About

Anushka Agarwal is a dedicated and passionate Research Intern at the Air Lab in Carnegie Mellon University, with a strong background in Computer Science and Business Systems. She is skilled in various areas of machine learning, including Deep Learning, Computer Vision, and Natural Language Processing. Anushka is an active contributor to open source projects and enjoys working on new projects that challenge her skills. Anushka's experience in object detection and tracking based on drone-based image and video capture is impressive, and she is constantly looking for ways to improve her skills in this area. She has worked as a Research Intern at the Computer Vision Research Society, where she worked on video deblurring and video action recognition for low-resolution videos. She also has experience in pose estimation and graph neural networks. Anushka is a highly motivated individual who is always eager to learn new things. She is an excellent communicator and enjoys sharing her knowledge with others. She has a YouTube channel where she records explanations and code-walkthroughs of her projects. Anushka's website is a testament to her skills and achievements, and it is a great resource for anyone interested in learning more about her. Anushka's education background includes a Bachelor of Technology in Computer Science from SRM University, where she is currently a pre-final year student. She is proficient in various programming languages, including Python, JavaScript, and Django. She is also skilled in using various machine learning frameworks, including TensorFlow, PyTorch, and Flask. Overall, Anushka is a talented and driven individual with a bright future in the field of machine learning. Her passion for learning and her dedication to her work make her an asset to any team.