Volume 11 | Issue 5 |

 Abstract

The anti-microbial activity of the formulated herbal hand wash gel was tested against Escherichia coli, Staphylococcus aureus and Salmonella by spread plate techniques and the results obtained were compared with commercial antibacterial standards. Alsothe efficiency was checked by using the hand wash gel on volunteers. The results from the present work suggest and support the incorporation and utilization of herbs in theformulations to give better effect. Herbal medicines are significant part of healthcare throughout the world. Herbal medicines have been extensively utilized as effectual remedies for the prevention and management of multiple health conditions. Hands are a prime mode of transmission of microbes and nosocomial infections. Handwashing is extremely imperative in healthcare and domestic sector. Numerous of the antiseptic hand wash available in the market are alcohol based sanitizers which have some adverse effects. To avoid these adverse effects like itching, drying, irritation, dermatitis etc., of the synthetic handwash formulations an attempt has been made to formulate a herbal hand wash using extracts of Eucalyptus globulus extracts. The results from the present work support the incorporation and utilization of herbs in the formulations to give a better effect. Herbal hand wash evaluated by tested parameters like physical parameters like colour, fragrance and chemical parameters like pH, Viscosity, Foam height, Foam retention, Skin irritation test etc. and obtained results were in the acceptable limits with less or

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 Keywords

Herbal hand wash, tulsi, vitamin c, Aloe vera, citrus Limon, essential oil

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Machine Learning is a category of algorithms that allows software applications to become more accurate in predicting outcomes without being explicitly programmed. The basic premise of machine learning is to build models and employ algorithms that can receive input data and use statistical analysis to predict an output while updating outputs as new data becomes available. These models can be applied in different areas and trained to match the expectations of management so that accurate steps can be taken to achieve the organization's target. In this paper, the case of Big Mart, a one-stop-shopping center, has been discussed to predict the sales of different types of items and for understanding the effects of different factors on the items' sales. Taking various aspects of a dataset collected for Big Mart, and the methodology followed for building a predictive model, results with high levels of accuracy are generated, and these observations can be employed to take decisions to improve sales.

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 Keywords

Machine Learning, Linear Regression, XG Boost, Prediction.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The pandemic has taught us how important it is to protect our environment and lead a responsible life in the society. The pandemic overhauled the health care systems and forced many nations to look for alternatives to strengthen the nation. The rich indigenous environmental knowledge of our country helped us to protect ourselves from the pandemic and also help the world. Many indigenous practices like use of turmeric, amla etc., steam inhalation, yoga, preparations like kadha etc., have all made India strong and added to this the development of indigenous vaccines helped India to fight the battle successfully. Indigenous knowledge systems facilitate holistic development and empower people in their struggle for survival and achieve self- efficiency. The present paper highlights the indigenous environmental knowledge for holistic development especially in the field of Education.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Indigenous Environmental Knowledge, Holistic Development, Yoga, Self- efficiency

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

As a country with one of the largest young populations in the world and a booming economy, youngsters in India expect a brighter future. As a result, the young Indian Investor today shows an unprecedented degree of financial prudence. Most Indian youngsters invest directly in the stock market. However, it is always recommended to have an in-depth knowledge of the market before venturing in, as the stock market's performance depends on various macro and microeconomic factors. Thus, the youth of India are very aware of investment possibilities around them and intelligent enough to know what is best for them.

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 Keywords

Investment, Behavioral Inclination, Investor attitude

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Food is a key aspect of our lives because it is the most fundamental necessity of all living things on our planet. Because agriculture provides the majority of our food, it is extremely significant. Agriculture works to produce food goods for the expanding population, but plant diseases also impede the growth and nutritional value of food crops. Here, we'll focus on five different plants: the tomato, the hibiscus, the spinach, the mango tree, and the bitter gourd. This paper suggests a CNN-based method for earlier disease detection in plants. The method involved the following steps: image segmentation, feature extraction, and picture pre-processing. A Convolutional Neural Network (CNN) classifier is created using the outcomes of these three phases. To conduct research and analysis, an image of the plant's diseased portions is obtained, compared to the desired dataset, and used to predict the disease and provide subsequent treatment options. Following the diagnosis of the disease, the pesticides, their quantity, and the area where they should be applied are displayed. Additionally, it will display the vicinity where pesticides can be found.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Agriculture, Machine Learning, CNN, Image Segmentation, Feature Extraction, Automatic disease Recognition, Classification

