Abstract for FYP’s

Abstract In order to detect and recognize emotions an analysis must be done of human expressions present in multimodal forms like texts, audio, or video. In this research, we plan to, provide a solution for a content-based classification problem that is detecting and recognizing emotions from textual data. Detailed research would also be done that …

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Abstract of PUBG like project Gaming as a source of entertainment is as old as computer itself. One person shooting game has always its own craze. It is still very popular among current generation and there is no replacement of seems available in the near future. Game developers are improving their games by introducing real …

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Abstract Detection of propaganda techniques is a research and development project aimed at developing a high-quality machine learning model to detect propaganda content in online news articles. Limited work has been done in the field. Active research work related to text classification of news content began after 2016. Traditional methods of natural language processing have …

Final Year Project on Detection of Propaganda Techniques in News Articles Read More »

The basic purpose of this project is to facilitate a user, with a personal assistant who would recommend the services nearby to a user who has shifted to a new city and is unknown to the services being provided around him. The document contains a detailed version of the low level and high-level design of …

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Bone marrow transplantation (BMT) is a therapeutic process that involves replacing infectious blood-forming cells in the patient by the healthy blood stem cells donated by the donor. However, search for a donor is a complex task, as successful transplantation requires a fully Human Leukocyte Antigen (HLA)-matched donor. If such a donor is not found within …

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GraphQL is a query language for APIs and a runtime for fulfilling those queries with your existing data. It provides a complete and understandable description of the data in your API, gives clients the power to ask for exactly what they need and nothing more, makes it easier to evolve APIs over time, and enables …

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The purpose of this work is to successfully diacritize an unmarked Arabic text, using different techniques. Significant success has been achieved using a Bidirectional Long Short-Term Memory Deep Neural Network, Encoder-Decoder Model, and post-processing technique. The Tashkeela Corpus, which is available for free, has been sorted out based on the categories of texts, namely, Classical …

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Detection of propaganda techniques is a research and development project aimed at developing a high-quality machine learning model to detect propaganda content in online Social Networks. Limited work has been done in the field. Active research work related to text classification of news content began after 2016. Traditional methods of natural language processing have been …

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Due to their diverse application range, Text-To-Speech and Speech-To-Text systems, have been a central point of focus in the domain of audio processing. The use of such systems to solve medical problems, specifically related to speech impairment, is significantly important. In this regard, this project’s objective is to present a system that converts impaired speech …

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