IIIT-Delhi Institutional Repository

Browsing BTech Projects by Title

Browsing BTech Projects by Title

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  • Katyal, Akshyta; Gupta, Anushika; Shukla, Jainendra (Advisor) (IIIT- Delhi, 2021-05)
    Stress is natural, especially during this unprecedented COVID-19 crisis that has brought various emotions and challenges. However, stress experienced over an extended period can lead to serious health problems. It is ...
  • Garg, Yuvraj; Balooja, Mudit; Mutharaju, Vijaya Raghava (Advisor) (IIIT-Delhi, 2022-12)
    Medical information from various sources has to be integrated and compiled together to provide a better understanding of a patient’s health. Mappings between different standards and domain ontologies are constructed to ...
  • Sindhwani, Ishita; Baghler, Ganesh (Advisor) (IIIT-Delhi, 2023-05-09)
    In response to the escalating demand for the generation of novel and diverse cooking recipes, this research in Natural Language Processing introduces a new tool—Ratatouille. The tool utilizes various Deep Learning models, ...
  • Nayak, Shivanshu; Raj, Rahul; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-28)
    The project aims to develop the Chef Turing Test to assess a machine's capacity to emulate a human chef's culinary skills and knowledge. This test encompasses various criteria, including recipe creation, ingredient knowledge, ...
  • kaur, Gurmehak; Chatterjee, Bapi (Advisor); Supratim (Advisor) (IIIT-Delhi, 2023-11-27)
    This BTech project aims to explore the use of two pivotal concepts in machinelearning: coresets and federated learning. Leveraging insights from the AIsummer school hosted by the esteemed advisors in these domains, this ...
  • Kaur, Hunar; Bhan, Sadhvi; Kumar, Dhruv (Advisor) (IIIT-Delhi, 2023-11-29)
    The contemporary college landscape is characterized by an abundance of academic courses and diverse learning paths, posing a challenge for students to navigate and optimize their academic journey efficiently. Young adults ...
  • Gupta, Arsh; Makkar, Kshitij; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-29)
    With growing diversity in personal food preference and regional cuisine style, personalized information systems that can transform a recipe into any selected regional cuisine style that a user might prefer would help food ...
  • Ahuja, Aditya; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-29)
    Recent advancements in speech applications prominently feature Deep Learning, driving significant progress in the challenging task of separating speech signals from multi-speaker speech mixtures. Speech Separation models ...
  • Wason, Mahika; Sethi, Tavpritesh (Advisor) (IIIT- Delhi, 2020-12)
    Hypothermia is a critical condition in which the human body starts to lose heat faster than it can produce resulting in extremely low body temperatures. Specifically, when the core body temperature drops below 95 degrees, ...
  • Sharma, Raghav; Kumar, Shobhit; Shankhwar, Kalpana (Advisor) (IIIT-Delhi, 2023-11-29)
    In the digital age, use of batteries has increased manifold and thus, our dependence on them. It becomes critical that we are able to accurately predict the remaining charge and the state of health of the battery for safe ...
  • Reddy, Vemula Thushar; Arvind; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2023-11-29)
    This project aims to develop computational pipelines to cluster genomes based on the similarity in their functional signatures and to identify functionally redundant genome clusters. This initiative has built an extensive ...
  • Gupta, Aishani; Sharma, Ojaswa (Advisor) (IIIT-Delhi, 2023-10-29)
    This project aims to develop a framework to automate the gamification process of educational content. The framework shall be based on stories from NCERT textbooks for creation purposes. There are three main steps in the ...
  • Rajgaria, Abhishek; Rastogi, Preyansh; Goyal, Vikram (Advisor) (IIIT-Delhi, 2020-06)
    Subgraph isomorphism problem is one of the most frequently encountered and extensively studied in the big graph database model and in Graph Theory. Graph Sub isomorphism problem is approached with machine learning techniques ...
  • Sarkar, Arka; Singla, Utsav; Jerripothula, Koteswar Rao (Advisor) (IIIT-Delhi, 2021-05)
    With the growing population in major cities the need of groceries is essential for everyone, this makes the supermarkets get flooded with consumers looking for a quick shop, but all comes to a halt when one realises a huge ...
  • Rao, Yukti; Shah, Rinku (Advisor) (IIIT-Delhi, 2023-11-29)
    Within a hybrid cloud environment, which has proven more effective than exclusive edge or cloud setups, a request may traverse from edge-to-edge or edge-to-cloud paths as per the request’s demand. Presently, communication ...
  • Poswal, Pritish; Singh, Tanishqa Shital; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    This B.Tech project focuses on the development of the IFHP portal ie Integrated Federated Health Portal which is a portal of Tavlab currenty hosted at https:// federatedhealthplatform.tavlab.iiitd.edu.in/ . Our main task ...
  • Omar, Krishnam; Girdhar, Samridh; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2023-11-29)
    This study aims to understand the feasibility of a stress detection model through a smartwatch, in the Indian adult population using the physiological data collected for lab and real-life settings. Wearable devices such ...
  • Manas; Kedia, Piyus (Advisor) (IIIT-Delhi, 2022-12)
    The technique of alias analysis enables us to determine which memory locations can be accessed via different access paths. But finding objects satisfying aliasing sets is hard. We present a context-sensitive approach to ...
  • Pandey, Shivanshu; Ray, Arjun (Advisor) (IIIT-Delhi, 2023-11-29)
    Lipid Force Distributional Analysis: Unraveling Membrane Dynamics Cellular membranes, integral to diverse biological processes, consist of a complex interplay of lipids governing crucial molecular interactions. This study ...
  • Yadav, Parmesh; Singh, Ojasva; Mutharaju, Vijaya Raghava (Advisor) (IIIT-Delhi, 2023-12-09)
    This study explores the synergy between Large Language Models (LLMs) and Knowledge Graphs (KGs) within the domain of legal reasoning. We investigate how the integration of structured legal knowledge into LLMs can enhance ...

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