
This research aims to develop an intelligent system that can detect and classify various liver diseases using image analysis and machine learning methods. This study will employ Ultrasound (US) imaging, which has been identified as one of the most common and affordable methods of medical imaging in Egypt to identify liver diseases in a non-invasive manner. However, due to its low price, the images may be of poor quality or lacking in detail.

The main goal of this project is to use deep learning to create a semi-humanoid robot for on-campus surveillance. It detects the users’ commands and can interact via face recognition. The primary goal of the robot is to identify undesirable and unethical behaviours among university students, such as fighting, playing cards, or smoking inside buildings. Also, gives a ticket/notification if needed. Moreover, the robot provides additional Services for students, such as that it assists students with providing them with the best route to their destination.

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.
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Computer Science Graduation Projects
This website is intended to share all information related to MIU Computer Science Graduation Projects.