Volume 12 | Issue 10

 Abstract

Abstract: The provision of a storm water management system in Ichalkaranji addresses critical challenges associated with urban flooding, water quality degradation, and environmental sustainability. This study examines the existing conditions and evaluates the potential benefits of implementing an effective storm water management framework in selected areas of the city. Through data collection, community engagement, and analysis of hydrological patterns, the research identifies key areas vulnerable to flooding and pollution. The proposed system includes a combination of green infrastructure solutions, such as permeable pavements, rain gardens, and retention basins, aimed at enhancing water absorption and reducing runoff. The findings highlight the importance of sustainable practices in urban planning, emphasizing the need for a collaborative approach involving local authorities and residents. Ultimately, the implementation of a storm water management system in Ichalkaranji is projected to improve flood resilience, enhance water quality, and contribute to the overall sustainability of the urban environment.

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STROM WATER MANAGEMENT SYSTEM

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The Complete Blood cells count has an important role in medical diagnosis to check common fitness conditions. Blood cells are traditionally counted using Hemocytometer with laboratory compounds and chemical compounds. It is so time consuming. In this paper, we propose a deep learning neural network based architecture to accurately detect and count various types of blood cells (RBCs, WBCs, Platelets, etc.). The Convolutional Neural Network is used for classification and ResNet is used for feature extraction and improving the accuracy of blood cells counting. ResNet algorithm gives about 99% accuracy which is very good

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Blood cells, ResNet, Deep learning, Convolutional Neural Networks, blood cell count, machine learning, image classification, image processing, blood cells detection.

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The malaria disease is critical because it is caused by the Plasmodium species and transmitted by infected mosquitoes. Prompt and accurate diagnosis plays a major role in reducing the transmission of malaria and controlling severe cases, enabling proper treatment policies. [1], [2]. While the classical approaches require microscopy, molecular techniques such as PCR and LAMP offer increased sensitivity but are mostly out of reach in resource-constrained settings due to their complexity [3]. The designed paper-based microfluidic device was found to function with malaria DNA. The above-designed aim has been achieved by the integration of a lateral flow strip, which makes DNA amplification happen in an uncomplicated, inexpensive, and portable manner. We used the oriented Finite Element Method to simulate the optimised regions in the microfluidic device that capture the DNA followed by a washing and reaction process [4]. These tests were conducted at the laboratory scale using samples of blood, washing buffer Tris, and TE buffer. The experiment did efficiently demonstrate the capability for efficient capillary flow, fluid management, and accurate DNA amplification, the promise of paper-based devices in enhancing diagnostic tools within a resource-constrained environment [5], [6].

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Malaria diagnosis, microfluidic device, paper-based biosensor, MOFEM, lateral flow strip, DNA amplification

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the key physical properties of semiconductors, including their band structure, optical processes, and transport. It also discusses the applications of semiconductors, such as diodes, transistors, solar cells, and light-emitting diode. discusses the different properties of semiconductor materials that are required for different types of solid state sensors. It also discusses the materials that are used for these sensors, including silicon, germanium, and various compound semiconductors. discusses the fundamentals of semiconductors, including the classification of electrical and electronic materials, and the different types of semiconducting materials. It also discusses the latest developments in the field of semiconducting materials, including spintronic materials, ferromagnetic semiconductors, and wide bandgap semiconductors. the subsequent rapid advances in materials, techniques, and understanding. It also discusses the future of semiconductor devices, including how they will be shaped by the materials used and the constraints they impose on speed, power, and impedance. Semiconductors are defined to possess conductivity in between a nonconductor and a conductor. Because of this property, semiconductors are quite common on a daily basis in electronics since they probably won't short circuit like a conductor. They get their characteristic conductivity from their small band gap.

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Semiconductor Material , Cubic, Diamond, Crystal Stucture

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Artificial Intelligence(AI), Artificial Neural Networks(ANN), Support Vector Machines (SVM), fuzzy logic.

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Stress is a pervasive and debilitating condition affecting millions worldwide; impairing physical and mental health .Stress has become a ubiquitous aspect of modern life, affecting individuals from all walks of life. This review explores the prevalence, causes, and consequences of stress in daily life. Chronic stress triggers hypothalamic-pituitary-adrenal axis activation, releasing cortisol and adrenaline, leading to Anxiety and depression, Sleep disturbances, cardiovascular disease, Weakened immune function, Digestive disorders, Cognitive impairment.

