Volume 11 | Issue 11

 Abstract

A human sound-based disease detecting system leveraging machine learning involves collecting diverse audio samples capturing specific human sounds related to diseases or health conditions. Through signal processing and feature extraction methods like spectrograms or MFCCs, meaningful features are derived from these audio signals. Supervised machine learning models, such as CNNs or RNNs, are trained on these extracted features to learn patterns and correlations between audio characteristics and particular diseases. After validation and performance assessment, the trained model is integrated into an application or system to analyze incoming audio input and predict potential diseases or health issues, and ethical use of health data remain pivotal throughout the development process. Employing signal processing techniques and feature extraction methods like spectrograms or MFCCs, the system abstracts meaningful patterns from the audio data. Through supervised learning algorithms such as CNNs or RNNs, the model learns to correlate these sound features with specific diseases during the training phase. Validation and fine-tuning ensure its accuracy and generalizability, following which it gets integrated into an interface for real-time audio input processing and disease prediction. Ethical considerations, data privacy, and collaboration among medical professionals and AI experts are essential throughout the development to responsibly deploy this system, potentially enabling early disease detection and remote healthcare accessibility

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sound detection,disease prediction,machine learning

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AN EXPRESSIVE STUDY ON CHILD HEALTH STATUS IN RAJASTHAN

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AN EXPRESSIVE STUDY ON CHILD HEALTH STATUS IN RAJASTHAN

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This study presents a comprehensive geographical analysis of underground water resources in Gurugram district, Haryana, India, spanning the years 2000 to 2020. Gurugram, a rapidly urbanizing region, has witnessed significant changes in land use, population, and economic activities during this period, which have put substantial pressure on its groundwater reserves. The research employs a combination of remote sensing, geographic information systems (GIS), and statistical techniques to evaluate the spatiotemporal trends in groundwater levels, assess the impact of urbanization and climate change, and suggest potential mitigation strategies. The study reveals a consistent decline in groundwater levels over the two decades, with the most significant depletion occurring in the urbanized areas. Land use changes, particularly rapid urban expansion. The analysis also highlights variations in groundwater levels across different seasons, with the monsoon season playing a crucial role in recharging aquifers. The research underscores the need for a holistic approach that integrates geographical data, remote sensing technology, and community involvement to safeguard Gurugram's underground water resources for future generations.This research aims to scrutinize the extent and pace of groundwater depletion in Gurugram district while also shedding light on the contributing factors and their impact on the local populace. The research conducted uncovered significant disparities in the magnitude of groundwater depletion among different blocks within the district.

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This study presents a comprehensive geographical analysis of underground water resources in Gurugram district, Haryana, India, spanning the years 2000 to 2020. Gurugram, a rapidly urbanizing region, has witnessed significant changes in land use, population, and economic activities during this period, which have put substantial pressure on its groundwater reserves. The research employs a combination of remote sensing, geographic information systems (GIS), and statistical techniques to evaluate th

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Abstract Women empowerment and bihar economic development are closely related :in one direction, development alone can play a major role in driving down inequality between men and women; in the other direction , empowering women may benefit development. Development policies and programs tend not to view women as integral to the economic development process. This is reflected in the higher investments in women's reproductive rather than their productive roles, mainly in population programs, yet women throughout the developing world engage in economically productive work and earn incomes. They work primarily in agriculture and in the informal sector and increasingly, informal wage employment, their earnings, however are generally low, since the 1950's , development agencies have responded to the need for poor women to earn incomes by making relatively small investments in income generating projects. Often such projects fail because they are motivated by welfare and not development concerns, offering women temporary and part-time employment in traditionally feminine skill such as knitting and sewing that have limited markets.by contrast , over the past twenty years, some non- governmental organizations, such as the self- employed women's association in india have been effective in improving women's economic status because they have started with the premise that women are fundamental to the process of economic development.

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Key words :- Women empowerment, Population, programs, informal sector, development agencies, income generating projects.

