The Capstone Project, undertaken in Semester III and extended through the Dissertation in Semester IV, is a key experiential and research component of the program that enables students to integrate knowledge from Artificial Intelligence, Machine Learning, Edge Computing, IoT, High-Performance Computing, Distributed Systems, and Generative AI to solve real-world industry and research problems. Aligned with the student’s chosen Program Elective (PE) track, the Capstone involves developing a working prototype or system in Semester III and enhancing it into a research-grade or deployable solution during the Dissertation phase, often in collaboration with industry, startups, or faculty research groups. Through this process, students gain hands-on experience in system design, implementation, experimentation, and performance evaluation, ensuring they graduate with strong technical, analytical, and innovation capabilities, making them both industry-ready and research-oriented.