Volume 13 | Issue 1 |

 Abstract

Renewable energy efficiency depends on precise solar radiation estimation together with agricultural output and sustainable environmental practices. The research establishes an innovative hybrid method for solar radiation forecasting by combining live meteorological data including temperature as well as humidity and wind speed metrics and with analytical sky visuals. The system uses advanced image recognition methods for cloud coverage determination and quantifies sunlight obstruction while applying sine altitude calculations for solar geometry analysis. The analyses from observed data merge with established empirical models to produce accurate solar radiation forecasts. Sunlight blockage statistics along with sky image processing results solar geometry parameters and solar radiation predictions appear as the system output data. Standard solar datasets and constants provide confirmation of both accuracy and the system's reliable performance. The research demonstrates how time-tested solar prediction approaches merge effortlessly with innovative computational systems to create an easy-to-use interface for solar energy users. Our upcoming strategy will use mobile platform deployment to extend accessibility while enabling users to enhance their energy planning and participate better in sustainability initiatives.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Solar Radiation, Hybrid Modeling, Image Processing, Meteorological Data Integration, Solar Geometry.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The fast-growing population needs more healthcare professionals than rural and government hospitals can provide for quality care. Our healthcare chatbot powered by AI helps patients receive expert medical support by connecting them through easy-to-use intelligent responses. The service helps people understand their symptoms, predict what might be wrong with them, and get safety tips, so they can make better choices for their health. The system operates through three key functionalities: There are three main tasks this system does: (1) Getting health symptoms from users and matching them to known conditions in its expert database; (2) Using powerful AI that has learned from medical records to predict likely conditions and help users understand them; and (3) Giving users safety advice and letting them know when they must visit a healthcare professional for more help. If the chatbot needs additional information to answer a question it fetches that data from search engines to deliver correct results. Through smart AI technology the system supports doctors with precise symptom interpretation while reducing mistakes and expands patient access to quality medical guidance to better healthcare results.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence (AI), Healthcare Professionals, Medical Records, Smart AI Technology, Expert Database.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

To make sure hospitals always have enough blood available, we need to predict when donors will give blood. Our project looks at how new machine learning methods can help us predict which donors are qualified and how likely they are to donate blood, using the Transfusion dataset. Our TPOT AutoML tests found that Logistic Regression and Robust Scaler preprocessing formed the best model setup. Applying this model produced an AUC score of 0.789 proving it works well for actual use. Our results show that AutoML tools effectively find models that work well and explain their results in health prediction tasks. Our upcoming research will expand the dataset and test extra features to improve model outcomes for all donor groups.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Transfusion Dataset, Machine Learning, AutoML Tools, Logistic Regression, AUC Curve, Health Prediction.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Conversion of waste biomass into bio-diesel and bio-gas presents combined advantages of waste to value conversion and alternative fuel generation. It is generally found that the world's depend on fossil fuels had negative implications, such as a decline in oil supply, a drop in air quality, an increase in global temperature, and weather change. Biofuel production is one of the best options for minimizing the quantity of conventional fuel used. Synthesis of fermentable sugars from the biomass fractions, namely cellulose, hemicellulose, and lignin, is a challenging process. Bioethanol, identified as a sustainable solution to fossil fuels, has gained significant attention. This paper presents theoretical and practical methods for process improvement, as well as a brief review of the characteristics of bio-fuel production and limitations by using various pre-treatment techniques with wastes such as vegetables, fruits and field bio-mass to bio-diesel production using microbe in anaerobic process. Bioethanol has a variety of applications, including petrol blending, solvent use, and distillery sectors. The main objective of this paper is analyses perspectives of manufacture bio-fuel, reduce the waste and provide pollution free environment for women. The collected various waste such as kitchen, field and animal excreta as reference are crushed and kept in different vessels by using yeast for fermentation and yield checked in different days.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Bio-waste, Kitchen waste, Field waste, Animal excreta, bio-diesel, Bio-gas

