Browsing Year-2023 by Title

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  • Computational gastronomy: novel recipe generation with constraint optimization 
    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, ...
  • Computational gastronomy: turing test for chef framework 
    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, ...
  • Coresets for federated learning 
    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 ...
  • Course recommender and planner system 
    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 ...
  • Cuisine fusion 
    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 ...
  • Deep learning for multimedia application 
    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 ...
  • Enhanced state of health prediction of battery using machine learning and digital twin 
    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 ...
  • Functionally redundant genome clusters 
    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 ...
  • Gamification for learning 
    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 ...
  • Hybrid-cloud communication: HTTP or MQTT? 
    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 ...
  • IFHP development 
    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 ...
  • Individual mental health monitoring using edge AI 
    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 ...
  • Lipid force distribution analysis 
    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 ...
  • LLM’s & prompt engineering 
    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 ...
  • Maternal and child healthcare 
    Azam, Mohammad Sufyan; Bajpai, Ishit; Singh, Siddhant; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2023-11-30)
    This project endeavors to establish a framework for knowledge-based digital intervention targeting improved health outcomes for mothers and children. Leveraging WhatsApp chats and Zoom audio transcripts, a web app is under ...
  • Minimum eccentricity shortest paths in undirected graphs 
    Tomer, Ashwin; Majumdar, Diptapriyo (Advisor) (IIIT-Delhi, 2023-11-29)
    This paper presents significant contributions to the study of the Minimum Eccentricity Shortest Path (MESP) problem in graph theory, with a focus on polynomial kernelization, structural parameters, and special graph classes. ...
  • Multi-modal stress detection 
    Jaiswal, Saurabh; Shukla, Jainendra (Advisor) (IIIT-Delhi, 2023-11-29)
    Feeling stressed occurs when our body and mind respond to challenging situations, and is a common aspect of life. However, if stress persists for a long time, it may negatively impact our well-being and can lead to various ...
  • Patient health record app - community chat 
    Singh, Vanisha; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    The government of India launched the National Digital Health Mission (NDHM) initiative to make healthcare more accessible by digitizing patient data and unifying processes. We, the PHR team at TavLabs, propose implementing ...
  • Personal health record app 
    Javid, Md; Khan, Raunaque; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-10-27)
    The government of India launched the National Digital Health Mission(NDHM) initiative to make healthcare more accessible by digitizing patient data and unifying processes. We propose implementing an NDHM-compliant personal ...
  • Personal health record app reward system 
    Singh, Yash Vardhan; Sethi, Tav Pritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    The goal of this project is to include a strong incentive system into the Personal Health Record (PHR) Android application in order to improve user engagement and participation. The principal aim is to incentivize users ...

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