative and qualitative analyses were discussed. The effectiveness of IBC as a remedy for non-performing assets (NPAs) and emerging trends in NPAs were succinctly described. At the conclusion of the study, a diagrammatic depiction was used to show the effects of insolvency and bankruptcy in India. A few shortcomings of the IBC Act were also mentioned in the conclusion, along with the use of the BIFR Act of 1985 and the SARFAESI Act of 2002.

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Quantitative and Qualitative analysis, IBC Act, Emerging trends of NPAs, BIFR Act, 1985, SARFAESI Act, 2002.

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