IIIT-Delhi Institutional Repository

Browsing BTech Projects by Title

Browsing BTech Projects by Title

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  • Mobility Assistant for the Visually Impaired 
    Verma, Arsh; Gupta, Anubha (Advisor); Arora, Chetan (Advisor); Balakrishnan, M. (Advisor) (IIIT- Delhi, 2021-05)
    Scene Text Recognition (STR) refers to the task of recognition of text in natural scenes. The success of OCR models is hard to achieve on natural scene images due to a variety of challenges, including - variation in ...
  • Model explainability - in Context of Argument Mining 
    Yadav, Anunay; Chakraborty, Tanmoy (Advisor); Akhtar, Md. Shad (Evaluator); Bagler, Ganesh (Evaluator) (IIIT-Delhi, 2021-12)
    Argument mining is a rising research area in natural language processing, the goal of which is to extract argumentative structures from natural language texts. Such components contain a lot of information not only limited ...
  • Most navigable path using landmarks 
    Mittal, Abhishek; Sharma, Ishan; Gunturi, Venkata M. Viswanath (Advisor) (2017-04-18)
    In this paper we will be mentioning the various facets of our research project. We will go through the need to solve the problem of navigability and its relevance to today’s world. We have compared this model to the existing ...
  • Motion forecasting 
    Prachi; Anand, Saket (Advisor) (IIIT-Delhi, 2023-12-12)
    The prediction of multi-agent behavior is crucial for the development of advanced human-robot interactive systems, particularly in domains like self-driving cars. Existing trajectory forecasting methods often lack the ...
  • Multi-agent task planning and allocation 
    Wadhwa, Mohit; Sujit, PB (Advisor) (2017-04-18)
    We study the problem of multi-agent task allocation and planning with local communication between agents. Centralized planning algorithms for task allocation limits the range of the mission and the fixed location where the ...
  • Multi-modal sensor fusion for geometric and semantic scene understanding with graphs 
    Rai, Prakhar; Iyer, Anirudh R; Ananad, Saket (Advisor); Kaul, Sanjit Krishnan (Advisor) (IIIT-Delhi, 2023-11-29)
    Multimodal sensor fusion is a technique which combines data from multiple sensors for applying the combined data in an effective manner which would provide a better understandning of the environment. In some cases such as ...
  • Multi-tenant cache design for smart NICs 
    Kaif, Mohammed; Mittal, Shivansh; Shah, Rinku (Advisor); Deb, Sujay (Advisor) (IIIT-Delhi, 2023-11-29)
    Cloud providers host tenant applications on the shared server infrastructure and provide isolation by leveraging virtualization solutions such as virtual machines (VMs), containers, or serverless. The current virtualization ...
  • Multimodal deep learning 
    Sood, Raghav; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (2020-05-31)
    Modality refers to how something happens or is experienced. It is the representation format in which information is stored. Multimodal Learning involves relating information from multiple sources. Many modalities are ...
  • Multimodal misinformation analysis 
    Mathur, Himanshi; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2022-05)
    The first study is based on classification of fake video detection. Filtering, vetting, and verifying digital information is an area of core interest in information science. Content present online in the format of news, ...
  • Multiprocessor scheduling with rejections: theory and practice 
    Gehlot, Gaurav; Das, Syamantak (Advisor) (IIITD-Delhi, 2019-04-25)
    We consider the classical on-line load balancing problem of temporary tasks under restricted assignments. Each job can be processed only on a subset of machines, different jobs require a different amounts of processing ...
  • My JEE mentor 
    Pandita, Ayushman; Kumar, Akshay (Advisor) (IIITD-Delhi, 2019-07-10)
    For this project, I have started a venture ‘My JEE Mentor’ which connects current JEE aspirants with previous JEE Toppers and help seek Personal Mentorship from them. We charge our customers for our services and pay a ...
  • NATIVE: Network Aggregation-based Tiled LIve Video strEaming 
    Rajore, Tanmay; Gambhir, Keshav; Maity, Mukulika (Advisor); Bhattacharya, Arani (Advisor) (IIIT-Delhi, 2022-12)
    Live Video conferencing has become an essential part of day-to-day lives, especially during the covid times. Due to the Pandemic, there has been a significant increase in video calling applications for official meetings, ...
  • Network analysis of normal and bipartite networks 
    Gupta, Gautam; Bera, Debajyoti (Advisor) (IIIT-Delhi, 2017-08-15)
    Enumerating maximal bicliques is essential to analyze several biological networks. For example bicliques in gene expression data helps us to maps a set of genes to their biological function. Statistical methods have been ...
  • Neural networks with topological data analysis 
    Kasliwal, Pankhuri; Anand, Saket (Advisor) (IIIT-Delhi, 2019-11-16)
    Convolutional Neural Networks are trained using a gradient descent back propagation technique which trains weights in each layer for the sole goal of minimizing training error. Hence, the resulting weights cannot be ...
  • Newsbag: a benchmark dataset for fake news detection 
    Jindal, Sarthak; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIITD-Delhi, 2019-04-15)
    The spread of fake news poses a serious problem in today’s world where the masses consume and produce news using online platforms. One main reason why fake news detection is hard is the lack of ground truth database for ...
  • NFTs: deciphering the emerging market 
    Yadav, Rupanshu; Kumaraguru, Ponnurangam (Advisor); Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2022-05)
    NFT or Non-Fungible Token is a token that certifies a digital asset to be unique. A wide range of assets including, digital art, music, tweets, memes, are being sold as NFTs. NFT-related content has been widely shared on ...
  • NLP based predictions in ICU 
    Bhatnagar, Akshala; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2021-05)
    Treatment notes from the pediatric ICU can be effectively used to construct a predictive model for the onset of shock with a lead time of 24 hours. If this disease is not diagnosed at an early stage, it can create multiple ...
  • Non-linear editing 
    Sheoran, Aashanvit; Chaudhary, Abhishek; Singh, Robin; Kumar, Yogesh; Khushalani, Manohar (Advisor) (IIITD-Delhi, 2018-07-07)
    There is a social dilemma in which men have been hurting women in ways which is not being taken care of. Therefore through this report, we will be shedding some light on different and fascinating ways like how and what ...
  • Non-linear editing 
    Sheoran, Aashanvit; Chaudhary, Abhishek; Singh, Robin; Kumar, Yogesh; Khushalani, Manohar (Advisor) (IIIT-Delhi, 2018-07-07)
    There is a social dilemma in which men have been hurting women in ways which is not being taken care of. Therefore through this report we will be shedding some light on different and fascinating ways like how and what ...
  • Novel recipe generation : cuisine constraint 
    Thakkar, Dev; Arvind K, Hiren; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-29)
    In this project, we ventured into computational gastronomy to craft AI-generated recipes that embody diverse regional cooking styles. Our methodology initially centered on a novel tokenization approach, using the GPT-2-based ...

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