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<title>Electronics and Communication Engineering</title>
<link>http://repository.iiitd.edu.in/xmlui/handle/123456789/140</link>
<description>ECE</description>
<pubDate>Sat, 11 Apr 2026 11:20:06 GMT</pubDate>
<dc:date>2026-04-11T11:20:06Z</dc:date>
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<title>Development of large language models and tools to study patents and develop insights</title>
<link>http://repository.iiitd.edu.in/xmlui/handle/123456789/1866</link>
<description>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.
</description>
<pubDate>Fri, 29 Nov 2024 00:00:00 GMT</pubDate>
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<dc:date>2024-11-29T00:00:00Z</dc:date>
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<title>Development of a haptic device for surgical training in mixed reality</title>
<link>http://repository.iiitd.edu.in/xmlui/handle/123456789/1865</link>
<description>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.
</description>
<pubDate>Wed, 27 Nov 2024 00:00:00 GMT</pubDate>
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<dc:date>2024-11-27T00:00:00Z</dc:date>
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<title>B.Tech project in enterpreneurship:collegemate</title>
<link>http://repository.iiitd.edu.in/xmlui/handle/123456789/1864</link>
<description>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.
</description>
<pubDate>Wed, 27 Nov 2024 00:00:00 GMT</pubDate>
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<dc:date>2024-11-27T00:00:00Z</dc:date>
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<title>LabVIEW based interfacing of SDR with RIS hardware for non-line of sight communication</title>
<link>http://repository.iiitd.edu.in/xmlui/handle/123456789/1862</link>
<description>LabVIEW based interfacing of SDR with RIS hardware for non-line of sight communication
Kumar, Tushar; Kundu, Debidas (Advisor)
</description>
<pubDate>Wed, 27 Nov 2024 00:00:00 GMT</pubDate>
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<dc:date>2024-11-27T00:00:00Z</dc:date>
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