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<title>BTech Projects</title>
<link>http://repository.iiitd.edu.in/xmlui/handle/123456789/447</link>
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<pubDate>Sat, 04 Apr 2026 13:13:47 GMT</pubDate>
<dc:date>2026-04-04T13:13:47Z</dc:date>
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<title>Cloud labs</title>
<link>http://repository.iiitd.edu.in/xmlui/handle/123456789/1740</link>
<description>Cloud labs
Singh, Aditya; Darak, Sumit J. (Advisor)
Cloud Labs enable hardware based courses in remote environments and developing self paced learning modules. The integrated hardware and software solutions developed allow for remote access to physical labs and offer a virtual lab experience to anyone, anytime from anywhere. Our solution support a wide range of hardware platform and enable greater access to physical board. It’s also enable us to interact with physical button present on board like restart, etc. Apart form accessing hardware cloud labs also consist of feature like course management where you can upload tutorials, view Pending slots, Course description, TA details, Course rating, Statistics of slot booking, Student registered and many more. Overall, Cloud Labs seem to address the challenges of providing hands-on learning experiences in remote settings. By combining hardware access with virtual interfaces and including course management features, it appears to be a robust solution for educational institutions and learners seeking practical and interactive learning experience.
</description>
<pubDate>Fri, 26 Apr 2024 00:00:00 GMT</pubDate>
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<dc:date>2024-04-26T00:00:00Z</dc:date>
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<title>B.Tech project on functionally redundant genome clusters</title>
<link>http://repository.iiitd.edu.in/xmlui/handle/123456789/1739</link>
<description>B.Tech project on functionally redundant genome clusters
Reddy, Vemula Thushar; Arvind; Ghosh, Tarini Shankar (Advisor)
This project aims to develop computational pipelines to cluster microbiomes from different geographic locations and disease phenotype based on the similarity in their functional signatures. This initiative has built an extensive database of functional feature count matrices for 71,140 high-quality metagenomes from their annotation files. The database will give information about several functional features like the Carbohydrate active enzymes for different microbial species, Orthologous groups, KEGG reaction pathways, etc. Locality-sensitive hashing techniques have been deployed to find the cluster of functionally similar genomes/taxa as well as similar microbiomes based on the functional profiles. This framework will be implemented to develop better diagnostic methodologies for the human gut microbiome.
</description>
<pubDate>Wed, 29 Nov 2023 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://repository.iiitd.edu.in/xmlui/handle/123456789/1739</guid>
<dc:date>2023-11-29T00:00:00Z</dc:date>
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<title>Adaptive algorithms for control of robots</title>
<link>http://repository.iiitd.edu.in/xmlui/handle/123456789/1738</link>
<description>Adaptive algorithms for control of robots
Natarajan, Ashwin Ram; Roy, Sayan Basu (Advisor)
Adaptive control is essential for the successful operation of robots in unknown environments. Existing literature involves the use of mathematical assumptions and regression techniques for estimation. This BTP develops an online neural network based approach for the control of a source seeking robot.
</description>
<pubDate>Mon, 29 Apr 2024 00:00:00 GMT</pubDate>
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<dc:date>2024-04-29T00:00:00Z</dc:date>
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<title>Identifying and monitoring KPIs and optimising timetable for Delhi’s public bus network</title>
<link>http://repository.iiitd.edu.in/xmlui/handle/123456789/1737</link>
<description>Identifying and monitoring KPIs and optimising timetable for Delhi’s public bus network
Madan, Ayush; Biyani, Pravesh (Advisor)
The primary goal of this project is to identify and develop a system to monitor Key Performance Indicators (KPIs) that can enhance the efficiency of Public Bus Services in Delhi. Valuable insights can be gained by meticulously analyzing various aspects of public bus networks, such as GPS data of buses, duty schedule, route length, operating frequency, etc.. These KPIs can then be utilized to optimise the current timetable to ensure the buses complete their trips on time 90% of the time.
</description>
<pubDate>Mon, 13 May 2024 00:00:00 GMT</pubDate>
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<dc:date>2024-05-13T00:00:00Z</dc:date>
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