Najaf Saeed

Passionate software engineer with a drive for creating innovative solutions and a commitment to continuous learning and improvement.

Eflorist App, Developed a comprehensive online flower shop mobile application, 'Eflorist App', using the Flutter framework, for my final year project. This user-friendly app enables customers to order fresh flowers for their loved ones, providing a seamless and convenient shopping experience. 

Storak, A multivendor online shopping app that is currently operational in Qatar. It's just like amazon where sellers list their products and buyers buy them. I am a member of the development team of this application and my responsibilities for this application are adding new screens or making changes to any type of UI, integrating API, adding new features, and bug fixes.

Improving DeepFake Detection: A Comprehensive Review of Adversarial Robustness, Real-Time Processing and  Evaluation Metrics. This paper provides a comprehensive analysis of methodologies for deep fake detection, focusing on  adversarial robustness and real-time processing. It evaluates existing detection frameworks and proposes metrics for  performance evaluation.

• Machine Learning
• Deep Learning
• DeepFake Detection
• Android Development

• WordPress
• Introduction to IOT