Year-2024: Recent submissions

  • Deception analysis: controlled dialogue summarization 
    Arora, Arjit Singh; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2024-11-27)
    In the field of deception analysis, controlled dialogue summarization plays a critical role in dis tilling key information from witness testimonies. This project aims to develop a summarization framework for interrogations ...
  • Product launch at CiPD 
    Garg, Dhruv; Garg, Archit; Gupta, Raj; Grover, Anuj (Advisor) (IIIT-Delhi, 2024-11-26)
    In an era where personal safety remains a paramount concern, especially among vulnerable groups such as women, children, and the elderly, innovative solutions are essential to address the escalating risks of stalking, ...
  • Code generation and repo understanding using LLMs, knowledge graphs and search-based algorithms 
    Gupta, Akshit; Yadav, Nishchay; Shah, Rajiv Ratn (Advisor); Anand, Avinash (Advisor) (IIIT-Delhi, 2024-11-27)
    The increasing complexity of codebases demands advanced methods for automated code gener ation and repository understanding. This project explores the synergistic application of large language models (LLMs), knowledge ...
  • Comparing large language models with small language models for healthcare applications 
    Tiwari, Abhijay; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2024-12-01)
    Large Language Models (LLMs) have revolutionized natural language processing applications, but their computational and memory demands often overshadow their utility in resource-constrained scenarios, particularly in ...
  • AMR sense 
    Tiju, Noel Abraham; Vairamuthu, Muthuraj; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2024-12-12)
    Antimicrobial resistance (AMR) is one of the most significant global health threats of the 21st century, driven by the overuse and misuse of antibiotics and the lack of effective surveillance systems. This study leverages ...
  • Semi-synthetic scene transition generation for a video 
    Das, Abhirup; Singh, Nishant; Gupta, Anubha (Advisor) (IIIT-Delhi, 2024-12-06)
    Scene transitions are integral to video editing, enabling seamless storytelling by connecting dis tinct video segments into a cohesive visual narrative. Despite advancements in video editing tools, automated generation of ...
  • Exploring usage of covert channel in android malware bot communication 
    Chugh, Manan; Aggarwal, Manan; Chakravarty, Sambuddho (Advisor) (IIIT-Delhi, 2024-11-27)
    The rapid adoption of Android devices has been paralleled by a significant rise in Android malware, leveraging sophisticated techniques to evade detection and execute malicious activi ties. This research investigates the ...
  • Multi-dataset emotion representation learning 
    Girdhar, Samridh; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2024-11-29)
    This study aims to understand the feasibility of a stress detection model through a smartwatch using the physiological data collected for lab and real-life settings. Wearable devices such as smartwatches have the potential ...
  • Data center network technologies for AI/ML workloads 
    Singh, Ramanjeet; Shah, Rinku (Advisor) (IIIT-Delhi, 2024-12-01)
    Distributed machine learning (ML) workloads, particularly the training of deep neural networks (DNNs) and large language models (LLMs), rely heavily on efficient network communication to achieve scalability. However, network ...
  • AI/ML in healthcare: leveraging embeddings for patient diagnosis and treatment optimization 
    Malhotra, Chehak; Gopal, Mehak; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2024-01)
    This study encapsulates our progress in the integration of advanced AI models within healthcare contexts. Utilizing state-of-the-art models for new tasks, we explore their efficacy in tasks like cancer classification and ...
  • Bridging intermittent learning in rural education 
    Kumar, Rahul Ajith; Patel, Dhyan Vimalkumar; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2024-11-27)
    This BTech project initially set out to explore the development of an online platform aimed at empowering Indian homemakers through digital entrepreneurship. Recognizing the socio- economic barriers—including limited digital ...
  • Aligning large language models (LLMs) using curriculum learning in multilingual settings in education do-main 
    Dulloo, Sushane; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2024-11-27)
    Large Language Models (LLMs) have revolutionized natural language processing (NLP) with exceptional capabilities in reasoning and computational tasks, enabled by extensive pretraining on large datasets dominated by ...
  • Facial emotion database 
    Shah, Priyash; Mishra, Divyansh; Shukla, Jainendra (Advisor); Chakrabarty, Mrinmoy (Advisor); Ray, Sonia Baloni (Advisor) (IIIT-Delhi, 2024-11-27)
    This research project explores the many-sided elements of look understanding and culturally diverse profound encounters through a complex systemic methodology. Utilizing state of the art instruments, for example, OpenFace ...
  • Deep learning based electromagnetic field estimation for neural engineering applications 
    Kumar, Vickery; Kumar, Suyash; Surya, Pourav; Kosta, Pragya (Advisor); Sarkar, Shamik (Advisor); Singh, Pushpendra (Advisor) (IIIT-Delhi, 2024-12-11)
    Understanding neural activity through stimulation offers significant potential for neuroscience research and clinical applications. However, experimental setups involving magnetic or electrical stimulation, such as those ...
  • ConcurBench: a benchmark framework for evaluating LLM-generated concurrent code 
    Gupta, Kshitij; Chaterjee, Bapi (Advisor) (IIIT-Delhi, 2025-07-17)
    This thesis presents ConcurBench, a novel benchmark framework designed to evaluate the capa- bilities of Large Language Models (LLMs) in generating concurrent code. Concurrent program- ming remains one of the most challenging ...
  • Development of an interactive wall using computer vision 
    Dabas, Ram; Dagar, Kartik; Tejas, Kumar; Shankhwar, Kalpana (Advisor); Ratn, Anoop (Advisor) (IIIT-Delhi, 2024-11-27)
    This report presents the development of an Interactive Wall, a gesture-based drawing application that integrates Computer Vision, Machine Learning, and Unity to enable intuitive interaction with a virtual canvas. Using ...
  • Tech consultancy for institute administration 
    Kunal; Ishan; Vajpayee, Pankaj (Advisor) (IIIT-Delhi, 2024-11-27)
    The project titled ”Tech Consultancy for Institute Administration” aims to address the various inefficiencies faced by students and administration in a college, especially where manual tasks can be automated through ...
  • Faithfulness of LLMs in mental health conversations 
    Shah, Het Riteshkumar; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2024-11-27)
    Faithfulness is a critical aspect of effective mental health conversa- tions, particularly when Large Language Models (LLMs) are deployed as virtual therapists. While LLMs have shown great potential in facilitat- ing mental ...
  • NLP based smart robot assistant for IIITD 
    Singh, Harshvardhan; Nargotra, Pulkit; Deb, Sujay (Advisor); Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2024-11-27)
    This report presents the development of a resource-efficient college chatbot assistant using Retrieval-Augmented Generation (RAG) to handle academic and administrative queries. The system automates document preprocessing ...
  • Pixel to plate 
    Awasthy, Ieshaan; Dabas, Gunjan; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2024-12-13)
    This project, Pixel to Plate, aims to bridge computer vision and natural language processing to automate recipe generation from images of ingredients. The first phase of the project focuses on object detection, employing ...

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