Volume 12 | Issue 4 |

 Abstract

This research paper investigates the living conditions and quality of life in Kanpur City's slums. Through a combination of surveys, interviews, and observations, the study explores aspects such as housing quality, access to sanitation facilities, waste management practices, water and electricity availability, and infrastructure services. It also examines socioeconomic factors such as income levels, employment opportunities, and economic challenges, as well as access to education, healthcare services, and the presence of social issues such as crime and community cohesion. Findings indicate that slum residents in Kanpur face numerous challenges including overcrowded and substandard housing, limited access to sanitation facilities, and inconsistent access to clean water and electricity. Economic instability, low literacy rates, and restricted access to healthcare contribute to poor quality of life. Crime and safety issues further exacerbate these challenges, affecting residents' sense of security and well-being. The paper presents potential solutions such as housing and infrastructure upgrades, vocational training, and improved access to basic amenities and healthcare. Policy recommendations focus on slum redevelopment and collaborative governance to promote sustainable improvements in residents' living conditions. This study highlights the broader implications for urban planning and development in Kanpur and similar cities, emphasizing the importance of targeted interventions to enhance the quality of life for slum residents. Future research could explore long-term outcomes of these interventions and innovative strategies for resilience and community development.

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 Keywords

Urban Slums, Housing Quality, Sanitation and Waste Management, Socioeconomic Factors, Public Health, Infrastructure Development

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The production of aluminium has increased globally as a consequence of increased industrialization in many developing countries and emerging economies. as well as greater demand for aluminum products. It has significant industrial and economic importance for Orissa, as this is the one of the metals for which the state has abundant raw material. Having national and local importance the metal has been produced increasingly creating a lot of environmental concern creating worth addressal at the local, regional and national level. The present study is an effort to address such issues at the local and regional level and make policy suggestions at the national level. Divided into five parts the present paper tries to understand the effect of outdoor pollution in the rural peripheral regions of Angul Aluminum smelter plant and captive power plant. Based on a cross sectional survey data collected through primary survey from 169 households within the 15 km radius of two plants the study tries to find the impact of exposure on possible health effects of peripheral population.The primary and secondary data indicated prevalence of health issues in nerarby area to the plant specific to the industry in comparison to distant and control village. The outcome of the study is significant for planning of management of air pollution and its effect on local and peripheral population.

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 Keywords

Angul-Talcher area,socio-economic study, health survey, industrial pollution

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Creative Commons Attribution 4.0 and The Open Definition

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In recent times investment companies have emerged as the most dynamic segment in the Indian financial system. These companies make multiple studies and efforts to understand various dimensions considered by retails investors while making investments and various factors influencing investment behavior of retail investors to design and modify the features of savings and investment avenues. This article conducted a study to understand one of the influencing factors in investment making process i.e the way of making investment decision by degree college lecturers in Mysore district. It is found that there is no significant association between teaching department, place of residence, nature of residence and the way of making investment, whereas there is significant association between age, gender, spouse working status, family structure and the way of making investment.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Saving pattern, Investment pattern, Investment awareness, Investment avenues, Salaried employees

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The project describes the development of an IoT-based accident prevention and alerting system for vehicles. The system utilizes Raspberry Pi 3B+ to collect data from various sensors and initiate actions to prevent accidents and notify emergency services when one occurs. The system continuously monitors the driver's state through an alcohol sensor and the vehicle's surroundings using an ultrasonic sensor. The system uses tilt sensor & vibration sensor. If the system detects a value exceeding a predefined threshold, indicating a possible drunk state, the alcohol sensor detects the presence of alcohol, an alarm is triggered to warn the driver. The ultrasonic sensor constantly measures the distance between the vehicle and nearby objects. If a collision is detected by the vibration sensor & tilt sensor detecting possible rollover, exceeding a specific threshold, the system retrieves the location coordinates using the GPS module and transmits them, along with an emergency message, to designated contacts via SMS using the GSM module. This enables an emergency response, potentially minimizing injuries and saving lives.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Internet of Things (IOT), Raspberry Pi, GPS, GSM, Sensors.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Speech recognition, the evaluation of extension and flexion, the analysis of Electrooculogram (EOG), and the recording of face movements are some of the methods that may be used to accomplish emotion recognition. These sorts of emotion identification algorithms, however, are not able to identify human emotion very well since people have the ability to mask their true feelings via speech and fake body language. In this we proposed Recurrent Neural Network and Long Short-Term memory (RNN-SLTM) based hybrid classification algorithm for emotion classification on brain signals. The various machine learning and single deep learning classification algorithm has used for identify the class sentiment. The Weka 3.7 machine learning framework for machine learning algorithms while DeepLearning4J for deep learning classifies has used during the implementation. In extensive experimental analysis the module has evaluated all machine learning classifies and our proposed hybrid classifier.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sentiment analysis, social data analytics, brain signal analysis, supervised classification, machine learning, deep learning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Empowerment encompasses all values of lifestyle which includes social, financial, cultural and political diamensions. Empowerment of people is to be expressed as recognition and workout in their rights. It is to essential that ladies are taken into consideration same companion in development with guys. Hence empowerment of ladies is a holistic concept. Empowerment of ladies covers social, political and financial aspects. Entrepreneurship improvement amongst ladies is the inspiration stone for financial empowerment of ladies. Entrepreneurship of ladies is the maximum effective device to get rid of their issues of unemployment and vulnerability. Active participation in financial sports ends in sound Economic system of the nation. Entrepreneurship has been the area of guys for an extended time. Micro entrepreneurship is the first-rare path for eradication of unemployment of ladies.

