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Hello there! I'm Himanshu Gautam, and I'm passionate about the fascinating fields of SLAM (Simultaneous Localization and Mapping), Perception, and Deep Learning. My GitHub repository is a reflection of my unwavering commitment to these areas of robotics and artificial intelligence.

In my journey as a robotics enthusiast, I have delved deep into the world of SLAM. I believe that SLAM is the backbone of autonomous navigation, and my GitHub showcases projects, code snippets, and resources related to SLAM algorithms, both classic and state-of-the-art. From visual SLAM using OpenCV to 3D mapping with point clouds, I'm constantly exploring and experimenting with various SLAM techniques.

Perception is the gateway to understanding the world for robots, and my GitHub portfolio reflects my passion for creating intelligent perception systems. I've implemented cutting-edge computer vision algorithms, such as YOLOv7 and Mask-RCNN, to enable real-time object detection, instance segmentation, and feature tracking. Whether it's tracking lip movements under face masks or developing robust point cloud processing algorithms, I'm dedicated to advancing the field of perception.

Deep learning is at the heart of modern robotics, and I'm deeply invested in leveraging the power of neural networks to solve complex problems. My GitHub hosts projects that span the spectrum of deep learning applications, from image segmentation using custom U-Net architectures to shark species classification for underwater robots. I'm a firm believer in harnessing the capabilities of frameworks like PyTorch, TensorFlow, and Keras to push the boundaries of what robots can perceive and understand.

My GitHub repository is not just a collection of code but a testament to my passion for pushing the boundaries of robotics through SLAM, perception, and deep learning. I invite you to explore my projects, collaborate, and join me on this exciting journey of innovation in the world of robotics and artificial intelligence. Let's make robots see, understand, and navigate the world better together!