I'm a dedicated Software Engineering student at the University of Northampton with a passion for artificial intelligence, machine learning, and full-stack development. Currently in my final year, I combine academic excellence with practical experience gained through my role as an IT Manager.
My expertise spans across multiple programming languages and frameworks, with a special focus on computer vision, image recognition, and real-time data processing. I've successfully developed several projects including AI-powered plant disease detection systems and real-time emotion recognition applications.
When I'm not coding, you'll find me playing cricket, exploring new technologies, or diving into a good book. I'm always eager to take on new challenges and contribute to innovative solutions that make a real-world impact.
AI-powered mobile application that leverages TensorFlow and CNN models to detect tomato plant diseases from images, helping farmers with early diagnosis and reducing crop losses.
Real-time auction platform with live bidding functionality, auction timers, and user-friendly interface for seamless auction interactions and bid tracking.
Advanced computer vision system that detects emotions from masked individuals using sophisticated preprocessing techniques and deep learning models for enhanced accuracy.