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Stress, mindfulness, anxiety, depression, Homoeopathy, holistic

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After becoming Prime Minister of India, Narendra Modi launched significant efforts to strengthen India's position in South Asia and expand its influence in the Indian Ocean region. Central to this strategy is the "Neighbourhood First Policy," which serves as a cornerstone of India's foreign relations framework. This paper aims to analyze the implementation of the "Neighbourhood First Policy" by examining bilateral relations between India and its neighboring countries, utilizing both historical and logical research methods within the field of international relations. While the policy has aimed to foster stronger ties, it encounters challenges, particularly from China's growing influence and ongoing border disputes that contribute to regional security concerns, including recurrent terrorist incidents. Despite these obstacles, the "Neighbourhood First Policy" has facilitated improved connections between India and its South Asian neighbors, reflecting Modi's commitment to enhancing bilateral relationships and regional connectivity.Looking ahead, the trajectory of the "Neighbourhood First Policy" is expected to evolve, with the potential for greater success in future phases as India navigates the complexities of its regional dynamics.

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Neighbourhood, Narendra Modi, International Relations, Foreign Policy

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In recent times, as technology progresses, humans have opted for process automation to facilitate their job and lives. A face is an essential element of the human anatomy as it is the unique part of the body which can classify individuals separately. Face recognition systems may be created by exploiting facial features as a biometric identifying component. Regular monitoring of attendance is the most time-consuming duty in any company or organization. The main aim of this journal is to provide a feasible "Smart Attendance Tracker" that is operated on a 'Small form factor' hardware to get optimum efficiency out of the system. An Open CV-based facial recognition approach has been proposed as a workable solution. A Raspberry Pi running the Python script and an external Web camera is used to concurrently monitor attendance and update the following values in a Comma Separated Values (.csv) file. The CSV file acts as a dataset for the Mobile Application to display the attendance of people and other parameters.

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Attendance Tracking, Raspberry Pi, Kotlin, Python, Cloud Storage, OpenCV

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This research paper explores the development and application of AI-based image captioning This systems. These systems leverage advanced deep learning techniques to automatically generate descriptive text for images, bridging the gap between visual and textual information. The paper delves into the core concepts, benefits, and challenges associated with image captioning, highlighting its potential to revolutionize various fields, including accessibility, search engine optimization, and human-computer interaction.

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CNN, Human- PC interaction, etc.

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This review explores the evolving relationship between craftsmanship, fashion, and technological progress, offering a nuanced understanding of how innovations have reshaped the fashion industry. The integration of technology into fashion has improved production quality and efficiency, enabling precise, scalable manufacturing processes and fostering global connectivity. However, this progress comes with challenges. Traditional craftsmanship faces threats such as cultural homogenization, artisanal displacement, and environmental concerns. Yet, technology also presents unique opportunities for growth and development, including digital archiving of cultural heritage, sustainable production practices, and the creation of innovative materials. The review highlights the economic and social benefits of this intersection, particularly for local communities. By embracing technology, artisanal crafts can reach new markets and create employment opportunities, driving economic growth. Additionally, technological advancements in sustainable production methods can alleviate the environmental impact of fashion, contributing to global efforts toward sustainability. The value of workmanship, especially in maintaining national identity and regional traditions, is also underscored. As technology enables the preservation of traditional techniques through digital platforms, communities can maintain their cultural legacy while exploring new avenues for innovation. Ultimately, the findings emphasize the need for collaborative efforts between policymakers, educators, and industry leaders to ensure a future where craftsmanship and technology coexist harmoniously. Striking a balance between innovation and tradition is crucial for promoting sustainable fashion practices, preserving cultural heritage, and empowering local communities. The debate between technology and craftsmanship not only extends the fashion industry's creative possibilities but also reinforces its social and cultural relevance, ensuring a more equitable, sustainable, and culturally rich future.

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craftsmanship, fashion, technology advancement, sustainability, cultural heritage, artisanal production.

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MACHINE LEARNING TECHNIQUES.

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DATA SCIENCE

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This project aims to develop a voice-activated smart virtual assistant that leverages advanced machine learning, speech recognition, and other emerging technologies. The primary objective is to enhance user convenience by providing personalized responses, insightful recommendations, and efficient task handling. Beyond basic functionalities like setting reminders and managing appointments, this assistant will be capable of making calls, sending messages, and controlling smart home devices. Additionally, it will provide users with real-time information on weather updates, news, sports scores, and more. With support for multiple languages and contextual memory of past interactions, the assistant will offer a smooth, intuitive experience, adapting to individual user preferences through continuous learning. Ultimately, this project envisions a highly responsive, hands-free virtual assistant designed to transform user interaction and task management.

