BTech Projects: Recent submissions

  • Voiceshield: innovative defence system against audio spoof attacks 
    Venaik, Utkarsh; Ahuja, Aditya; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2024-04-25)
    With the rise in the potential of artificial intelligence, there now is an increased risk of im-personation and deep fakes; one possibility of impersonation lies within audio, which we call“spoofing attacks”, wherein voices ...
  • Effective conversations via large language models 
    Rana, Abhit; Grover, Anuj (Advisor) (IIIT-Delhi, 2024-04-29)
    Interpersonal skills, or social skills, encompass individuals’ behaviors and abilities to engage and communicate successfully with others. These contain effective communication, attentive listening, understanding others, ...
  • Joint mapping and planning in multi robot systems 
    Yadav, Abhay Singh; Kaul, Sanjit Krishnan (Advisor); Anand, Saket (Advisor); Bhattacharya, Arani (Advisor) (IIIT-Delhi, 2024-04-28)
    The field of Multi Agent Reinforcement Learning The field of Multi Agent RL can model and address compplex interactions among multi-decision makers in a shared environment. There is however, a need of efficient coordination ...
  • ICU Embedding (AI in Healthcare) 
    Aziz, Abdul; Zaid, Mohd; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2024-04-29)
    Intensive Care Units (ICUs) house vast repositories of patient data, particularly vital signs recorded as time series data, offering invaluable insights into patient health dynamics. However, the sheer volume and complexity ...
  • Audio visual consistency detection 
    Pathak, Harsh; Govil, Shreedhar; Subramanyam, A V (Advisor) (IIIT-Delhi, 2019-11-16)
    With recent advancement in deep learning, it has been made possible to create fake images and videos with near perfect precision. This has led to a growing concern about the possible misuse of this technology in context ...
  • Fine-grained unsupervised tracklet matching 
    Arora, Ansh; Subramanyam, A V (Advisor) (IIIT-Delhi, 2022-05)
    Re-identification offers a useful tool for non-invasive biometric validation, surveillance, and human-robot interaction in a broad range of applications from crowd traffic management to personalised healthcare. Given the ...
  • Semi dense adversarial LSTM for unsupervised video summarization 
    Sharma, Kunal; Chaudhary, Vipin; Subramanyam, A V (Advisor) (IIIT-Delhi, 2019-11)
    Video summarization is an important step in analysing video feeds in various scenarios such as surveillance, events and other applications. However, it is a challenging task due to inherent dynamic nature of video due to ...
  • Unsupervised cross-domain adaptation of person re-identification 
    Dhawan, Siddharth; Subramanyam, A V (Advisor) (IIIT-Delhi, 2019-11-16)
    Person re-identi cation is the task of retrieving images of a query person, from a gallery of images obtained from a non-overlapping camera network. Many supervised deep learning methods have been proposed for person ...
  • Deva : one-stop devotional solution for hindus 
    Singh, Aditya; Gupta, Anurag; Chatterjee, Bapi (Advisor) (IIIT-Delhi, 2023-11-29)
    Deva, a pioneering religious technology startup, presents an innovative solution to the evolving needs of Hindu religious practice in the digital age. This report delves into the multifaceted aspects of Deva’s mobile ...
  • Analysis of data serialization overheads 
    Chaurasia, Yashasvi; Rangwani, Vishesh; Shah, Rinku (Advisor) (IIIT-Delhi, 2023-11-29)
    This paper provides an analysis of different serialization libraries on various performance and memory-related metrics. The analysis is done for different scenarios that may occur in a real world setting, in terms of ...
  • Scientific text generation 
    Prasad, Kritarth; Goel, Ujjwal; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-29)
    The project focuses on controlling text generation through Large Language Models (LLMs) using advanced prompt engineering and knowledge representation. The project aims to improve controllable citation text generation and ...
  • Validation of user's credentials using blockchain 
    Yadav, Pragyan; Duvesh, Deeksha Singh; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-29)
    The project aims to validate user credentials using blockchain technology, which can help enhance security and trust in the certification process. The platform allows employers to issue certificates to their employees, ...
  • Transforming course feedback: personalized opine surveys using language models 
    Shrivastva, Kunal; Tanwar, Henansh; Singh, Rahul; Kumar, Dhruv (Advisor) (IIIT-Delhi, 2023-11-29)
    This B.Tech project at IIIT-Delhi reimagines the traditional course feedback system, ”opine,” by transitioning to a personalized model using Language Models (LLMs). The project is designed for flexibility, allowing easy ...
  • Deciphering the genetic bias underlying in global population for lipid homeostasis 
    Samota, Praveen Singh; Ray, Arjun (Advisor) (IIIT-Delhi, 2023-11-29)
    Maintaining lipid homeostasis, the equilibrium of lipid levels, including fats and cholesterol within cells and organisms, is vital for numerous physiological functions. Disruptions in lipid homeostasis, often spurred by ...
  • ARM cortex-M3 based SoC design for drones 
    Viyaash, V.; Aggarwal, Shivanshu; Deb, Sujay (Advisor) (IIIT-Delhi, 2023-11-29)
    This project report investigates the development of a drone control system using ARM Cortex-M3 based System on Chip (SoC) and the need for indigenously designed SoCs. The objective was to interface the Cortex M3 processor, ...
  • Video and advertisement production company 
    Vardhan, Vishnu; Rahul; Grover, Anuj (Advisor) (IIIT-Delhi, 2023-11-29)
  • AI based NLP systems 
    Addala, Krishnasai; Baghel, Kabir Dev Paul; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-27)
    Despite the growing capabilities of Large Language Models (LLMs) in various domains, their proficiency in addressing domain-specific high-school physics questions remains an unexplored area. In this study, we present a ...
  • Innovative graph based transformer model for ECG data analysis 
    Jain, Nalish; Gupta, Anubha (Advisor) (IIIT-Delhi, 2023-11-29)
    In this research, we attempt to create a state-of-the-art model for the classification of the PTBXL dataset and improve upon already established metrics. Firstly, we use the previous best model, ST-CNN-GAP-5 and introduce ...
  • Online metric matching in euclidean norm 
    Marwah, Ishaan; Seth, Ritesh; Das, Syamantak (Advisor) (IIIT-Delhi, 2023-11-29)
    This report addresses the problem of online metric matching. In this scenario, a group of servers is situated within a metric space, and requests continuously arrive over time in an unpredictable manner. The objective is ...
  • Innovative graph based model for ECG data analysis 
    Oberoi, Rupin; Gupta, Anubha (Advisor) (IIIT-Delhi, 2023-11-29)
    Electrocardiography (ECG) is widely used in cardiography as a non-invasive diagnostic tool for providing a graphical representation of the electrical activity in the heart over a duration of time. It captures the electrical ...

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