Year-2024 http://repository.iiitd.edu.in/xmlui/handle/123456789/1723 2026-05-04T20:18:14Z 2026-05-04T20:18:14Z Ayyagari, Krishna Deb, Sujay (Advisor) http://repository.iiitd.edu.in/xmlui/handle/123456789/1885 2026-04-15T22:00:27Z 2024-12-01T00:00:00Z

Development of open source multicore system Ayyagari, Krishna; Deb, Sujay (Advisor) This project aims to create an open-source, cache-coherent multicore system that uses the combined processing power of multiple cores arranged in a network-on-chip (NoC) architecture. This semester, the project focused on understanding and implementing the basics of NoC architectures. It started with a detailed study of NoC concepts, including routing techniques and their importance in multicore systems. A simple 2x2 NoC model was developed to test basic functionality and identify challenges related to scaling and performance. In parallel, work was done on the Ibex core, an open-source RISC-V processor developed by the lowRISC community. Functional codes were successfully run on the core, providing insights into its design and capabilities. The study also covered cache coherence, focusing on its role in maintaining data consistency across cores, laying the groundwork for tackling these challenges in future work.

2024-12-01T00:00:00Z Soam, Satyam Singh Grover, Anuj (Advisor) http://repository.iiitd.edu.in/xmlui/handle/123456789/1866 2026-04-09T23:11:34Z 2024-11-29T00:00:00Z

Development of large language models and tools to study patents and develop insights Soam, Satyam Singh; Grover, Anuj (Advisor) The project titled "Development of Large Language Models and Tools to Study Patents and Develop Insights" aims to use advanced AI to help analyze and understand patent information better. With more patents being filed each year, there is an increasing need for tools that can handle lots of information and find useful insights. This project focuses on creating and using large language models (LLMs) designed to read, analyze, and summarize patent documents. The main functionality of this project is to provide detailed information about patents, like titles, summaries, claims, inventors, filing dates, and legal status. By making use of advanced natural language processing (NLP) techniques, this project will automatically extract and organize this information, making it easy to find and search. The project will also include tools to spot trends, perform smart searches, and create insights from patent data, helping researchers, inventors, and legal professionals. The successful completion of this project will create a strong platform that makes it easier to get and analyze patent information and offers advanced features for deeper insights into patents, technology, and innovation trends. This will save time and effort in patent analysis, help make better decisions, and give a better understanding of global innovation. The platform will also support comparing studies and competitive intelligence, giving users an advantage in their fields.

2024-11-29T00:00:00Z Sharma, Nootan Kumar, Nitin Shankhwar, Kalpana (Advisor) http://repository.iiitd.edu.in/xmlui/handle/123456789/1865 2026-04-09T23:07:37Z 2024-11-27T00:00:00Z

Development of a haptic device for surgical training in mixed reality Sharma, Nootan; Kumar, Nitin; Shankhwar, Kalpana (Advisor) This project focuses on designing a haptic device integrated into a virtual reality (VR) environment to enhance surgical training. Combining force feedback, sensor integration, and 3D modeling, the device offers a realistic simulation of surgical procedures. Using Unity for simula- tion, Blender for 3D modeling, and precise sensors for feedback, the system aims to bridge the gap between theoretical learning and practical expertise. The innovation lies in its immersive, interactive design and its potential for reducing errors in surgical training.

2024-11-27T00:00:00Z Kumar, Mintu Grover, Anuj (Advisor) http://repository.iiitd.edu.in/xmlui/handle/123456789/1864 2026-04-09T22:55:24Z 2024-11-27T00:00:00Z

B.Tech project in enterpreneurship:collegemate Kumar, Mintu; Grover, Anuj (Advisor) This project focuses on addressing challenges faced by college students through a unified platform called Homiese. Initially conceived as "CollegeMate," the project evolved to better cater to students’ needs for mentorship, social interaction, and personalized guidance. Homiese integrates features like community building, mentorship networks, and AI-powered assistance to simplify college life and foster collaboration. By leveraging technologies like web scraping and LLM integration, the platform aspires to transform the student experience into one of connection and growth.

2024-11-27T00:00:00Z