The Faculty of Computer Science Graduation Project Discussions – Spring 2026
The Faculty of Computer Science at October University for Modern Sciences and Arts (MSA) successfully held the Spring 2026 Graduation Project Discussions. The event brought together graduating students, distinguished internal and external examiners, and faculty members in an academic setting that highlighted innovation, research excellence, and applied technological solutions.
During the discussions, students presented a diverse range of graduation projects that addressed real-world challenges across multiple high-demand fields. The projects reflected a strong integration of theoretical knowledge with practical implementation, showcasing students’ creativity, technical competencies, and problem-solving abilities. Evaluation committees rigorously assessed each project and provided constructive feedback aimed at enhancing both the academic quality and professional readiness of the graduating cohort.
Key Project Domains
1. Artificial Intelligence & Machine Learning
Projects in this domain demonstrated advanced applications of AI in areas such as:
* Skin cancer classification using transformers
* Digital twin systems with predictive maintenance capabilities
* Food image classification
* Automatic lecture and video transcript summarization
* AI-powered voice assistants
* Recommendation and prediction systems
2. Smart Systems & Internet of Things (IoT)
Students developed intelligent systems aimed at improving efficiency and responsiveness:
* Smart queue management systems
* Smart emergency medical response systems
* Smart monitoring solutions
3. Cybersecurity
Projects focused on strengthening digital security and threat detection:
* Network security tools for analysis and automated threat mitigation
* Early detection of suspicious behaviour systems
* Security monitoring frameworks
4. Healthcare Applications
Innovative solutions were designed to support healthcare services and decision-making:
* Arabic medical question answering systems
* Business-oriented health applications
* Medical decision support systems
5. Computer Vision
This domain included advanced visual computing applications:
* Image colorization using GANs
* Computer vision–based home meditation assistant
6. Web Platforms & Management Systems
Students developed scalable digital platforms and management solutions:
* Intelligent web portals
* Decentralized social media platforms
* Management and service systems
7. Diverse Emerging Fields
Additional projects explored a wide range of modern technologies, including:
* Natural Language Processing (NLP)
* News and event extraction systems
* Education technology solutions
* Multimedia analysis
* Blockchain and decentralized applications
* Business automation systems
* Data analytics applications
Overall, the distribution of projects reflects a strong emphasis on the application of artificial intelligence across multiple sectors, particularly healthcare, education, cybersecurity, and smart services—making AI the most prominent and widely adopted direction among this year’s graduation projects.
The Faculty extends its sincere appreciation to all internal and external examiners for their valuable contributions and continuous support in maintaining academic excellence. We also congratulate our graduating students and wish them continued success in their future academic and professional journeys.