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Voice-activated virtual assistant, Machine learning, Personalized recommendations, Natural language processing (NLP), Speech recognition

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Mathematical modelling is the process of creating a mathematical representation of a system to gain insight into or understand its behavior. It is a powerful tool used to develop and refine solutions to real world problems. Mathematical modelling is used in a wide variety of disciplines, such as engineering, economics, biology and many more. The process involves constructing a mathematical model, which is a combination of equations, variables and parameters that describe the system.

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mathematical modeling, Statistical System, dynamics, Agent based modelling.

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The growing interest in intelligent chatbots has surged in recent years, driven by advancements in artificial intelligence algorithms. This has led to numerous studies exploring emotional transitions and dialog structures. One notable application is in the medical field, where chatbots can assist with psychological assessments, clinical counseling, autism diagnostics, and complex cognitive modeling. However, a common limitation of many chatbots is their reliance on web-based information repositories. While these sources provide reliable information, they often lack the nuanced emotional understanding necessary for meaningful interactions. This paper aims to address this gap by developing an intelligent chatbot that leverages natural language processing and the Telegram API.

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Telegram API, chatbot, natural language processing, emotion

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The paper extensively addresses numerical adaptation words inherent in translation, exploring techniques to preserve original numeric nuances in literary texts. It delves into assessing numeric aspects within individual translations, utilizing quantitative data from corpus linguistics. The focus centers on numerical adaptation words translation issues, specifically examining the novels "Red Tea and Eiyum Panikkadu".

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numerical words, translation, linguistic perspective, Tamil version, syntactic approach, adjectives

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This paper explores the application of predictive modeling in election polls, using machine learning techniques to forecast outcomes based on historical data and voter behavior patterns. Models like logistic regression and neural networks are evaluated for their accuracy in dynamic electoral environments. Additionally, the study emphasizes the importance of data security in safeguarding election integrity, discussing methods like encryption and blockchain for protecting poll data and voter information. The research highlights how combining prediction models with robust security measures can ensure accurate, secure, and trustworthy election results.

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Machine Learning, Encryption, Voter Behavior, Blockchain, Electoral forecasting, migitating risks.

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The exponential rise of mobile devices has significantly increased the attack surface for malicious activities, particularly on the Android platform, which is the most widely used mobile operating system globally. As cyber threats evolve in sophistication, traditional signature-based malware detection techniques struggle to keep up. This paper proposes an advanced approach combining Genetic Algorithms (GA) and Convolutional Neural Networks (CNN) to enhance Android malware detection capabilities.Experimental results demonstrate the proposed model's superior accuracy, precision, and recall compared to traditional methods. By harnessing machine learning techniques, specifically the optimization power of GA and the deep learning capabilities of CNN, this study paves the way for more effective and adaptive Android malware detection systems, capable of combating emerging cyber threats in real-time

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Component, Formatting, Style, Styling, Insert

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The safety of women remains a critical concern worldwide, with incidents of violence and harassment persisting despite societal advancements. This research paper outlines the design and implementation of a mobile application aimed at enhancing women's security using Android Studio. The application incorporates features such as emergency alerts, location tracking, and community support systems, providing a comprehensive tool for personal safety.

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Women Security using Android

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Natural rubber is the dominant cash crop of Tripura. Proper application of fertilizer namely nitrogen, phosphorus and potassium are necessary for the soil to increase the production of latex. So, nutrient management of fertilizers used for rubber plantation is vital part for the production. In the paper of Sen & Nandi(2012), a mathematical model was formulated. In this paper I try to consider four cases changing basic structure of the model and a comparative study is made for nutrient management of fertilizer.

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Fertilizer combination, model, goal programming, priority factors, optimization.

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HarmoniHer is a thoughtfully designed mobile health app that empowers women to take charge of their health, especially when it comes to managing PCOS and PCOD naturally. Using machine learning, the app creates tailored lifestyle, exercise, and diet plans that reflect each woman's unique needs and goals. Beyond being a PCOS/PCOD tool, HarmoniHer is built to walk alongside women through all stages of life, offering support for period tracking, menstrual health, menopause management, and fertility planning--all crafted to make users feel truly seen and supported.With a warm, holistic approach, HarmoniHer seeks to give women confidence in their health choices and the comfort of having a personalized wellness companion. It's not just about managing health; it's about fostering a deep connection with one's body and creating a journey toward feeling empowered and in control

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Creative Commons Attribution 4.0 and The Open Definition

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PCOS/PCOD, Women's Health, Machine Learning, Personalized Health Plans, Lifestyle Management, Period Tracking, Menstrual Health, Menopause Management, Fertility Support.

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Creative Commons Attribution 4.0 and The Open Definition