I am an enthusiastic and driven individual currently pursuing a B.E. in Artificial Intelligence and Machine Learning, with a strong passion for creating impactful projects and solving real-world problems. My expertise lies in developing innovative solutions in the domains of deep learning, computer vision, and full-stack development.
Some of my favorite projects include:
TrackEase: An intelligent, real-time facial recognition-based attendance system leveraging ResNet-34 and Haar Cascade Classifier for scalability and efficiency.
AruVision: A robust computer vision project designed for object detection and recognition, demonstrating advanced AI techniques for real-time applications.
You can explore these and more of my work on my GitHub: mukkss.
I enjoy blending creativity and technology to craft solutions that make an impact. I'm eager to learn, grow, and contribute to projects that push boundaries!😊