IIIT-Delhi Institutional Repository

Browsing BTech Projects by Title

Browsing BTech Projects by Title

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  • Co-speech gesture generation for a hindi conversing virtual agent/robot 
    Khan, Ruhma Mehek; Gupta, Ria; Shukla, Jainendra (Advisor) (IIIT-Delhi, 2021-03-17)
    Humans make use of gestures while interacting to enhance the effectiveness of their communication. With the increasing use of humanoid robots and virtual agents, researchers have been trying to make the robots more human-like, ...
  • Code clone detection framework based on domain adaptation 
    Malhotra, Hrithik; Purandare, Rahul (Advisor) (IIIT-Delhi, 2021-12)
    Code clones are duplicate code fragments that share (nearly) similar syntax or semantics. Code clone detection plays an important role in software maintenance, code refactoring, and reuse. Most of the techniques for code ...
  • Cognitive inferencing using MEG brain data analysis 
    Tanwar, Tanmay Prashansa; Gupta, Anubha (Advisor) (IIIT-Delhi, 2021-05)
    Working Memory is the small amount of information that is stored in the brain long enough for humans to use it. It is important in many cognitive functions and aids in problem solving. The Working memory task performance ...
  • Collab VR 
    Panchal, Dushyant; Kapur, Ishan; Parnami, Aman (Advisor) (IIIT-Delhi, 2022-05)
    Virtual 3D immersive collaborative systems for remote collaboration are on the rise due to the tough times of COVID 19, where people are forced to work remotely. However, it is a cumbersome task to explore and figure out ...
  • Collective aspects of privacy in online social networks 
    Goel, Mansi; Garcia, David (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2017-11-16)
    In online social networks, users may choose to keep a lot of important information in the private domain. Users may choose to hide their location, gender, interests, and affiliations. With usage of social networks and ...
  • Combating digital video piracy: safeguarding intellectual property rights 
    Arora, Chaitanya; Sambuddho (advisor) (IIIT-Delhi, 2023-11-24)
    This research introduces an advanced watermarking methodology designed to combat digital video piracy, specifically targeting traitor tracing and identifying piraters within digital media distribution platforms. The study ...
  • A combinatorial algorithm for fault tolerant k-median clustering on a line metric 
    Anderson, Nihesh; Arora, Kushagra; Raman, Rajiv (Advisor); Das, Syamantak (Advisor) (IIITD-Delhi, 2019-04-15)
    Given a metric space X, a set of clients C X, and a set of facilities F X, such that X = F S C. the fault-tolerant k-median problem (FTM) requires to open k facilities in F so as to minimize the sum of distances from each ...
  • Community detection in networks 
    Agrawal, Chaitanya; Das, Syamantak (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2019-11-15)
    We are trying to devise a community detection algorithm for networks through modularity maximization. In this semester we further studied and understood the modularity function. We have explored semi-supervised active ...
  • A comparative analysis of large language models for code documentation generation 
    Dvivedi, Shubhang Shekhar; Pujari, Sai Leela Rahul; Vijay, Vyshnav; Lodh, Shoumik; Kumar, Dhruv (Advisor) (IIIT-Delhi, 2023-11-29)
    This paper presents a comprehensive comparative analysis of Large Language Models (LLMs) for code documentation generation. Code documentation is an essential part of the software writing process as it allows a new user ...
  • Comparing 4G internet speeds provided by different ISPs 
    Sharma, Soumya; Naik, Vinayak (Advisor) (2016-11-17)
    With multiple mobile applications for a single function in the market, there is a need to look into the resources the application utilizes as well. In this study, we focus on which resources a particular mobile application ...
  • A comprehensive comparison of strainformer transformer model and baseline machine learning models for future vaccine generation for COVID-19 
    Chilkoti, Mansi; Mohta, Shagun; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    This project aims to compare traditional baseline models, specifically the Naive Bayes model and the Long Short-Term Memory (LSTM) model, and advanced transformer models, including Strainformer and Vaxformer. The primary ...
  • Computational creativity - virtual muse generative poetry 
    Oberoi, Rishabh; Parikh, Darsh; Agarwal, Manas; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-29)
    The convergence of artificial intelligence with creative expression has given rise to the emerging field of Computational Creativity, a domain that explores the capacity of machines to generate innovative and aesthetically ...
  • Computational gastronomy: the mathematics of cooking 
    Popat, Meet; Jindal, Shourya; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-29)
    We propose to build a framework for the generative grammar of cooking analogous to that of languages (Bagler, arXiv:2211.09059, 2022). By defining a cooking recipe as a finite state language, we intend to map elements of ...
  • Computer vision applications in wildlife conservation 
    Aggrawal, Palash; Anand, Saket (Advisor) (IIIT-Delhi, 2020)
    Monitoring of protected areas to curb illegal activities like poaching and animal trafficking is a monumental task. To augment existing manual patrolling efforts, unmanned aerial surveillance using visible and thermal ...
  • Constant-time snapshots with applications to concurrent data structures 
    Singh, Aayush; Chhillar, Yash; Chatterjee, Bapi (Advisor) (IIIT-Delhi, 2023-05-09)
    This research explores the concurrent implementation of range search operations on quadtrees using Versioning of the data structure. The proposed approach utilizes time-stamped versioned lists to maintain the state of each ...
  • Context-aware face recognition 
    Kalra, Harshvardhan; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2018-07-06)
    Current face recognition systems make extensive use of class-wise disparate features drawn from faces in order to achieve state-of-the-art performances. However, there exists a multitude of information in a given image ...
  • Contextual analysis of (DE) serialization overheads 
    Chaurasia, Yashasvi; Rangwani, Vishesh; Shah, Rinku (Advisor) (IIIT-Delhi, 2023-12-05)
    With an increase in use of applications that require custom data to be moved across networks and devices, there is an increasing use of different serialization techniques. There are several serialization alternatives ...
  • Continuous glucose monitoring 
    Sahu, Sahil; Jalote, Pankaj (Advisor); Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    Diabetes is a chronic illness that affects millions of people worldwide and requires regular monitoring of a patient’s blood glucose level. Currently, blood glucose is monitored by a minimally invasive process where a small ...
  • Countercraft: counter-speech retrieval with template-based ingenuity 
    Saini, Manav; Akhtar, Md. Shad (Advisor) (2023-11-29)
    To address the issue of hate speech, the study proposes a novel method to retrieve counter speeches using templates. The templates are created by analyzing instances of hate speech in the CONAN dataset, which contains ...
  • Coupled deep learning for multi-modal retrieval 
    Keswani, Sumit; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (2017-04)
    In past few years, cross-modal information retrieval has drawn much attention due to significant growth in the multimodal data. It takes one type of data as the query to retrieve relevant data of multiple modalities. For ...

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