麻豆传媒

Pranay has a strong command of core computer science concepts and has taught a variety of subjects, including Java 麻豆传媒ming, Foundations of Data Science, Data Mining, Data Structures and Compiler Design. His research pursuits have resulted in publications on cutting-edge topics such as handwritten text recognition using machine learning, AI-driven human-machine interaction, and offensive language detection in social media.

His research interests lie in Artificial Intelligence (AI), Machine Learning, Deep Learning, and Natural Language Processing (NLP). He is particularly passionate about exploring AI-driven automation, ethical AI, and real-world applications of AI in diverse domains.

He is also actively engaged in academic development and has contributed to institutional accreditations like NAAC and NBA. Beyond teaching, he has organized and coordinated national-level hackathons, reflecting his dedication to fostering innovation and problem-solving skills among students.

Pranay鈥檚 expertise, combined with his teaching and research experience, makes him a valuable contributor to the field of computer science and engineering.