Samar Saini

I am a final-year BTech Computer Science student with a strong foundation in artificial intelligence and data science. My academic journey has been marked by hands-on experience in deep learning, knowledge distillation, and model optimization. I have a passion for research, having published my work on plant disease classification in a Springer conference, where I achieved an impressive accuracy of 92.38% on a complex dataset.

Throughout my studies, I have developed several projects that showcase my skills in machine learning and data visualization. Notably, I created a real-time plant disease classifier using PyTorch, and I developed a dog mood prediction model that achieved 97.6% accuracy. My technical proficiency extends to various programming languages and frameworks, including Python, C++, and the MERN stack, which I utilized to build a responsive web application for doctor and patient scheduling.