BTech Projects: Recent submissions

  • Fragmentation mitigation for C+L band in elastic optical networks 
    Singh, Abhishek Pratap; Mitra, Abhijit (Advisor); Srivastava, Anand (Advisor) (IIIT-Delhi, 2021-05)
    The extensive growth in the demand for network bandwidth has created new challenges for net- work operators in the last few years. Traditional optical network technology is no longer enough to handle the massive bandwidth ...
  • Where and what to comment 
    Sharma, Abhinav; Purandare, Rahul (Advisor) (IIIT-Delhi, 2021-05)
    Commenting is described as the process of placing Human Readable Descriptions within a com- puter program/code that summarizes the functionality of the code within which the description is written. The strength of a good ...
  • Students claim processing system 
    Gupta, Abhimanyu; Prasad, Bijendar; Lohan, Shubham; Mohania, Mukesh (Advisor); Goyal, Vikram (Advisor) (IIIT-Delhi, 2022-05)
    The existing system for claim processing at the institute is quite conventional and requires too much human effort. In its current state, the process of managing and approving the claims is completely man-powered with heavy ...
  • Route detection of DTC buses and Delhi pollution analysis 
    Mozumdar, Aaloke; Biyani, Pravesh (Advisor) (IIIT-Delhi, 2022-05)
    The bus location data received by Chartr from DTC does not have information about the route that buses are on at a particular time of the day. This information creates a major hindrance in unifying the data with the location ...
  • Analysing social media for COVID positive cases 
    Singhal, Sonali; Pandey, Tanisha; Kumaraguru, Ponnurangam (Advisor); Shah, Rajiv Ratn (Advisor) (IIIT- Delhi, 2020-05)
    The COVID19 pandemic, a public health emergency which broke out globally in December 2019 and is still going on, has put us all into an unprecedented situation where there are strict limitations on physical social interaction ...
  • Fairness in entity matching 
    Agrawal, Sankalp; Rawal, Jay; Mohania, Mukesh (Advisor); Padmanabhan, Deepak (Advisor) (IIIT- Delhi, 2021-05)
    Entity matching (EM) has been one of the long-standing challenges in databases domain. Tra- ditionally, the approaches for EM focuses on developing matching algorithms and works on pairwise similarity between attributes. ...
  • Emoji analysis: a study on the use of skin tone modifiers on social media 
    Bansal, Tanmay; Kumaraguru, Ponnurangam (Advisor) (IIIT- Delhi, 2020-12)
    In 2015, Unicode introduced five different skin tone modifiers, that could be applied to the existing emojis that denoted humans. In this project, we analyze how people pose certain personalities using emoji skin colour ...
  • 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 ...

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