Volume 12 | Issue 5 |

 Abstract

Color blindness is a type of disease in which a person cannot differentiate between some colors like red-green blue-yellow. A color blindness test helps to detect the correct type of color blindness. If you cannot pass the test you suffer from color vision deficiency. It is also called color blindness. Most color blindness tests can specify that children who have problems identifying colors such as red-green and blue-yellow can be treated easily if they are below 5 years. This could be A characteristic in specific activities in school and at home. Color blindness is a very common condition: out of 10 people one color blindness patient has some level of color blindness of visual impact, however there are many tasks in daily life that require the ability of color recognition and visual discriminate. Color blindness cannot be cured. Today, technology gets up with solutions to help individuals with color blindness to see the image and distinguish between the different yet the most basic colors using some algorithms.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Color Vision Deficiency, Color Correction, Recoloring, Accessibility.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Vision Vigil is a video classifier, leveraging state-of-the-art machine learning model and generative AI to tackle the challenges in categorizing digital multimedia. The project's primary objective is to efficiently distinguish between Safe for Work (SFW) and Not Safe for Work (NSFW) content, providing users with preemptive content warnings. By integrating a ML model and LLM model, Vision Vigil ensures accurate classification, offering a proactive approach to content analysis. This innovative system goes beyond conventional video categorization, empowering diverse domains such as entertainment, security, education, and healthcare. Vision Vigil's adaptability enables seamless integration into various applications, offering a versatile solution for platforms prioritizing user safety. Through its sophisticated technology, Vision Vigil stands as a sentinel, cautioning viewers about the nature of video content and contributing to a more secure and informed digital landscape. In an era dominated by digital multimedia, Vision Vigil emerges as a crucial tool for enhancing content moderation and user experience.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Video Classification, Audio Analysis, Text Classifier, Machine Learning, Multimedia Content, Deep Learning, Content Categorization, Generative AI, Gemini API Feature Extraction, Neural Networks, Sentiment Analysis, Image Recognition, Pattern Recognition, Content Moderation, Digital Media, Audio Segmentation, Video Analytics, Speech-to-Text, Image Classification, Language Models, Predictive Modeling, Information Retrieval, Topic Modeling, Audio Clustering, Document Classification, Image Segmentat

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The integration of renewable energy sources like photovoltaic (PV) solar panels and wind turbines (WT) into the smart grid is highly beneficial due to the inherent advantages of these resources. Solar and wind energy are not only environmentally friendly and sustainable but also widely available and cost-effective. By leveraging the capabilities of the smart grid, which includes advanced communication, control, and automation technologies, the efficiency and reliability of renewable energy systems can be significantly enhanced. This integration supports the transition to a cleaner energy landscape, reduces dependence on fossil fuels, and helps mitigate the impacts of climate change by lowering greenhouse gas emissions. The hybrid system approach, combining both solar and wind energy, further improves energy stability and availability, compensating for the intermittent nature of these renewable sources.This comparative study aims to evaluate the efficiency and effectiveness of these MPPT methods in optimizing the power output from the hybrid renewable energy system. Particle Swarm Optimization (PSO) is known for its robustness and fast convergence, potentially offering superior performance in tracking the maximum power point under varying environmental conditions. On the other hand, the P&O method is simpler and more widely used, but it may not perform as well in rapidly changing conditions. By implementing and simulating these techniques in MATLAB/SIMULINK, the study provides insights into their practical applications and performance metrics, guiding the development of more efficient renewable energy systems.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Hybrid system, Photovoltaic system, Wind Power Energy System

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study was conducted to the understand how the impact of mobile phones influences emotional reactivity and anxiety in middle adolescents, young adults and middle aged adults in the current scenario. The aim of this study focused upon the relationship between nomophobia, emotional reactivity and anxiety. The results of this study indicate that there is a significant relationship between nomophobia, anxiety and emotional reactivity based on gender, it was found that emotional reactivity is higher in females than males. Furthermore, based on age groups it was found that nomophobia between 14-17 years and 18-29 years, also between 14-17 years and 30-65 years is significant. Anxiety is predominantly significant between the age group of 14-17 years and 18-29, as compared to the difference between 18-29 years and 30-65 years. Lastly, it was found that nomophobia has an effect on emotional reactivity.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Key words: Nomophobia, Anxiety, Emotional Reactivity, Middle Adolescence, Young Adults, Middle Aged Adults.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The advancement of blockchain technology has benefited many different businesses, and the legal sector is no exception. The blockchain legal rights manager is one of the applications that stands out because it seeks to completely alter how legal rights are handled and safeguarded. This ground-breaking solution uses the immutability, transparency, and decentralized consensus capabilities of blockchain to build an effective and secure platform for registering, confirming, and enforcing legal rights. The blockchain legal rights manager uses smart contracts to ensure that legal agreements are automatically carried out, which increases efficiency and lowers transaction costs. Additionally, the transparency of blockchain offers real-time access to accurate information for all parties, eliminating the need for middlemen and boosting confidence. This technology can be used in a variety of situations involving legal rights, including those involving intellectual property, real estate ownership, and contractual obligations. The proper application of this system will enable people and organizations to more efficiently safeguard their legal rights, lower fraud, and speed up the judicial system.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Blockchain technology ,Legal sector, Blockchain legal rights manager ,Legal rights ,Immutability ,Transparency ,Decentralized consensus ,Smart contracts