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Apps and websites that facilitate online dating are rapidly becoming increasingly common ways to meet potential partners. Online dating, despite (Mlaz, 2020) having some great qualities, has been shown to have a negative impact on how people regard themselves. Because online dating is predominately (Enguix & Ardevol, 2012) based on visually observable characteristics, users are commonly objectified as a result of their participation in the activity. This may result in unfavourable effects in terms of body dissatisfaction. On the other hand, the outcomes of prior research studies investigating this link have produced conflicting findings. The present study aimed to correlate body image and self-esteem among those adults who uses online dating apps. Data from 100 participants were gathered using purposive and snowball sampling technique. Rosenberg's self-esteem and Body Uneasiness Test has been used to measure the variables. The findings depicted that there is a significant correlation between body image and self-esteem among those who use online dating apps and body image significantly predicts self -esteem. In addition, society as a whole can relax its judgement of persons who use online dating more regularly, who it incorrectly assumes are trying to make up for shortcomings in their offline lives.

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Body image, Self-esteem, online-dating,

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 Abstract

The objective of this study is to formulate and evaluate poly-herbal shampoo for cosmetic purpose from herbal ingredients. Hibiscus powder, Neem powder, Henna powder, Amla powder, Shikakai powder, Ritha powder, Alo-vera gel was procured from local market in powdered form also gel form Banyan root powder and Soya milk is prepared by homemade method, then prepared decoction of these ingredients and mixing with each other and evaluated for its organoleptic and physico-chemical characteristics. Herbal shampoo is used to cleansing of the hair also conditioning, smoothing, of the hair surface, good health of hair, hair free of dandruff, dirt grease and lice above all, it's safety benefits are expected.

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 Keywords

Herbal shampoo; Eclipta prostrata, Sapindus indica, Evaluation of shampoo

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper discusses with the review of using Carbon Nanotube (CNT) for development of Ultra-high strength concrete (U.H.S.C.). MWCNT'S will be used as nano reinforcement in cement, this improves microstructure of cement. Hence objective of this literature survey is to collect past data on properties of concrete by application of carbon nanotube. The CNT are highly recommended because of their high strength behaviour with less quantity of dosses. CNT is majorly known for properties such as high tensile strength, stable chemical nature, corrosion resistance & high thermal behaviour. But we will study only few properties such as microstructure behaviour, compressive strength, tensile strength & flexural strength

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Multiwalled carbon nanotubes, compressive strength, microstructure behaviour.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: The degree of acidity(pH) and total dissolved solids (TDS) is very important for the fish's health. The Fish in the aquarium release their waste in the form of ammonia. Ammonia is toxic to all other aquatic organisms. The high level of ammonia in water will affect the pH and TDS levels of water. If pH and TDS levels in the water are not good then it will affect the fish's health. Usually, the pH sensor and TDS sensor are used to monitor the pH value and TDS value. The fish requires a 7-7.5 pH value and 400ppm-450ppm of TDS value. If these sensors are not working properly, then it will affect the fish in the aquarium. This proposed system stores these sensor values for one day in a CSV file(dataset). The isolation forest algorithm is used for detecting the outlier in the dataset. The Linear regression algorithm is used for predicting the pH value and TDS value range. Based on the prediction, the pH level and TDS level of water can be checked once again and then can be changed. By detecting the outlier we can identify the hardware faults in the system. By predicting the pH value and TDS value, the water can be changed on time to save the aquatic organisms.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Prediction, TDS value, outlier detection

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Nowadays, cosmetics are becoming more high demand in daily life and it was used frequently by many of people per year. Mankind uses various products to enhance beauty and elegance to look young and charming. Cosmetics thus play a vital role in human life. Now days, herbal cosmetic are widely used because of the belief that they have fewer side effects and better safety. Hair is one of the primary parts of the body which acts as a protective appendage. The main objective of the present work is to develop an herbal hair serum for general purpose (daily use) using various herbs with this evaluate the characteristics of cosmetic serum and to identify the best formulation of cosmetic serum. Three formulations of cosmetic serum (H1, H2 and H3) with different concentration of excipients have been developed. They were evaluated for its physical appearance, pH, homogeneity test, viscosity, spread ability test and stability test. All the parameters were found to be good and within the standards. Current research has revealed that herbal formulations are effective in enhancing hair consistency.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cosmetic, hair, herbs, formulation, effective, Beauty, Herbal hair serum

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Creative Commons Attribution 4.0 and The Open Definition