Browsing by Author "Dr. Shahnewaz Siddique"
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- ItemOpen AccessLEARN THE WORLD Image Captioning Using Machine Learning Algorithm for Android Application(North South University, 2019-08) Hamdan Kaiser; Sayeda Islam Nahid; Dr. Shahnewaz Siddique; 1512080042; 1510897042Learn The World, an object learning based Android application, developed based on Machine Learning and Image Captioning. An android application that generates a description of an image that we know as image captioning. Image captioning works after recognizing the important objects, their attributes and their relationship in an image. From the following concept, we aim to designing a learning application, developed based on Image Caption using Machine Learning that detects objects from real time images (means an image taken instant) or previous taken image and describe image behavior with the help of speech descriptor with modifications. Also, our application marks each individual objects according to object annotations and lists the name of particular object on images into machine encoded text with its accuracy. Means it can be used for many purposes like recognizing objects from images, helping children to learn the surrounding behaviors, detect particular objects and so on. That means if anyone, specially a child takes a picture of an event surrounded by them the application will first introduces them with the object included in that picture. And it helps them showing accuracy of the objects present in the picture. They can see the caption and by speech descriptor they can acquired knowledge about the correct pronunciation. This application is very much informative related to children for every day’s knowledge gathering.
- ItemOpen AccessNSUECE_HELPDESK: An Intelligent Assistant for ECE Department(North South University, 2019-08-31) Mumin Az Zahira Maria; MD. Rifatul Islam Rifat; Marjana Rahman; Dr. Shahnewaz Siddique; 1430117642; 1511704042; 1510010042We have designed a chatbot for the Electrical and Computer Engineering Department of North South University, with a great deal of information about the department. It is very much structured with the data about course curriculum, faculty details, department’s necessities, and other requirements for students. As a student of Electrical and Computer Engineering Department, sometimes we don't get that much time to go here and there for a single information. Our fundamental objective for making this to save the spare time of a student. In this chatbot we planned the inquiry of users dependent on phrases, keywords and examples. It is particularly simple to have almost desired answer by giving just single word by any user. We have planned this for the student of Electrical and Computer Engineering Department as well as the outsiders who needs to think about to know any information with no problem. Looking in sites for quite a while, it is smarter to simply open our chatbot application to locate the precise information. it is connected with Google Assistant, so user just need to consider that for reacting our chatbot which is additionally very much time consuming for occupied student