
The main idea of this project is to study the recognition of monuments, as tourists can recognize the monuments by scanning them. The data of the monument will be displayed to the tourist. This initiative aims to make it easier for travelers to understand the backstories of tourist attractions. Many historical sites are devoid of information regarding the monument’s rich past and the fights that led to its creation and preservation to the present day. This project proposes an approach to recognizing monuments using Advanced deep learning techniques.

There are many self taught guitarists that view tutorials online in order to learn new songs. Beginning guitarists, however, find it difficult to execute the right technique. Playing guitar focuses mostly on left hand movement as it controls the tunes. Our Project aims to correct new guitarists techniques for their left hand by scanning their hand’s movement and correcting their finger positions. The proposed solution also captures the frequency of each played note and then produces feedback which would help players to adjust their techniques.

Hieroglyphs are symbol-based scripts, and each symbol can have various definitions. Therefore, understanding Hieroglyphs and having an accessible tool that accurately translates them to a commonly used language, such as English or Arabic, is quite the challenge. Hence, the idea of Scriba was brought about. Scriba is a mobile application that aims to resolve the issue of acknowledging the Hieroglyphs by providing an accessible gadget that scans and segments pictures of Hieroglyphic text using deep learning then translating it to a comprehensible language using a pre-made API.
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Computer Science Graduation Projects
This website is intended to share all information related to MIU Computer Science Graduation Projects.