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Nature tourism is responsible travel to natural areas, which conserves the environment and improves the welfare of local people. It is tourism based on the natural attractions of an area. Biligiriranganabetta, popularly known as B.R. Hills in Yelandur Taluk, of Chamarajanagara District, Karnataka, is primarily a hilltop pilgrimage centre. Situated in South Eastern Karnataka, BR Hills or Biligiriranganatha Swamy Temple Wildlife Sanctuary is home to ecosystems that are unique to both the mountain ranges. Since it is located at the north-west of the Western Ghats and westernmost edge of the Eastern Ghats, it supports a diverse flora and fauna given the various habitats present. It is a pilgrimage site and derives its name from the Rangaswamy Temple located on top of a white cliff. The Temple is dedicated to Lord Ranganatha and the festivities in this temple during April attract a lot of tourists.

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Nature tourism, B R Hills, Mountain Range, pilgrimage, wildlife sanctuary.

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Many individuals facing neurological disorders or paralysis from accidents encounter difficulties using computers for tasks like messaging, web surfing, and entertainment. Recent research indicates that due to the natural movement of eyeballs during computer interaction, they present an ideal option for universal computing. It suggests the possibility of re-enabling computer usage for such patients by utilizing information derived from eye movements. Our proposal advocates for a completely eye-controlled mouse gesture system. The project's goal is to develop an open-source, free eye-controlled gesture control system that precisely tracks eye movements, enabling users to perform computer-related activities through specific eye motions or gestures captured by the computer webcam. The system identifies the user's pupil on the face and monitors its movements in real-time for comfortable use.

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Eye Controlled, mouse gesture, motion, pupil, interaction, neurological disorder

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ABSTRACT: Pain and discomfort are among the most frequent side effects of orthodontic therapy. Patients who have orthodontic pain are more likely to self-medicate with over-the-counter medications before seeing a dentist. An orthodontist must respond to questions that may arise in a clinical setting by considering the viewpoints of the physicians and the parents/patients.The mechanical stresses placed on the teeth and supporting tissues during orthodontic treatment are the main cause of orthodontic pain. It can be divided into two categories: chronic pain that may last the entire course of treatment, and acute discomfort that occurs after orthodontic modifications. Different patients have different expectations about how painful orthodontic treatment will be, so it's important to appropriately address and manage these concerns. This literature review's primary goal is to go over both contemporary as well as conventional ways of managing pain during orthodontic treatment.

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Keywords: orthodontic pain, acute and chronic, self-medicate, mechanical stresses.

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We are using Machine learning (ML) to predict concrete strength using various input parameters. This study uses a large dataset from several construction projects and various ML algorithms, such as multiple linear regression (ML), decision trees (ML), random forests (ML), support vector machines (SVM), and artificial neural networks (ANN). The results demonstrate high accuracy levels with the ANN model having the highest performance. The implications of this study for the construction industry are to streamline the design process, reduce reliance on laboratory testing and optimize material usage while meeting safety standards and reducing costs. However, there are limitations, such as dataset size, real world conditions, and fine-tuning. Hyperparameter tuning uses random search to train models with higher predictive performance. The missing data is filled with the average of the data available, allowing for more data to be included in the training. Comparative studies on two well-known compressive datasets of tensile strengths and high performance concrete suggest that the current approach is significantly improved in terms of prediction accuracy as well as computational effort. According to comparative studies, for this specific prediction problem, GBR and xGBoost-trained models perform better than models based on SRV and MLP

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Concrete Strength Prediction , Machine Learning , Regression Models , Artificial Neural Networks , Predictive Analytics ,Building Materials

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Ayurveda has blessed us with multiple, effective harmless treatments and medications. Among them Viddha Karma is a unique treatment of Ayurveda which gives instant relief and disease management. Viddha Karma is one among the Shastra Karma as explained in Brihatrayee, Laghutrayee and other classics. It is the treatment of puncturing or piercing certain points that reduce pain. It removes the obstruction of the blood vessels and establishes the circulation by clearing Srotas and stimulation to sensory fibers from peripheral receptors reduce the transmission of irritating signals from the affected area is the main mechanism of action of Viddha Karma.

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Ayurveda, Viddha Karma, Shastra Karma, Brihatrayee, Laghutrayee, Puncturing, Receptors, Sensory fibers, Stimulation etc.

