Volume 9 | Issue 11 |

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

RASP Model

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Permission Manager

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Covid 19, Economy, vaccine, response

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

COVID-19, Economy, vaccine, response

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

  License

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

CNN, Machine Learning, Image Processing, Feature Extraction

  License

Creative Commons Attribution 4.0 and The Open Definition

 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.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine Learning, Image Processing,Firebase.

  License

Creative Commons Attribution 4.0 and The Open Definition