BTech Projects: Recent submissions

  • Bot analysis on social media 
    Caur, Samiya; Kumaraguru, Ponnurangam (Advisor) (IIIT- Delhi, 2021-05)
    Ever since the 2014 Lok Sabha election, social media platforms such as Twitter, Facebook etc.have become a vital part of election campaigns in India with political parties investing heavily in the expansion of their ...
  • Social media data analysis - NaMo app 
    Rajpal, Rohan; Kumaraguru, Ponnurangam (Advisor) (IIIT- Delhi, 2020-12)
    This project aims to characterize the role of the NaMo app in shaping political discourse on social media. The Narendra Modi app, or the NaMo app, is the official app ofthe Prime Minister of India. It has an inbuilt social ...
  • State representation learning for reinforcement learning setting 
    Thakral, Shubham; Anand, Saket (Advisor); Kaul, Sanjit Krishnan (Advisor) (IIIT- Delhi, 2021-06)
    Most of the Reinforcement Learning(RL) tasks in today's world involve high dimensional data. Training deep reinforcement learning based models is already a very challenging task and varies lot with the choice of hyper ...
  • Recursive modeling for automated speech scoring 
    Bagga, Shaurya; Shah, Rajiv Ratn (Advisor) (2021-03)
    A lot of people are learning English around the world and take assessments every year. With the rise of candidates taking these assessments and the shortage of qualified experts rating these assessments, there is a need ...
  • Operationalizing the data quality framework : tindering datasets 
    Chug, Sezal; Kaushal, Priya; Kumaraguru, Ponnurangam (Advisor); Sethi, Tavpritesh (Advisor) (IIIT- Delhi, 2021-05)
    Data is expanding at an unimaginable rate, and with this development comes the responsibility of the quality of data. Data Quality refers to the relevance of the information present and helps in various operations like ...
  • Developing a clustering algorithm to analyse flow cytometric data 
    Vashisht, Piyush; Gupta, Anubha (Advisor) (IIIT- Delhi, 2021-05)
    The analysis of flow cytometry data requires identification of cell clusters. This clustering is done manually by applying gating techniques and by analyzing the plot scatter across each dimension. Since all of this is ...
  • Edge AI for 5G 
    Sahoo, Piyush Ranjan; Rajoria, Romesh; Darak, Sumit Jagdish (Advisor); PAU, Danilo (Advisor) (IIIT- Delhi, 2021-05)
    With recent advancements in AI algorithms, data processing for AI applications is primarily done in a cloud-based data center with deep-learning models that require massive computing capacity. The decision-making process ...
  • Fingerprinting fine-tuned language models in the wild 
    Diwan, Nirav; Chakraborty, Tanmoy (Advisor) (IIIT- Delhi, 2021-05)
    There are concerns that the ability of language models (LMs) to generate high quality synthetic text can be misused to launch spam, dis-information, or propaganda. Therefore, the re-search community is actively working on ...
  • Deployable dashboard for ICU models 
    Somannagari, Neha Reddy; Sethi, Tavpritesh (Advisor) (2021-05)
    Health care systems all around the world have an ever-growing burden of intensive care on them. Complications such as sepsis, organ failure and shock contribute to a large portion of the deaths. However they can be treated ...
  • Explainability of black box deep learning models and bias detection 
    Arora, Kushagr; Goyal, Vikram (Advisor) (IIIT- Delhi, 2021-05)
    Explanation of predictions made by black-box deep learning models has been rather challenging, especially when neither the model details nor its training data are known. Various techniques based on shadow-model have been ...
  • Analysis and modeling of content and coherence for automatic scoring of L2 speakers 
    Aggarwal, Gaurav; Shah, Rajiv Ratn (Advisor) (IIIT- Delhi, 2021-05)
    This study focuses on understanding content and coherence for Automated Oral Proficiency Scoring and Feedback Generating System in the context of spontaneous speech of non-native(L2) English learners. We aim to understand ...
  • Clique counting in graph streams 
    Vinayak (IIIT- Delhi, 2021-06)
    Clique counting is a well studied problem in low memory models like graph streaming. There are algorithms which provide good space complexity bounds for general graphs. For constant pass, approximation algorithms counting ...
  • Understanding the digital technology use amongst LGBTQ+ adults in India for well-being 
    Singh, Divyanshu Kumar; Suri, Venkata Ratnadeep (Advisor); Shukla, Jainendra (Advisor) (IIIT- Delhi, 2021-05)
    A growing body of research work exploring the experience of LGBTQ+ individuals involving digital technology has gained traction in HCI and CSCW in recent years. However, a significant amount of such work has been conducted ...
  • Signals matter: understanding popularity and impact of users on stack overflow 
    Shah, Daksh; Kumaraguru, Ponnurangam (Advisor) (IIIT- Delhi, 2020-12)
    Stack Overflow, a Q&A site on programming, awards reputation points and badges (game elements) to users on performing various actions. Situating our work in Digital Signaling Theory, we investigate the role of these game ...
  • Emerging rumours on social media (an animated short film) 
    Prasad, Chirayu; Anki, Apratim; Pushpraj; Ratn, Anoop (Advisor) (IIIT- Delhi, 2021-05)
    Animation has become an exciting medium for storytelling. It is a field where creativity can be expressed in many ways. 2D Animation is a field where stories can be expressed in ways that one deem to be unrealistic. With ...
  • Data quality and privacy action 
    Thulasidoss, Bharath Kumar; Garimella, Pavan Kumar; Sethi, Tavpritesh (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT- Delhi, 2021-05)
    In an era where the volume of data sets for a particular topic keeps increasing, it is necessary to have quality checks on the data to keep it relevant to modern learning algorithms. Quality parameters provide an objective ...
  • Course recommendation and management system 
    Garg, Avi; Agrawal, Divyam; Shah, Rajiv Ratn (Advisor) (IIIT- Delhi, 2021-05)
    Registration of courses through the current ERP system in place at the institution, poses several problems. Selecting courses based on multiple criteria like credit requirements, degree requirements, timing clashes, ...
  • AI for ICU analytics 
    Gupta, Arushi; Sethi, Tavpritesh (Advisor) (IIIT- Delhi, 2021-05)
    The healthcare system is overburdened. There are just 1.34 doctors per 1000 patients in India. Intensive Care imposes the highest burden on healthcare systems all across the globe. A significant fraction of lives lost and ...
  • 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 ...
  • Grammatical error annotation tool for Hindi 
    Singhal, Anmol; Oberoi, Tejas; Shah, Rajiv Ratn (Advisor) (IIIT- Delhi, 2021-05)
    In recent years, researchers have started putting in extensive efforts for Natural Language Pro- cessing (NLP) in the context of Indic Languages like Hindi. Tasks like Spell and Grammar Correction, which have been ...

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