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It can be challenging to secure the cyber physical systems (CPS) that underpin the Internet of Things (IoT) since security measures taken into account for general information and technology operations (IT/OT) might not function well in a CPS environment. In this paper, we suggested an automatic cyber attack detection and classification framework based on machine learning. For the purpose of ensuring the safety of Internet of Things use cases, it employs a variety of machine learning models. Learning Based - Cyber Attack Detection(LB-CAD) is the approach we suggested. The input of the algorithm consists of an ML pipeline and an IoT integrated use case dataset. Proposed methodology to train classifiers, and subsequently use the generated models to identify and categorize cyberattacks automatically. An empirical investigation is utilized to assess our methods. Performance results revealed that the ML models are capable of detecting and classifying cyber-attacks. In case of binary classification, LSTM(LONG SHORT - TERM MEMORY) showed highest accuracy 78.36%. For multi-class classification K-NN showed highest performance with 82.10% accuracy.

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Machine Learning, Cybersecurity, Internet of Things, Binary Classification, Multi-Class Classification

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The value of education cannot be underestimated. Literacy is a bridge from misery to hope. Literacy is a fundamental human right and foundation for lifelong learning. It is important to social, human and educational development in its ability to transform lives. A literate society is core of developing a society free of poverty. As per Population Census of India 2011, Literacy rate of India has shown an improvement of almost 9.2%. It has gone up to 74.04% in 2011 from 65.38% in 2001, thus registering an increase of over 9% in last 10 years. The nation suffers from a wide gender disparity in literacy rate i.e. 82.14% for men and 65.46% for women. This study intends to bridge the gap in literacy through formulating an approach that can enhance the level of literacy of the district Barabanki and solve the problems by adopting an innovative initiative to drive economic growth.

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Literacy rate, Educational development and disparity, Gender Gap and Disparity Index etc.

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The purpose of this study is to investigate the factors affecting the decision of buying mobile phone devices in Bengaluru. In order to accomplish the objectives of the study, a response of 103 users were taken by using a google form questionnaire/ survey. Both primary and secondary data were explored. Moreover, 6 important factors namely price, social group, product features, brand name, durability, and after sales services were selected and analyzed through the use of correlation and multiple regressions analysis. From the analysis, price, and brand name and after sales services are regarded very important by the users. Most of them are using their phones for about 2-4 years and they buy phones mostly if there is a necessity. So, the study suggested that the mobile phone sellers should consider the above mentioned factors to equate the opportunity.

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Consumer buying behavior, consumer satisfaction, mobile brands, price, promotion, brand preference, consumer purchase decision.

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This study explores the role of the federal government in policing in Pune, India. The study is structured around three primary objectives. First, it delves into the histoire of the federal government, and its role to improve and coordinate policing in Maharashtra when special reference is given to Pune region. Here, it traces the development of the involvement of the federal government over time and the pivotal historical reforms that have contributed to its evolution. Second, it analyses the impact of the federal government's policies, and its interventions on the efficiency and effectiveness of policing in Pune by shedding light on the specific measures, outcomes, as well as the challenges faced by a city to associate with the federal norms in the era of technology and post-modernistic culture. Lastly, the paper identifies and characterizes the key stakeholders engaged in the federal government's policing efforts in Pune, elucidating their roles, responsibilities, and their influence on policing strategies and outcomes. Through a meticulous synthesis of existing literature; especially the selected works of Salil Desai, this paper strives to contribute to understand the impact of role of the federal government in policing within the unique socio-political context of the Pune region and the difficulties faced by the state government to handle cases, despite appropriate assistance given by the central government.

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Keywords: Federal government, Pune, Histoire of Federalism of Policing at Pune, Salil Desai

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In today's increasingly digital world, the verification of documents and identities is paramount across a multitude of industries, from finance and healthcare to legal and education. Traditional methods of document verification often involve timeconsuming and costly processes, which are vulnerable to fraud and data breaches. To address these challenges, blockchain technology has emerged as a revolutionary solution, offering a decentralized, secure, and tamper-proof platform for digital document verification.This paper explores the concept of Digital Document Verification using blockchain technology. It delves into the fundamental principles of blockchain, emphasizing its distributed ledger architecture and cryptographic security features, which are crucial for building trust and ensuring the integrity of verified documents. Furthermore, this research elucidates how blockchain's immutability and transparency contribute to a robust framework for document verification. 1. Identity Verification: Blockchain enables the creation of immutable digital identities, making it possible to securely verify individuals' identities without the need for centralized intermediaries. Supply Chain Documentation: Businesses can track and verify the authenticity ofsupply chain documents, such as invoices, contracts, and shipping records, reducing fraud and errors.

