Browsing Year-2024 by Title

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  • 3D object detection for autonomous driving 
    Sheth, Dhvanil; Devaraj, Aajay; Anand, Saket (Advisor) (IIIT-Delhi, 2024-04-19)
    This thesis undertakes a comprehensive exploration of object detection technologies with a particular emphasis on their application in autonomous driving and related application settings. The burgeoning field of autonomous ...
  • Active learning for object detection 
    Goel, Atharv; Anand, Saket (Advisor) (IIIT-Delhi, 2024-12-11)
    Object detection is a fundamental task in computer vision, involving the localization and classi- fication of objects within images or video frames. However, training these models requires large amounts of labeled data, ...
  • Advertisement generator startup 
    Garg, Nitesh; Grover, Anuj (Advisor) (IIIT-Delhi, 2024-11-27)
    This report outlines the development of a startup aimed at addressing advertising challenges faced by small-to-medium scale enterprises (SMEs) through innovative, AI-driven solutions. Initially focused on enabling users ...
  • Android malware detection 
    Gupta, Mayank; Somani, Krishna; Chakravarty, Sambuddho (Advisor) (IIIT-Delhi, 2024-05-10)
    As the usage of Android mobile devices has increased rapidly, so has the occurrence of Android malware. To mitigate the risk posed by Android malware, it is important to develop effective de- tection techniques. In this ...
  • Artificial intelligence in predicting diseases from food consumption 
    Pal, Harsh Kumar; Shah, Samar Vinod; Shankhwar, Kalpana (Advisor) (IIIT-Delhi, 2024-11-27)
    The increasing prevalence of dietary-related health issues has necessitated the development of tools to analyze food consumption and its impact on health. This project explores the potential of artificial intelligence (AI) ...
  • Assessing large language models for data standardization in healthcare data interoperability 
    Bindlish, Aditya; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2024-11-25)
    A large amount of public data is being generated, but the lack of standard formats and field names makes it hard to combine and use data efficiently. This lack of standardization limits the ability to analyze and apply ...
  • Autoencoders and kalman filters for generative AI 
    Singh, Ankit Kumar; Choudhary, Aayush; Kumar, Saurabh; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2024-11-27)
    With the growing complexity of models like ChatGPT, LLaMA, and other Generative AI mod- els, which demand significant computational resources, applying them in resource-constrained environments becomes a major challenge. ...
  • Autonomous indoor mobility with augmented physical testbed 
    Vhavle, Vishwesh; Sharma, Jatin; Kaul, Sanjit K. (Advisor); Anand, Saket (Advisor) (IIIT-Delhi, 2024-05-13)
    In this project, we introduce a physical testbed that enables the integration of virtual scenarios, which allows us to develop and evaluate algorithms for localization, perception, and pathplanning in a safe and efficient ...
  • B.Tech project: barkedo-building a brand in the pet-care industry 
    Mittal, Manasva; Goel, Devanshi; Grover, Anuj (Advisor) (IIIT-Delhi, 2024-11-27)
    This report details Barkedo’s progress in its mission to revolutionize the pet care industry through strategic initiatives in event management and product development. During this quar- ter, the focus has been refined to ...
  • BOT-TA 
    Balachandran, Aarav; Anishka; Mehta, Atharva; Gupta, Nipun; Jalote, Pankaj (Advisor); Kumar, Dhruv (Advisor) (IIIT-Delhi, 2024-04-29)
    The integration of artificial intelligence (AI) in education has been a topic of interest for researchers and educators alike. This paper presents the results of a study that focuses on the use of ChatGPT, an AI-based ...
  • Comparative assessment of bias in human cognition and large language models 
    Gupta, Arnav; Garg, Parth; Yadav, Shagun; Jalote, Pankaj (Advisor); Kumar, Manohar (Advisor) (IIIT-Delhi, 2024-12-12)
    Abstract This study compares the biases in human cognition and those exhibited by large language mod- els (LLMs) compared using the same assessment instrument. The research evaluates biases across eight key parameters—gender, ...
  • 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 ...
  • Consistent vision: exploring multi-domain applications of consistency models 
    Bhagat, Amil; Jain, Milind; Subramanyam, A V (Advisor) (IIIT-Delhi, 2024-05)
    This project focuses on leveraging consistency models for downstream tasks involving the trans- lation and mapping between different modalities, such as converting visible images to their corresponding infrared representations. ...
  • Cost bias mitigation of audio deepfake detection 
    Kandpal, Sarthak; Gupta, Anubha (Advisor) (IIIT-Delhi, 2024-12-08)
    With the rapid development and advance in the field of Speech Synthesis technology, differentiation of genuine and fake audios has become increasingly challenging. This semester the project focuses on benchmarking the voice ...
  • CyberBlackhole - advanced deception framework 
    Patel, Anubhav; Chakravarty, Sambuddho (Advisor); Shah, Rinku (Advisor) (IIIT-Delhi, 2024-04-29)
    In recent times, cyber attackers have progressively become stealthier and persistent, and have come to be known as Advanced Persistent Threats (APTs). These attackers are usually state sponsored with a defined objective ...
  • Deep learning based electromagnetic field estimation for neural engineering applications 
    Kumar, Vickery; Kumar, Suyash; Surya, Pourav; Kosta, Pragya (Advisor); Sarkar, Shamik (Advisor); Singh, Pushpender (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 ...
  • Deep learning based named entity recognition 
    Oberoi, Rahul; Lakra, Saumil; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2024-12-10)
    This project focuses on developing a robust Named Entity Recognition (NER) system tailored for recipe ingredient phrases, a critical task in computational gastronomy. The proposed ap- proach employs transformer-based models ...
  • Delhi v/s Beijing: pollution comparison 
    Narayan, Anupam; Pandey, Ashish Kumar (Advisor) (IIIT-Delhi, 2024-05-12)
    This Report investigates the complex dynamics of air pollution in two megacities, Delhi and Beijing, and presents a comparative analysis of their pollution mitigation strategies and outcomes. After acquiring and preprocessing ...
  • Development of an immersive and intuitive user interface of a CAD modelling tool using virtual reality 
    Raj, Harshit; Swarnim; Shankhwar, Kalpana (Advisor) (IIIT-Delhi, 2024-11-27)
    We have done work on making a software in unity 3D which can be used in industry for 3D visualization of shapes. We are going to briefly discuss what we have done by having an introduction, literature review, methodology ...
  • 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 ...

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