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 Keywords

Empowerment, entrepreneurship,

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Creative Commons Attribution 4.0 and The Open Definition

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This study presents a novel approach to detect stress in IT professionals, leveraging wearable devices to monitor physiological indicators and analysing user behaviour through machine learning algorithms. The system offers real-time stress detection and personalized profiling, aiming to identify and address stressors specific to the dynamic IT industry. Ethical considerations and privacy are prioritized, ensuring responsible deployment. The model not only recognizes stress but also provides insights into underlying causes, enabling targeted interventions and preventive strategies. By fostering a proactive and supportive work environment, the proposed system contributes to the broader conversation on mental health in the modern workplace.

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 Keywords

Innovative, Stress, Approach, Cognitive

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the e-healthcare system, patients can gain an increasing number of high-quality medical services by sharing encrypted personal healthcare records (PHRs) with doctors or medical research institutions. However, a critical issue is that the encrypted PHRs result in loss of data content effectiveness by preventing an effective search for information. Another issue is that the medical treatment process requires the doctor to remain online at all times, which may be infeasible for all doctors (e.g., off- duty under certain emergencies). Through our scheme, (1) the patients' healthcare records collected by the devices are encrypted before uploading to the cloud; the encryption only allows the medical service provider to search over the collected patient data, (2) the proxy re-encryption (PRE) technology allows for the secure re-encryption of the collected PHRs from the medical service provider to any independent third-party research institutions, and (3) we combine the secret splitting technique and the channel codes for designing a privacy-preserving technique to guarantee that the remote PHRs monitoring process can be correctly continued, even if the medical service provider terminates service or drops offline during the remote PHRs monitoring process. We show that it is provably secure and preserves privacy of the PHR contents under the one-more-DMHE assumption, and provide experimental results to demonstrate the effectiveness and its performance.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Proxy re-encryption, proxy invisibility, searchable encryption, mobile healthcare sensor networks.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

With an increasing emphasis on personal finance management, understanding how individuals navigate investment choices becomes paramount. Through a mixed-methods approach combining surveys and interviews, this research aims to discern the behavioral biases, cognitive heuristics, and socio-economic factors shaping employee investment decisions. By exploring these dimensions, the study seeks to provide insights into the psychological mechanisms driving financial behaviors within the workplace context. Ultimately, the findings aim to inform employers, financial advisors, and policymakers about strategies to enhance financial literacy, mitigate irrational decision-making tendencies, and foster more informed investment practices among employees. The sample size for study comprised of 178 respondents. The sampling technique used was convenient sampling. The research is Descriptive in nature. The statistical tools used for analysis include One way Anova, Correlation and Regression analysis along with Cronbach Alpha Reliability Test.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

personal finance management, employee investment decisions , financial advisors, financial literacy

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: In recent years, there has been a lot of interest in and attention to numerous sports. A significant chunk of the populace was desperate to attend a game because there hadn't been any athletic events throughout the outbreak's height. With millions of followers who follow the game faithfully, cricket is arguably the most popular sport in India. Enthusiastic about the game, spectators closely examine the abilities of each player, focusing on their shooting technique in particular. With the rise in popularity of fantasy leagues and other comparable services, people are becoming more interested in evaluating players before selecting them for their teams. The manual batter shot recognition method is one of the most time- and labor-intensive procedures.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Machine Learning, Linear Regression, Cricket Shot Analysis, Feature Extraction, Data Modeling, Sports Analytics Training Data

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Creative Commons Attribution 4.0 and The Open Definition