BTech Projects: Recent submissions

  • RealWorld clinical data synthesis using generative AI 
    Bhalla, Raghav; Panwar, Ritesh; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2022-12)
    Healthcare datasets are not easily available to researchers and innovators due to patients’ privacy and/or government regulations. We propose to create a novel pipeline for bespoke synthetic datasets matching original ...
  • AI empowered personal digital assistant 
    Garg, Ritik; Shukla, Jainendra (Advisor) (IIIT-Delhi, 2022-05)
    The number of tasks that we need to do is increasing day by day. A lot of time is wasted in planning the day and scheduling meetings with the seniors and colleagues. We plan to develop an AI algorithm to increase user ...
  • 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 ...
  • Adversarial network mining 
    Sharma, Ansh Kumar; Kukreja, Rahul; Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2021-12)
    Recent advancements in the field of graph representation learning and the introduction of algorithms like DeepWalk, LINE and Graph Convolutional Networks (GCNs) have helped achieve state-of-the-art results for tasks like ...
  • Adaptive concurrency throttling in the exascale era 
    Gupta, Raghav; Kumar, Vivek (Advisor) (IIIT-Delhi, 2022-05)
    Future multi-core processors will be heterogeneous, be increasingly less reliable, and operate in dynamically changing operating conditions. Such environments will result in a constantly varying pool of hardware resources ...
  • Decentralized education system - DESy 
    Gupta, Pratham; Mohania, Mukesh (Advisor); Garg, Anuj (Advisor) (IIIT-Delhi, 2022-05)
    Education is now often regarded as the most important contributor to a country’s economic prosperity and stability. Digitalization plays a key part in the development and progress of every area in today’s world. The education ...
  • Defending touch-based continuous authentication systems from active adversaries using generative adversarial networks 
    Mehrotra, Pragyan; Shah, Rajiv Ratn (Advisor); Kumar, Rajesh (Advisor) (IIIT-Delhi, 2021-12)
    Previous studies have demonstrated that commonly studied (vanilla) touch-based continuous authentication systems (V-TCAS) are susceptible to population attack. This paper proposes a novel Generative Adversarial Network ...
  • Dark patterns 
    Singh, Pragya; Eden, Grace (Advisor) (IIIT-Delhi, 2021-11)
    Dark patterns are user interfaces that are purposefully designed to manipulate users into taking certain actions in order to benefit a company or an organisation and are not in the user’s best interest. This report documents ...
  • AirOlfo - psychophysiological responses to olfactory stimulation 
    Gandhi, Pragya; Gupta, Aman Kumar; Wadhwa, Bhavey; Shukla, Jainendra (Advisor); Ahuja, Gaurav (Advisor) (IIIT-Delhi, 2021-12)
    Recent sherds of evidence collectively reinforce the importance of olfaction (the sense of smell) in attaining a good quality of life, primarily due to its well-established association with social, behavioral, and emotional ...
  • Edge computing for traffic surveillance 
    Shukla, Paritosh; Makkar, Rohit; Bhattacharya, Arani (Advisor) (IIIT-Delhi, 2022-05)
    With increase in urbanization, there’s a need for better transportation systems, in terms of their efficiency. To do this, an important technique is to use the running of computer vision algorithms for identifying obstructions ...
  • Analyzing images on social media for (not) using mask 
    Singh, Asmit Kumar; Mehan, Paras; Kumaraguru, Ponnurangam (Advisor); Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2021-05)
    The adoption of non-pharmaceutical interventions and their surveillance is critical for detecting and stopping possible transmission routes of COVID-19. A study of the effects of these interventions in terms of adoption ...
  • Analysing hyperbolic representations for use in recommendations in social networks 
    Kalra, Pankil; Buduru, Arun Balaji (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2021-05)
    Recommender systems play an important role in helping online users find relevant information by suggesting content that can be of potential interest to them. Different Social networks have indicated hierarchical structures ...
  • Understanding the digital dynamics of minority rights movements: case study #antiCAA Protests in India and #BlackLivesMatter in the USA 
    Jhalani, Paarmita; Sinha, Karishma; Khan, Aasim (Advisor); Mukherjee, Payel C (Advisor) (IIIT-Delhi, 2021-06)
    Protest movements have swept up in different parts of the world. In recent times, the #antiCAA protests in India and the #BlackLivesMatter protests in the USA have gained publicity and momentum as they witnessed major ...
  • Characterization of novel short proteins in the human microbiome 
    Mrinal; Gautam, Prutyay; Ray, Arjun (Advisor) (IIIT-Delhi, 2020-12)
    The project is based on applying Machine Learning tools and di erent analysis techniques to identify which protein features in metagenomes sampled from Human and Non-Human (other mammal species) microbiomes help them impart ...
  • Targeted counterspeech generation 
    Goel, Manvi; Chakraborty, Tanmoy (Advisor); Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2022-05)
    Counterspeech is regarded as an effective method to counter or negate hate speech online. Various vanilla and controlled counterspeech generation strategies have been investigated in recent years, but often a single ...
  • DAG-LIME : causal interpretability using directed acyclic graphs 
    Verma, Khushali; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2022-05)
    Widely adapted locally interpretable methods such as LIME [20] and SHAP [12] fail to capture the underlying causal relationships between the variables. They merely capture the linear and non-linear associations. These ...
  • Public wisdom matters! discourse-aware hyperbolic fourier co-attention for social-text classification 
    Grover, Karish; Chakraborty, Tanmoy (Advisor); Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2022-05)
    Social media has become the fulcrum of all forms of communication. Classifying social texts such as fake news, rumour, sarcasm, etc. has gained significant attention. The surface-level signals expressed by a social-text ...
  • Protecting sensitive nodes from misinformation diffusion in social networks 
    Kumari, Jahnvi; Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2022-05)
    With the prevalence of social media as a medium of communication in today’s society, countering the spread of fake news on the network has become an important area of study. In this work, we study the notion of competing ...
  • Collab VR 
    Panchal, Dushyant; Kapur, Ishan; Parnami, Aman (Advisor) (IIIT-Delhi, 2022-05)
    Virtual 3D immersive collaborative systems for remote collaboration are on the rise due to the tough times of COVID 19, where people are forced to work remotely. However, it is a cumbersome task to explore and figure out ...
  • Code clone detection framework based on domain adaptation 
    Malhotra, Hrithik; Purandare, Rahul (Advisor) (IIIT-Delhi, 2021-12)
    Code clones are duplicate code fragments that share (nearly) similar syntax or semantics. Code clone detection plays an important role in software maintenance, code refactoring, and reuse. Most of the techniques for code ...

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