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The rapid growth and development in the digitization of music have significantly transformed how the youth increase their consumption pattern style and involvement, engage with, and relate to music in Chennai, a film and vibrant cultural hub of south India. This study explores the impact of digital music platforms and their listening habits, preferences, and social cultural factors of the city's youth. It examines the accessibility, affordability, and variety offered by online platforms like Spotify, YouTube, and Gaana, which have replaced traditional methods of analog music consumption such as radio and CDs. The research adopts a mixed-methods approach, combining surveys and interviews with individuals aged 15-30 to assess their digital music usage patterns and their influence on their cultural identity and emotional well-being. Findings suggest that digital music has endured a more personalized and globalized experience, enabling youth to explore diverse genres while retaining a strong connection to local traditions. However, it also highlights concerns such as diminished attention spans, over-relational on psychological behavioral change , and reduced in physical music and community engagement. The study explains the dual role of digital music as both a tool for cultural globalization and a medium for preserving Chennai's classical and traditional musical heritage. Insights from this research could update the strategies for promoting balanced digital consumption while safeguarding the cultural identity for music.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digitization of music, Listening habits, preferences, community engagements, balanced consumption

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Augmented reality (AR) has been used in the last years as a weapon for enhancing co-operation between the real world and virtual environments. The goal of this work is to develop an android application which will raise the value of tourist on-site experience in an innovative way via AR technology. This survey will especially focus on museum tourism. Museum consisting of distinct sections faces difficulties of tourist management. If guides are not accessible this application can take place of human guide. In historical section of museum, one can scan the 2D image of object and can gain its 3D view along with its information. In music section, tourist can scan the image of singer and application will play famous melodies related to that singer. This data will be stored on the Cloud. This application is done by using well known technologies such as Unity 3D and Vuforia. Usage of such tools and technologies gives great opportunity to convert imagination into reality.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Augmented Reality, Augmented Reality based 3D display, Augmented Reality based Music Player, Cloud Computing.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ABSTRACT According to the American Psychological Association, "Personality refers to individual differences in characteristic patterns of thinking, feeling, and behaving." This study specifically attempts to investigate the complex interrelationships among personality development, social group dynamics, and societal influences. It explores how social organizations either support or contradict society's norms and ideals, as well as how these factors shape individual identities. The study also makes an attempt to show how primary groups like family and close friends--and secondary group factors like community, group cohesion, and social identity--affect the development and maturation of personality. The study also emphasizes how important cultural environment is in determining what constitutes appropriate conduct and values in a community and how this influences people's personalities. The results highlight how crucial it is to comprehend these dynamics in order to build wholesome relationships and encourage personal development. This study advances our knowledge of human behaviour and the dynamic nature of personality as it changes in many social settings.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Personality development, Individual differences, American Psychological Association, Study, Social groups and Factors

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Mental health is a important aspect of overall well- being in the world we live. Many people face emotional struggles and stress, but there is no easy way for help. WellBot, a companion, is designed to bridge the gap by offering a platform for users to engage in conversations about their mental state. WellBot uses cutting-edge Natural Language Processing and sentiment analysis techniques to identify the emotional tone of users' text inputs and respond with thoughtful and supportive messages. The main idea behind WellBot is to give users a safe place to express their feelings. If someone just needs anybody to talk to, WellBot will listen. It is first step in to help users to reflect on their mental state and might guide them towards suitable resources. instant responses to people who may feel isolated or uncomfortable seeking human help is provided by the chatbot. Machine learning improves WellBot's understanding of emotional words. WellBot uses sentiment analysis to understand subtle emotional cues within user inputs and tailor appropriate responses. The user experience is improved by making conversations feel more personal

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Wellbot,Rasa,Mental Health

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Feminine power has always been a vital theme in English prose and poetry, reflecting women's struggles, triumphs, and contributions throughout history. This journey to empowerment is not just a narrative of individual strength but also a collective movement that has shaped societies and literature. English literature has always served as a powerful platform to explore women's voices, celebrating their resilience and challenging societal norms. This study delves into how feminine power is portrayed in classic and modern works of prose and poetry. It highlights key themes such as identity, freedom, and equality while showcasing the transformative impact of women's perspectives. From the passionate expressions of Elizabeth Barrett Browning to the thought-provoking prose of Virginia Woolf and the empowering verses of Maya Angelou, feminine power emerges as a timeless force that continues to inspire. The abstract underscores the importance of embracing and understanding women's voices in literature by tracing this journey. It invites readers to reflect on how these voices have always championed empowerment and shaped our cultural and literary landscapes.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

; feminine power, empowerment, English literature, prose, poetry, women's voices, resilience, identity, equality. ____________________________________________________________________________________________________

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Creative Commons Attribution 4.0 and The Open Definition