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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 Keywords

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

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 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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 Keywords

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

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 Abstract

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 Keywords

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

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 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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 Keywords

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

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E-RATION CARD SYSTEM USING BARCODE

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Creative Commons Attribution 4.0 and The Open Definition

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

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 Abstract

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

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 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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 Keywords

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

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

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 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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 Keywords

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

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Facial expression plays a serious role in every aspect of human life for communication. It has been a boon for the research in facial emotion with the systems that produce to the terminology of human-computer interaction in real world . Humans socially interact with each other via emotions. In this research paper, we've proposed an approach of building a system that recognizes facial emotion employing a Convolutional Neural Network (CNN) which is one among the foremost popular Neural Network available. It is said to be a pattern recognition Neural Network. Convolutional Neural Network reduces the dimension for giant resolution images and not losing the standard and giving a prediction output what's expected and capturing of the facial expressions even in odd angles makes it stand different from other models also i.e. it works well for non-frontal images. But unfortunately, CNN based detector is computationally heavy and may be a challenge for using CNN for a video as an input. We will implement a facial emotion recognition system employing a Convolutional Neural Network employing a dataset. Our system will predict the output supported the input given thereto . This system can be useful for sentimental analysis, can be used for clinical practices, can be useful for getting a person's review on a certain product, and lots of more.

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Facial Emotion Recognition, Deep Learning, CNN, Image Processing.

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 Abstract

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RASP Model

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The objective of this App Permission Manager android application is to provide feature of automatic permission. Day by day Privacy concern required on android. Android doing research and implements the solution on upcoming version but what about the older version? Because so many people still using Old Android version. So here our app comes to solve the problem for that. Android 11 has a lot of useful feature for app permission but globally android older version is running and most of the people concern about their privacy. Our app implements and solves the problem for other older versions.

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Permission Manager

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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

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Distribution of medicines, Web site, NGOs, Health service.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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 Keywords

Covid 19, Economy, vaccine, response

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Creative Commons Attribution 4.0 and The Open Definition

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In the fight against COVID-19, physical distancing has proven to be the most effective way to reduce the speed of the spread of the contagious disease. People are being asked to prevent contact with each other, which reduces the chances of infection that are transmitted by physical or close contact. In the past too AI / Advanced Learning has shown promising results in a number of problems of daily life. In this project we had implemented a detailed description of how we can use Python, Computer Vision, Deep learning to monitor distancing at social places and places of work. Ensuring the process of physical distancing in public spaces and workplaces, a tool that can check if people keep a safe distance from each other by analyzing video streams from the camera, videos, CCTV footages, Monitoring people in the workplace, in factories, in stores we can include this tool in its security camera systems and can be careful if people keep a safe distance from each other otherwise or not.

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 Keywords

COVID-19, Economy, vaccine, response

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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

Text Summarization, NLP, Sentiment Analysis, Social Media, Machine Learning.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Education through the internet is becoming one of the most domineering forms of education. A lot of efforts is being put into improve the quality of learning and to improve the relationship among learners and their teachers. Advanced development in the technologies being used in the Internet. E-Shala has become very popular in Western countries like India have not yet been able to keep pace with their western counterparts as far as adaption to such a concept is concerned. new learning methodology and how do they react on it. It is in this context that paper analyzes the usage of E-Shala tools by these students of technical courses. It brings out the response analysis of the same set of students (those who use traditional learning methods only as well as those who, in addition, use E-Shala methods) on the issues bout role of E-Shala in their studies.

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E-Learning, Traditional Learning Artificial Intelligence and Machine Learning, Cloud Computing.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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 Keywords

CNN, Machine Learning, Image Processing, Feature Extraction

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 Abstract

In our day to day life we consume food and our survival is based on mainly food. A considerable amount of our food is coming from farms and other means too. These farmers do their hard work for growing and serving many lives across the country, which pays for their source of income. But due to intermediates in the selling of their final products the farmers are unable to make their profit and mostly live poor. By this project we will be able to connect farmers directly to the customer so that direct dealing of products can be accomplished. This will result in a significant decrease in the prices of the products currently available in the market as well as the profit will directly reach the farmers pocket. We are surrounded by technology but there are many people who are still unaware of the benefits of this technology or its use, by the help of this project and the support for the awareness of the projects many farmers will be able to use as well as will be taught how to use this application with its benefits.

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 Keywords

Machine Learning, Image Processing,Firebase.

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Creative Commons Attribution 4.0 and The Open Definition