Volume 12 | Issue 5 |

 Abstract

The advent of social media and online platforms has brought about an unprecedented surge in user-generated content. However, with the freedom of expression also comes the challenge of combating toxic behavior, such as hate speech, harassment, and offensive comments, which can significantly impact online discourse and community well-being. In response to this challenge, this study proposes a machine-learning approach for classifying toxic comments. The primary objective of this research is to develop an effective and efficient model for automatically identifying toxic comments within large volumes of user-generated content. Leveraging a diverse dataset of comments labeled with toxicity levels, various machine learning algorithms, including but not limited to logistic regression, support vector machines, and neural networks, are explored and compared for their performance in toxic comment classification.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Toxic Comment Classification, Machine Learning, Natural Language Processing, Text Classification, Hate Speech Detection.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Herbal shampoos are the cosmetic preparations that with the use of traditional ayurvedic herbs are meant for cleansing the hair and scalp just like the regular synthetic shampoo. The herbal shampoo was formulated by adding the extracts of Aloe vera, Phyllanthus emblica, Acacia concinna, Withania somnifera, Aegle marmelos. They are used for removal of oils, dandruff, dirt, environmental pollutions etc. Herbal shampoo is a type of cosmetic preparation that uses herbs from plants as an alternative to the synthetic shampoo available in the market. The herbal shampoo is important, as people nowadays prefer herbal products than chemical ones for they proved to enhance health. Evaluation of the organoleptic properties, physicochemical and performance test were carried out. The results indicated that this can be used as a potential alternative for cleaning and managing hair in a naturaland effective way instead of synthetic source. The awareness and need for cosmetics with herbs are increasing day by day, primarily because it is believed that these products are safe and free from side effects. In this research, we use Eclipta prostrateas an active ingredient for hair growth activity.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Herbal Shampoo, Natural & Healthy, Dandruff, Aloe vera, Phyllanthus emblica, Acacia concinna, Sapindus mukorossi, Aegle marmelos, Withania somnifera, Evaluation of shampoo.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

mugal yugin rajputana ki nill mandi bayana

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

mugal yugin rajputana ki nill mandi bayana

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Yoga has become more popular during the COVID-19 pandemic as a way to boost immunity and improve overall well-being. This has led many people to practice at home, following the guidance of experienced instructors. However, practicing at home raises concerns about the potential risks of doing poses incorrectly, which may not be beneficial and could even cause harm. To tackle this issue, a suggested technological solution uses camera technology and machine learning to recognize yoga poses and offer immediate feedback for corrections. Augmented reality (AR) enhances this system by overlaying ideal poses on the user's environment, ensuring accurate alignment and engagement. This innovation aims to modernize traditional yoga practice, offering a safe, effective, and engaging home exercise option, promoting holistic health in challenging times.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Yoga, immunity boosting, Machine Learning, Augmented Reality (AR), pose recognition, real-time feedback, virtual yoga class

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: The Kalyana Laxmi Scheme, an initiative spearheaded by the Government of Telangana, seeks to alleviate financial burdens associated with marriages, particularly targeting marginalized communities. This review paper critically assesses the implementation and impact of the scheme on tribal populations in Telangana. Through a comprehensive analysis of existing literature, governmental reports, and empirical studies, this paper offers insights into the socio-economic intricacies of marriage expenses, evaluates the effectiveness of the scheme, and examines its implications for tribal welfare. The scheme's primary objective is to address the financial challenges faced by families, especially those belonging to marginalized sections, during the marriage of their daughters. By providing one-time financial assistance, the scheme aims to ease the burden of marriage-related expenses and promote social equity within the marital sphere. This paper explores how the scheme operates within the unique socio-cultural context of tribal communities in Telangana, shedding light on its implementation challenges and success stories. The findings of this review highlight the significant impact of the KalyanaLaxmi Scheme in mitigating socio-economic disparities and empowering tribal families. Through financial assistance, the scheme enables families to conduct marriages without succumbing to overwhelming debt, thereby fostering economic stability and social inclusion. Moreover, by promoting gender equity in marriage expenses, the scheme contributes to breaking entrenched socio-cultural norms and advancing women's rights within tribal societies. Overall, this review underscores the importance of the KalyanaLaxmi Scheme in addressing socio-cultural inequalities and promoting gender equity in marriage within tribal communities in Telangana. However, it also emphasizes the need for continued efforts to improve the scheme's implementation process and ensure equitable access to its benefits for all eligible beneficiaries.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Key words: Welfare schemes, Empowerment, Marginalized communities, Gender equity Socio-economic impact