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In today's digital age, understanding and responding to human emotions play a crucial role in enhancing user experiences. This research aims to develop a personalized music recommendation system by analyzing the user's emotional state through a chatbot interface. Leveraging tone analysis algorithms, the chatbot interacts with users, detecting their sentiments based on text inputs. By integrating readily available APIs for playlist generation and recommendations, the system tailors music suggestions to match the user's mood. Through text-based interactions, users can receive soothing music recommendations aligned with their emotions, offering a source of comfort and relaxation in stressful times. This proposed system not only identifies the user's current mood but also provides a platform for seamless human-computer interaction, emphasizing the importance of emotion recognition in enhancing user engagement and satisfaction.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords-- Chatbot, Song recommendation, last.fm API, playlist generation, Music classification, Text analysis, Machine Learning, Support vector Machine (SVM), Sentiment analysis, Cakechat, IBM tone Analyzer.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ambedkar has been the biggest critic of the Hindu Social order of all times. The rights of the socially dominant castes i.e.( Brahmin caste) were protected but not of those who belong lower castes. He knew that the Depressed classes' people must have specific rights otherwise they would be exploited and alienated from the society as well as from himself. According to him, the Varna-Vyavastha had developed into a social order of exploitation and oppression. According, to Ambedkar, society must be based on reason, and not on atrocious traditions of the caste system. He found education, inter-caste marriage and inter-dine as methods which may eliminate caste and patriarchy. But with time he realized that the Hindu social order had plagued our society to such an extent where even these methods would fail to annihilate caste from the grass root level. He also talks about social justice which is a means to create an ideal or just society based on the principles of social justice and a combination of three component i.e. liberty, equality and fraternity.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Dominant, Oppression, Exploitation, Plagued, Dalits, Untouchability

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The goal of this project is to detect credit card theft in actual situations. The amount of credit card frauds that occur now days is far higher than it was in the past. Phony identities and other technologies are being used by criminals to trick people and extract money from them. Finding a remedy for these kinds of frauds is therefore crucial. We created a model for this proposed project to identify fraudulent activities in credit card transactions. The majority of the crucial elements needed to identify unlawful and criminal transactions are available in this system. The ever-evolving nature of technology makes it more challenging to monitor the activities and trends of illicit transactions. One can use the growing array of technology available to them to come up with a solution.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine Learning, Random Forest, Fraud, Decision Tree

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Obesity is a significant public health challenge worldwide and is inextricably linked to adverse cardiovascular outcomes. The relationship between excess adiposity and increased blood pressure is well established, and it is estimated that obesity accounts for 65-78% of cases of primary hypertension. The mechanisms through which obesity causes hypertension are complex and include sympathetic nervous system overactivation, stimulation of the renin-angiotensin-aldosterone system, alterations in adipose- derived cytokines, insulin resistance, and structural and functional renal changes. Weight loss is the primary goal of treatment for obesity-related hypertension, although few individuals achieve success with nonpharmacological management alone. Specific considerations apply when selecting the most appropriate pharmacological therapy for obese hypertensive patients. Metabolic surgery has proved to be the most effective means of ensuring substantial and sustained weight loss and has also been shown to confer beneficial effects in type 2 diabetes mellitus. Increasing evidence suggests that metabolic surgery may also be an effective treatment for obesity-related hypertension, although prospective data on long-term blood pressure outcomes are awaited. This review will discuss the pathophysiological mechanisms that link obesity with hypertension and will provide an overview of treatment strategies, with a focus on metabolic surgery. Keywords: Obesity; hypertension; bariatric surgery; metabolic surgery

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Obesity; hypertension; bariatric surgery; metabolic surgery

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

-- The Advanced Intelligent Tourist Guide System is a cutting-edge application developed using Dotnet, designed to enhance the travel experience for tourists by leveraging intelligent technologies. Traditional tourist guide systems often lack personalization and real-time adaptability to the user's preferences and changing circumstances. This project addresses these limitations by integrating SQL with intelligent algorithms to create a dynamic and responsive platform

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Dotnet,SQL,Geo location Api

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Creative Commons Attribution 4.0 and The Open Definition