Volume 9 | Issue 7 |

 Abstract

The Exam MCQ App aims at the modern educational system, for making it easy to conduct online exams smoothly. This application is developed for educational purposes to enhance the online mode examination process. The app provides two user platforms one for the teachers and other for students. The teacher interface includes adding new subject or category upon which students are supposed to be tested. It also has functionality of adding new sets according to the requirement. The idea of different sets avoids mass cheating among student which reduces the worth of examination process. Teacher's interface has functionality to add questions either manually by pressing add button or by attaching excel sheet consisting of questions. On the other side student's interface has got options for selecting subject and then the sets get assigned to them in a random manner. Then they are moved to question activity which consists of questions in the MCQ format. After completion of quiz, we get the results instantly. Students can also bookmark questions for future reference.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Random manner, MCQ (Multiple-Choice Questions), Bookmark, Interface, Activity

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

With the use of the internet, a lot of data is being collected in the form of images. This type of data can be used for further analysis or processing only if we are able to draw out what the image represents or depicts. Image captioning in simple words can be defined as the process of producing or generating a description in the form of text for an image. The results have many applications in real life. This paper presents an effort to leverage the benefits of the techniques of Deep Learning in producing the captions for images based on the objects present, the properties of the objects, the actions that are being performed by them and the interaction between the objects and with their surroundings using a CNN and RNN model.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Image Captioning, CNN, LSTM

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract : Malnutrition is the major problem of children in India. It can be prevent by early detention of malnourished child's Symptoms by proper assessment of child's health and proper nutrition by correct diet plan. This study aimed to assess malnutrition ration in 1-5 year of children from slum area of Petlad district of Gujarat. Quantitative research approach and Descriptive Survey research design were uses in the study. Total 380 sample of children were selected as sample of study based on simple random sampling method . Tool consistent of two parts socioeconomic variable and measurement of height, weight and MUAC by standard method. A study was conducted from 1 January 2020 to 28 February 2020. Analysis was done by using demographic data of the sample like age, gender,religion,diet type of family, number of Sibling, educational level of child. According to weight for age 159 of the children had normal weight, 4 were obese, 49 had risk of weight problem, 134 were underweight and 34 were severely underweight. As per height for age 189 of children had normal height, 28 were gigantic, 106 were stunted and 57 were severely stunted. According to weight for height 214 of children had normal weight, 6 were obese, 21 were overweight, 59 had risk of overweight, 44 were wasted and 36 of children were severely wasted. As per MUAC 141 of the children were normal, 140 of children were mild malnourished, 83 of children were moderate malnourished and 16 of children were severe malnourished.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keyword : Malnutrition, Assess, Prevalence, slum area.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

COVID-19 has had a significant impact on the world. Wearing a face mask is one of the precautions to lower the risk of viral transmission, according to studies. Moreover, many public areas and public service providers demand consumers to use the service and location only if they correctly wear masks. As a result, manually tracking the consumer to see if they have the mask or not is impossible. That is why technology is so important in this situation. Face mask detection via image processing is one of the high-accuracy and efficient face mask detectors proposed in this paper.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

TensorFlow, Object Detection, Face Mask Detection.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study is to be performed to reduce the muscular effort of target people who feels tiredness and muscular pain while sweeping the floor since floor sweeping is an activity that takes almost an hour to sweep floor of an average house of about thousands of square feet.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sweeping, Muscular effort

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project aims at developing an application that can capture and identify name of plant. There are uncountable species of plants in nature and it is very difficult to identify them without help of botanists.Deep learning is used to classify plant according to species. Then the detail of the leaves is searched in the database to find the plants with same details. Thus just by capturing the image, the user will get accurate details about the plant.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

plant, deep learning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The fast growth in technology and increase in the use of Internet by the people in India has led to the development of online shopping. The current pandemic and the days of lockdown have proved to be an added advantage to the E-sellers to expand their customer network. The availability of numerous shopping websites is the biggest challenge to the E-sellers. To attract more customers to the online platform and to increase sales, the E-sellers should adopt well-developed marketing strategies that will help the E-sellers, not only to retain the existing online customers but also to attract the potential customers. To develop good marketing strategies, it is crucial for the E-sellers to first understand the behavior of online customers. Previous studies have shown that customers compare the prices of the products, study its features and look at the after sales facilities provided by the E-sellers. Many factors influence the buying behavior of the customers in the online mode. One significant factor among all is gender. Gender plays a crucial role in the behavior of customers while they shop online. This study addresses the role of gender in the attitude of customers toward online shopping. The study is based on an empirical research method. The data are collected from 91 respondents through a self-designed questionnaire through convenience-sampling method and the sample includes online shoppers from Dakshina Kannada district, Karnataka, India.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Online shopping, Customer attitude, Gender, E-sellers

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cleft of lip and palate provided most common consecutive congenital anomalies which affect the mouth and related structures of human being. The cleft occurs when certain body parts and structures do not fuse together during fetal development. The clefts have a complex etiology with genetic and environmental playing role. It is seen that about 20% of birth defects are caused by genetic or hereditary factors and about 10% of birth defects are caused by environmental factors such as infection, radiation, pollution, biomedical and hazardous waste and drugs etc. The frequencies of different genetic disorders depend upon various factors such as genetic background of the population and the type of environment to which the population is exposed. This article main aims to the review and analysis in the point of geographical mind of congenital anomalies associated with cleft lip and palate among Infants.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Congenital Defects, Cleft lip and Palate, Infants, Geographical analysis, Environmental 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

 Keywords

Key words: Aerobic endurance , BMI , Physical activity , trunk muscle endurance

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

India is a vast country, and while counterfeit notes of Rs.100, 500, and 1000 were always in circulation before demonetization, counterfeit notes of new Rs.50,200,500, and 2000 have also surfaced in a short period of time, posing a threat to the country's economic progress. Counterfeiting issues have emerged in recent years as a result of technology advancements in colour printing, duplication, and scanning. The recognition and verification on paper cash using digital image processing techniques is detailed in this article. The image of the currency is used to extract the properties, which are then compared to the characteristics of actual currency. Image processing techniques will be used to recognise and verify the cash. Picture processing, edge detection, image segmentation, characteristic extraction, and image comparison are among the components of the method. The expected consequences will be the text and vocal output of the identified and authenticated currency.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Currency Recognition, Image Processing Technique, Image Segmentation Character Extraction, Currency Verification

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Creative Commons Attribution 4.0 and The Open Definition