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A simple and highly versatile an efficient three-component cyclocondensation of substituted aryl aldehyde, malononitrile and guanidine hydrochloride as an ammonia source promoted by Transition metal halide catalyst such as ZrOCl2 in ethanol at 750C scaffold corresponding 1, 4, 5, 6-Tetrahydropyrimidine-5-carbonitrile. Hence, the practicality approach was investigated for the one pot synthesis desired compounds generate good to excellent yields. The derivatives of titled product was evaluated by advanced spectroscopic data viz; IR, 1HNMR, 13CNMR and LCMS and also determined by elemental analysis. The condensed reaction preceded a milder conditions, simple work-up, non-chromatographic purification of the desired products, without experiencing a discernible decrease in efficiency, the catalysts can be extracted and repurposed for further processes. This method is additive-free and incorporates nanotechnology for the synthesis of desired product and also has well to excellent exceptional yields, a wide range of substrate compatibility, and an instantaneous reaction time

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Aromatic aldehyde, malononitrile, ZrOCl2, 2, 4-diamino-6-phenyl-1, 4, 5, 6-tetrhydropyrimidine

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this paper, "Crop Prediction and Translation using Machine Learning and Artificial Intelligence," aims to develop a user-friendly web application for farmers and stakeholdersas agriculture plays a vital role in human lives. This application can help them to interact easily to get the resulting crop, suggestions, and measures for farmers in their preferred language. The application integrates machine learning and artificial intelligence to predict suitable crops based on input climate and soil data. Users can input data through text, audio, or parameter selection and choose their preferred language for suggestions. Advanced machine learning algorithms like logistic regression and XGBoost are used to predict suitable crops. The application also utilizes Gemini Pro's content generation capabilities to provide personalized suggestions and measures to farmers, enhancing agricultural practices. The use of the ensemble algorithm XGBoost increases the model's accuracy. The project not only provides crop prediction but also offers knowledge and decision support, contributing to advancingagricultural practices and productivity.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine Learning, Generative AI,XGBoost, Artificial Intelligence, Logistic Regression

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The primary goal of this project is to use various machine learning approaches to predict the potential presence of diabetes at an early stage, with a focus on females. Making the appropriate lifestyle adjustments at the right time will help prevent diabetes and all the problems connected with it. Early detection of diabetes can considerably minimize the disease's progression and lower the chance of catastrophic consequences including heart and kidney ailments. Therefore, a device that can help physicians identify this fatal illness earlier and halt its course is desperately needed. Finally, using the support vector machine classifier model as a base, this model generated an accuracy of 78%.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine learning; diabetes; mellitus; Pima Indians dataset

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Flow is a state in which people are so engrossed in an activity that they lose track of time or the importance of anything else; they will continue to do it, even at great expenditure, just to enjoy it. Mindfulness is the practice of being fully present and aware of one's thoughts, feelings, sensations, and surroundings without judgment or attachment. The study focuses on examining the relationship between flow state and mindfulness among young adults. A sample of 200 college students was administered with the Flow short scale by Rheinberg, Vollmeyer & Engeser, 2003 and the Five Facet Mindfulness Questionnaire by Baer et al. (2012). The relationships between flow state and mindfulness were examined using correlational analysis. The analyses of the result reveal a significant positive correlation between flow state and mindfulness. The significant positive correlation between flow state and mindfulness unveiled in this study suggests potential interconnectedness between these psychological states. Understanding this relationship can shed light on the mechanisms underlying optimal human experience and inform interventions aimed at enhancing well-being among young adults.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Flow, Mindfulness, Psychological Well-Being, Young Adults, Correlation.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Product reviews are valuable for upcoming buyers it helping them to make decisions. Sentiment analysis recognized user views, emotions, opinions and arguments from different online products, brands. The big challenge of sentiment analysis is lack of sufficient classified data in the field of Natural Language Processing (NLP)[1]. Recently deep learning has emerged as an effective means for solving sentiment classification problems. A neural network intrinsically learns a useful representation automatically without human efforts. However, the success of deep learning highly relies on the availability of large-scale training data. It propose a novel framework, named Net Spam[2], which utilizes spam features for modeling review datasets as heterogeneous information networks to map spam detection procedure into a classification problem in such networks. As the result of this weighting step, it can use fewer features with more weighs to obtain better accuracy with less time complexity. In addition, categorizing features in four major categories helps us to understand how much each category of features is contributed to spam detection. A weighting algorithm is employed to calculate each feature importance. These weights are utilized to calculate the final labels for reviews using both unsupervised and supervised approaches.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sentiment analysis, NLP, deep learning, neural networks, Net spam.

  License

Creative Commons Attribution 4.0 and The Open Definition