Browsing by Author "Muhammad Umair Tariq Chohan"
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Item Changing of objects into words using image captioning(UMT, Lahore, 2020) Muhammad Umair Tariq ChohanThe models of image captioning usually follow a design which is an encoder and a decoder design which use pictures and highlight vectors as an addition to the encoder. Some calculations utilizes include vectors removed from the district proposition got from an item identifier. This study uses Object Relation Transformer, expanding this methodology by expressly joining data about the spatial connection between input distinguished articles through mathematical consideration. The results obtained by qualitative and quantitative approaches show the significance of such mathematical consideration for picture subtitling, prompting enhancements for all basic captioning measurements on the MS-COCO dataset.Item EDUCATIONAL INSTITUTE FINDER(University of Management and Technolog, 2017) Muhammad Naveed Basharat; Muhammad Usman Khan; Hafiz Muhammad Abdul Basit; Muhammad Umair Tariq ChohanThe main idea of this project is that students/users will be able to select the educational institute/campus of their choice program more easily. Students find it difficult to locate institutes for higher education. This also includes locating the institute with desired program, education structure, fee, faculty information, admission dates and also the scholarship programs. It is not easy to visit every institute for finding the above information. We will develop an application (Mobile + Web) for helping students/users to find the right institute. The student/user will be able to explore the educational institutes in multiple dimensions e.g. programs, admission fee, admission dates, faculty, location, scholarships. The user may opt to choose one dimension or a combination of dimension for selection of institute. The user can view/get detailed information about a campus/institute e.g. location, program, faculty, fee and scholarship. The users can add favorite tags to their profiles for getting alerts regarding their favorites