Volume 9 | Issue 11 |

 Abstract

The planet Health Organization identifies as a serious issue the increasing of noncontagious diseases like premature heart diseases, polygenic disease and cancer, been unhealthy diets a crucial inflicting issue of such diseases. during this context, personalised nutrition emerges as a replacement analysis field for providing tailored food intake advices to people in step with their physical, physiological data, and more personal information. Specifically, within the previous couple of years many researches have planned procedure models for personalised food recommendation victimisation organic process data and user data. This paper presents a general framework for daily hotel plan recommendations, incorporating as main feature the cooccurring management of nutritional-aware and preference-aware information, in distinction to previous works that lack of this international viewpoint. The proposal incorporates a pre-filtering stage that uses AHPSort as multi-criteria call analysis tool for filtering out foods which don't seem to be applicable to the present user characteristics. Furthermore, it incorporates an optimization-based stage for generating a daily meal plan whose goal is that the recommendation of food extremely most well-liked by the user, not consumed recently, and satisfying his/her daily organic process requirements. A case study is developed for testing the performance of the recommender system.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

balanced diet, adequacy, inexperienced foliaceous vegetables, dilleniid dicot family vegetables, isothiocyanatesI.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Object detection is a computerized technology-related Computer vision and image processing. It is a technique that allows us to identify and locate objects in an image or video. With the help of this technology the identification and localization of objects or any component can be simplified, object detection can be used to count objects in a scene and determine and track their precise locations, all while accurately labeling them. Object detection algorithms typically leverage machine learning or deep learning to produce meaningful results. The goal of object detection is to replicate this intelligence using a computer. Object detection can be done more accurately using certain algorithms. OpenCV which is a python library that functions mainly on computer vision, Yolo is the most efficient real-time algorithm which is used to effectively detect an object. In deep learning, CNN TensorFlow Keras is the algorithms used to accurately locate and identify objects.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

computer vision, OpenCv, Tensorflow, Keras, yolo, CNN.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AWS Cloud, DevOps, ML, LSTM, RNN, Covid-19, dash, Plotly.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

When technology advances, the challenge of competition becomes more difficult. So, concerns about the sturdiness and adequacy of the human/developer? Will AI, however, be able to fulfill the demand? As previously said, it is an overhead for developers to remember each and every kind of syntax and cause or write every line of code. It's very feverish and time consuming. Syntactical and structural ways of programming Programmers are divided into three groups: beginner users, information intermittent users, and professional users. It is still a challenge for inexperienced users to write code that is free of typographical errors, even though they have theoretical knowledge of the programming language, its structure and syntax, as well as the logic of the software. As a result,. The main shibboleth of this paper is to devise a system for writing or developing software code with less stress and time. This system allows developers to start coding with a single press

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Voice coding, Ai, Voice Recognition, Learning, Development, Speech to text system, verification, ASR,Command

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

E-RATION CARD SYSTEM USING BARCODE

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Order system mobile application, Order all groceries, food, pharmaceuticals products, delivery mobile application, All In One Order System Mobile Application

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cloud Computing, AWS, Compiler, Programming, PAAS, Integrated Development Environment, PHP, EC2, RDS.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the course of the most recent couple of years, there has been an extraordinary change in data innovation. This remembers the different ways for which documents can be shared and put away. Android OS is a generally new versatile OS which has been consistently assuming control over increasingly more piece of the pie. Simple to utilize, simple to produce for, and open-source, it has gotten an after of engineers who need to make content for the general population. Distributed computing is pitched as the following significant advance for all types of normal data innovation use. From organizations, to non-benefit associations, to single clients, there is by all accounts different applications which can utilize distributed computing to offer better, quicker, and more brilliant registering. This paper means to join the two, assembling a cloud based application for Android, offering clients the force of distributed computing in the palm of their hand.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Watchwords Group information sharing, Anonymous, Traceability ,Cloud processing, Android, Android SDK, Information Technology.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

COVID-19, also known as the Corona Virus, caused drastic changes in culture, eventually leading to a pandemic. We suggest a deep learning-based method for detecting facial masks in videos in this paper. Using YOLO object detection on video recordings and photographs in real time, this paper focuses on a solution to help implement proper social distancing and wearing masks in public. The paper describes a tool for detecting social distancing using deep learning to assess the gap between people in order to reduce the effect of the coronavirus pandemic. The detection tool was created to warn people to keep a safe distance between them. The open-source object detection pre-trained model based on the YOLOv3 algorithm was used to detect pedestrians using the video frame from the webcam as input.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Public Safety, social distancing, Deep learning, Mask detection using AI,Convolutional Neural Networks (CNNs),OpenCV, COVID-19.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

We propose classification of abstracts by considering their context. In proposed approach, we initially classify the documents. We find the context of an abstract by looking for associated terms which help us understand the focus of the abstract and interpret the information beyond simple keywords. The results indicate that context based classification increases accuracy of classification to great extent and in turn discovers different contexts of the documents. Further this approach can found to be very useful for applications beyond abstract classification where word speaks very little and lead to ambiguous state but context can lead you to right decision/classification. Automatic question generation is part of NLP i.e. Natural Language processing, is an area of research where many researcher have presented their work and is still an area under research to achieve higher accuracy. Many researcher have worked in the area of automatic question generation through NLP and numerous techniques and models have been developed to generate the different types of question automatically and in many different languages work has been done like English, Punjabi, China, Spain, etc.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Data analytics, Sentiment Analysis, News Articles ,LSTM-RNN,Arima, Deep-Learning.

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Creative Commons Attribution 4.0 and The Open Definition