IIIT-Delhi Institutional Repository

Browsing BTech Projects by Title

Browsing BTech Projects by Title

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  • Learning speaker, emotion, age, and gender information through disentanglement of speech pre-trained representations 
    Koshal, Devyani; Buduru, Arun Balaji (Advisor) (IIIT-Delhi, 2023-11-29)
    Forensic speech science, rooted in acoustics, plays a key role in legal investigations. Among its diverse applications, automatic speaker recognition (ASR) stands as a primary task within forensic speech analysis followed ...
  • Legal text processing 
    Wadhwa, Pritish; Satija, Gitansh Raj; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2022-07)
    Legal Domain has been explored by the scientific community only upto a limited extent. While there is some amount of research available in the United States of America, the amount of research in India in the same domain ...
  • Light weight code - mix neural machine translation 
    Bansal, Subhanshu; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-29)
    In the contemporary multilingual landscape of online communication, the emergence of codemixed language, the seamless integration of multiple languages within a single utterance, has become increasingly prevalent. The ...
  • LLMs in healthcare 
    Mishra, Prateek; Raina, Aryaman; Goyal, Harshit; Kumar, Dhruv (Advisor) (IIIT-Delhi, 2023-11-29)
    This paper explores the integration of Large Language Models (LLMs), in the healthcare domain, focusing on improving accessibility, medication management, and public health awareness. The research investigates the ...
  • Local citation recommendation for scientific research papers 
    Jindal, Shivam; Goyal, Sourav; Goyal, Vikram (Advisor) (IIIT-Delhi, 2023-11-28)
    This project aims to design and develop a local citation recommendation system. The system is designed to assist users in recommending accurate and relevant citations for their scientific research papers. It can save time ...
  • Long document keyphrase extraction 
    Gautam, Dibya; Agrawal, Navneet (IIIT-Delhi, 2021-11)
    Keyphrase extraction is the task of automatically extracting a set of phrases from a document that represents the overall context of the given document. Such keyphrases can be used in multiple ways in Information retrieval, ...
  • Low resource language processing 
    Kumar, Tanya Sanjay; Shah, Rajiv Ratn (Advisor); K, Sarveswaran (Advisor) (IIIT-Delhi, 2022-05)
    Natural Language Processing has been one of the most important domain in computer linguistics in today’s world. Though there are various efficiently performing tools and models for various NLP subtasks for English, Indic ...
  • Machine learning for intensive care units 
    Sehgal, Rahul; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    Intensive Care Units (ICUs) generate extensive time series data, particularly patient vitals, holding immense potential for meaningful insights crucial for timely interventions and enhanced patient outcomes. Conventional ...
  • Machine learning in cancer genomics 
    Gupta, Taejas; Gupta, Anubha (Advisor) (IIITD-Delhi, 2019-04-28)
    Cancer is caused by an increased amount of cell growth in an area due to alterations in protein synthesis caused by mutations in certain genes known as cancer driver genes. Determining the gene regulatory network for the ...
  • Malware detection through binary analysis 
    Maheshwary, Yashit; Kurian, Deepak; Buduru, Arun Balaji (Advisor) (IIIT-Delhi, 2020-05-29)
    Malware Detection is an important problem in modern day due to the increasing frequency of malware attacks using unknown malware strains. Unlike traditional detection techniques which require a signature for each sample, ...
  • Manzar: issues with cyber censorship in India 
    Shekhawat, Sahil; Chakravarty, Sambuddho (Advisor) (2017-07-06)
    Last semester we found that the Indian government delegates censorship policies at ISP level which is inconsistent and disorganized. We filed multiple RTIs to Department of Telecommunication seeking censorship policies of ...
  • Me, myself and my killfie: characterizing and preventing selfie deaths 
    Vachher, Mayank; Kumaraguru, Ponnurangam (Advisor) (2016-11-16)
    Over the past couple of years, clicking and posting selfies has become a popular trend. However, since March 2014, 127 people have died and many have been injured while trying to click a selfie. Researchers have studied ...
  • Medical image segmentation 
    Jangu, Kushiluv; Yadav, Abhinn; Gupta, Anubha (Advisor) (IIIT-Delhi, 2023-11-29)
    Medical image segmentation is a pivotal technique in modern medical imaging, essential for enhancing diagnosis accuracy and patient care. This study explores the application of four advanced deep learning models - DermoSegDiff, ...
  • Medical image segmentation 
    Jangu, Kushiluv; Yadav, Abhinn; Gupta, Anubha (Advisor) (2023-11-29)
    Medical image segmentation is a pivotal technique in modern medical imaging, essential for enhancing diagnosis accuracy and patient care. This study explores the application of four advanced deep learning models - DermoSegDiff, ...
  • Meme analysis 
    Agarwal, Siddhant; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-29)
    Memes are highly prevalent in online social media content, making them a vital source for analysing their power in diffusing ideas online. Memes combine the appeal of visuals with compelling messages, which have the potential ...
  • Memory-efficient filter based policy iteration zero sum two player differential game for adaptive LQR 
    Singh, Mandeep; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2020-07)
    A memory efficient filter based iterative algorithm is proposed for a two-player zero sum linear differential game problem arising in the control of process systems affected by disturbances.The objective in such a scenario ...
  • Mental health copilot (a conversational assistant for support seekers on online mental health platforms(OMHP)) 
    Gaur, Bhagesh; Akhtar, Md. Shad (Advisor); Chakraborty, Tanmoy (Advisor); Srivastava, Aseem (Advisor) (IIIT-Delhi, 2023-11-29)
    This thesis presents the development of Mental Health Co-Pilot (MH-CoPilot), a novel conversational assistant designed to revolutionize the support-seeking experience on Online Mental Health Platforms (OMHPs) like Reddit ...
  • Meta-analysis of oral microbiome datasets 
    Abhishek; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2023-11-29)
    The oral microbiome is a complex ecosystem of bacteria, viruses, fungi, and other microorganisms that reside in the mouth. There has been growing interest in studying the oral microbiome in recent years, as it has been ...
  • Metric learning 
    Goyal, Harsh; Goyal, Vikram (Advisor) (IIIT-Delhi, 2023-11-28)
    Similarity metric learning is a sub-field of machine learning domain that focuses on developing techniques to measure the similarity between data points in a meaningful way. This project aims to design and develop a new ...
  • Middleware for crowd sensing systems 
    Wason, Manan; Singh, Pushpendra (Advisor) (2016-11-18)
    Nowadays, mobile devices are loaded with many useful sensors and have high computational capabilities. The sensors available on these devices provide valuable data that can be harnessed in many ways. Due to abundance of ...

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