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Supply Chain, Blockchain, Document Verification, Decentralization.

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Schizophrenia is a complex and debilitating mental health disorder that affects millions of individuals worldwide. Managing and recovering from schizophrenia is a multifaceted challenge that involves various factors. This article delves into the pivotal role of family and social support in the lives of individuals living with schizophrenia. By investigating the impact of these support systems on the management and recovery process, we aim to shed light on the importance of a strong support network for those facing this condition. The article reviews the existing literature, examines the challenges and benefits of family and social support, and discusses the implications for improving the quality of life for individuals living with schizophrenia.

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schizophrenia.

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The purpose of this study was to find out the mean difference between Working and Non-working women in life satisfaction and mental health. The total sample consisted of 200 women taken as a sample from Nanded district. The research tool for mental health was measured by Dr. Kamlesh Sharma and Dr. B. R. A Research institute Indore and for Life Satisfaction scale by Q. G. Alam and Ramji Srivastava is used in the study. the 't' test was applied to check the significance level of mental health and life satisfaction in working and non-working women to check the correlation method used. Results revealed a significant difference in mental health and life satisfaction with respect to both working and non-working women on life satisfaction and mental health.

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Women's, Life satisfaction, Mental health

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ladsr 'kCn& laLd`fr] vlfg".kq] izek.k] fo'o] Hkkjrh;

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The United Nations Security Council (UNSC) has been of unique significance and authority in serving the conservation of international peace and security, which puts it in a position integral to the functioning of international law and international relations. Yet, it is extensively viewed as having had a mixed track record. At a time when the Security Council is considered to have played a very critical role in remedying some transnational issues, it is also viewed to have failed in dealing with several countries. Such a breakdown is considered by many to be a direct result of the decision-making methodology of the council, explicitly the veto power granted to the permanent members of the Security Council. Therefore, such power has been the subject of frequent calls for Security Council reforms, which in some cases presented its abolition as one of the options to deal with what they deem as dysfunctions of the council. This paper attempts to address the debate concerning veto power by outlining its justification and analyzing both sides of the debate in relation to its reform. It attempts to present a common ground for veto reform that could be more viable for implementation in the presence of diverse obstacles in the current dynamics of international relations.

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United Nations, Security Council, Veto, Permanent Members.

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Lip Reading Recognition System is a technology that uses Artificial Intelligence to recognize words or speech by visual interpretation of face, mouth and lip movement without involvement of audio. Imagine you are talking to someone, and they can't hear what you're saying. They might try to understand your words by watching how your lips move. That's called lip reading. This task is difficult as people use different dictions and various ways to articulate a speech. The system works by using a camera to capture a video of a person's face while they are speaking. It's like a recording a video of their lips moving. The video is then analyzed by an AI algorithm that can identify lip movements, extract features, train the classifier by giving user's lip movement frames sequences as input and will identify said word and finally translate them into words. It's not always perfect, but it's often quite accurate. This can help deaf and mute individuals in understanding spoken language through visual cues of the speaker's lips and addressing communication barriers in their daily lives. It can also be used to improve privacy and security in applications for detecting suspicious behavior. The survey focuses on deep learning related approaches such as convolutional neural networks (CNN) [6], recurrent neural networks (RNN) [15] and their variants which have been proven to be more fruitful for both feature extraction and classification. This paper provides comparisons of different audio-visual databases, various algorithmic techniques by highlighting their accuracies, feature extraction methodologies and classification networks.

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CNN , 3DCNN , Machine Learning , LRW

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Artificial intelligence developments are assisting researchers in finding solutions to challenging issues, such programming video game automobiles to drive themselves. In this work, computer characters were taught to race on a virtual track using the learning method known as reinforcement learning utilizing specialized software called Unity ML-Agents. We experimented with various training techniques for these computer characters and discovered that Proximal Policy Optimization was the most effective. With relatively little error, our computer-generated figures were able to race around the course using this technique. Then, we added barriers to the track, such as barrels and cones, and trained our computer-generated characters to avoid these barriers using a distinct technique called behavioral cloning. This strategy actually worked.

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reinforcement learning; autonomous driving

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