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Browsing BTech Projects by Issue Date

Browsing BTech Projects by Issue Date

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  • Classification of agonist and antagonist using machine learning 
    Aggarwal, Bhavay; Ray, Arjun (Advisor) (IIIT-Delhi, 2021-05)
    Proteins are essential for carrying out the activities our cells perform. Agonist and Antagonist molecules are essential in dictating cell activities and hence the Identi cation of the action of such complexes will help ...
  • Mapping the maze : a study of internet shutdowns across the world 
    Malik, Ritik; Chakravarty, Sambuddho (Advisor); Khan, Aasim (Advisor) (IIIT-Delhi, 2021-06)
    The government regimes have frequently used internet shutdowns to curb the freedom of expression and devoice people worldwide. There could be other unintentional reasons, like power failure, device rupture, regional outages, ...
  • An extensive study on state-of-the-art c decompilers 
    Singh, Sejal; Purandare, Rahul (Advisor); Jain, Ridhi (Advisor) (IIIT-Delhi, 2021-06)
    C decompilers are often chosen by the developers when they do not have the source code available in order to either debug or understand the code. Previous studies suggest that the C decompilers are not correct; however, ...
  • Quantum control theory 
    Chhillar, Jayant; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2022)
    This report presents a literature review survey about the field of Quantum Control Theory and its applications. Concepts of control followed in classical control (including open-loop control and closed loop control) are ...
  • A structured platform for air quality data 
    Ahmad, Saad; Attri, Sudhir; Mutharaju, Vijaya Raghava (Advisor) (IIIT-Delhi, 2022-05)
    Knowledge graphs as a form of data representation have been successfully applied for various applications. They are known to capture the structural complexity and semantic relationships of data. Our goal is to develop an ...
  • Fake news detection using repositories 
    Gupta, Gavish; Singh, Shrey Kumar; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2022-05)
    A rapid growth in the amount of fake news on social media is a very serious concern in our society. Fake news are usually created by making changes to text, images, audio, and videos. To bust these fake news, there are ...
  • Prediction of disease genes using transcription factor binding pattern 
    Vimal, Anand; Kumar, Vibhor (Advisor); Chandra, Omkar (Advisor) (IIIT-Delhi, 2023-10-29)
    This study presents a novel approach leveraging machine learning techniques to analyze epigenomic and transcription factor binding patterns for the identification of key genes, including non-coding genes, associated with ...
  • Detection of DNA base modifications using machine learning 
    Mehta, Ronit; Kumar, Rahul; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2023-11-28)
    Detection of DNA base modifications Epigenetic modifications of DNA bases play an important role so, it’s important to detect the modifications in DNA. Hence, our goal is to detect and discover modifications in DNA and ...
  • Artificial intelligence in healthcare 
    Kashyap, Ritwik; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    In the realm of critical care medicine, the continuous generation of vital signs time series data from Intensive Care Units (ICUs) serves as a pivotal element for clinicians in evaluating patient prognostics and accessing ...
  • Microbiome diagnostics using functionally similar genome clustering 
    Chaurasia, Ankit; Malik, Amit; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2023-11-29)
    Advancement in the field of metagenomic research have highlighted the role of microbiomes can play ecologically and clinically contexts. So, our proposed platform will provide metagenomic researchers with a friendly user ...
  • Annotation and clustering of functional gene classes in microbiome genomes 
    Tomar, Kushagra; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2023-11-29)
    This project focuses on the annotation and clustering of functional gene classes in microbiome genomes. Microbiomes, complex communities of microorganisms, play vital roles in various biological processes. Understanding ...
  • Network inference in sparse datasets 
    Pandey, Harsh; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2023-11-29)
    This research addresses the challenge of network inference in large-scale, sparse datasets. Inspired by the Gini coefficient, we introduce a novel methodology leveraging machine learning, including the GENIE3 algorithm and ...
  • ICU embedding (AI in healthcare) 
    Aziz, Abdul; Zaid, Mohd; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    Intensive Care Units (ICUs) collect vast amounts of data, including patient vitals, often recorded as time series data. This data can be analyzed to extract meaningful data, which can aid in timely intervention, improving ...
  • Computational creativity using embeddings 
    Pandey, ayan; Arvind, Hiren; Thakkar, Dev; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-29)
  • Prediction of microbial colonization in human gut and oral microbiomes 
    Mithun; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2023-11-29)
    This study seeks to forecast microbial colonization in the human gut and oral microbiomes by examining various factors, including diet, host genetics, and environmental influences. Through the utilization of sophisticated ...
  • In-domain conquers commonsense knowledge: leveraging domain-specific toxicity attributes for explanation generation of implied hate speech 
    Yadav, Neemesh; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-29)
    Recognizing subtle and implied forms of hate speech is convoluted. Fine-tuning pre-trained language models (PLMs) to generate an explanation for an incoming implicit statement has become an active area of research. Moreover, ...
  • Unit test generation using LLMs: a comparative performance analysis of autogeneration tools 
    Bhatia, Shreya; Jalote, Pankaj (Advisor) (IIIT-Delhi, 2023-11-29)
    Generating unit tests is a crucial undertaking in software development, demanding substantial time and e↵ort from programmers. The advent of Large Language Models (LLMs) introduces a novel avenue for unit test script ...
  • Genome-wide association study (GWAS) project 
    Agrawal, Sidhant Kumar; Sengupta, Debarka (Advisor) (IIIT-Delhi, 2023-11-29)
    The BTP report explores the integration of cutting-edge genomics and precision medicine into a comprehensive platform named GenomeX. With a focus on Genome-wide Association Studies (GWAS), the report delves into the ...
  • RNN based molecule generation for developing novel therapeutics for neurodegenerative diseases 
    Sibin; Vaishnavi; Murugan, N Arul (Advisor) (IIIT-Delhi, 2023-11-29)
    Neurodegenerative diseases pose a significant global health challenge, necessitating innovative approaches for drug discovery. This study explores the application of recurrent neural networks (RNNs) in the generation of ...
  • Development of chemsules 
    Pankajbhai, Rathod Kunal; Tyagi, Sarthak (IIIT-Delhi, 2023-11-29)
    Chemsules introduces a revolutionary approach to carcinogenicity assessment, anchored by the precision-driven Metabokiller machine learning model. Catering to a diverse user base, including researchers, scientists, industry ...

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