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 ...
  • Accurate coresets 
    Ranjan, Sanskar; Shit, Supratim (Advisor) (IIIT-Delhi, 2024-12-04)
    This report shows my work where I introduced a unified framework for constructing accurate coresets in machine learning. Accurate coresets are weighted subsets of the original data that preserve the loss function of a ...
  • Achieving multi-robot coordination through optimal reasoning and minimal communication 
    Ali, Wasif; Verma, Vipul; Shandilya, Bhanu; Kundu, Tanmoy (Advisor) (IIIT-Delhi, 2024-11-27)
    This research solves a major problem in multi-robot systems that how robots can work together and make consistent decisions even when they don’t share the same information, all while minimizing the need for constant ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Alteration in spin transport of a modified magnetic tunnel junction due to resonant tunneling 
    Abhisri, Arya; Ghosh, Ram Krishna (Advisor) (IIIT-Delhi, 2024-04-29)
    This study explores potential improvement in the efficiency of traditional Magnetic Tunnel Junctions (MTJ) through utilisation of an altered double MTJ with a non-magnetic metalllic spacer (tungsten) for resonant tunneling. ...
  • AMR sense 
    Tiju, Noel Abraham; 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 ...
  • 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 ...
  • Application of DL in NER in recipes 
    Singh, Ritisha; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2024-12-01)
    Named Entity Recognition (NER) is a pivotal technique for extracting structured information from unstructured or semi-structured data. This project focuses on applying deep learning (DL) tech niques to NER for ingredient ...
  • 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 ...
  • Augmented reality game design development in unity 
    Prasad, Suvrat; Sandeep, T; Shankhwar, Kalpana (Advisor) (IIIT-Delhi, 2024-11-27)
    This thesis shows the development of a novel framework which is designed to make dynamic interaction between virtual objects and real-world objects in an augmented reality (AR) envi ronment. This framework is designed to ...
  • 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. ...
  • Automatic partitioning of parallel programs on heterogeneous multicore processors 
    Kansal, Rohak; Gupta, Samridh; Kumar, Vivek (Advisor) (IIIT-Delhi, 2024-11-27)
    With the advent of hybrid CPUs integrated with GPUs, achieving peak performance and energy efficiency necessitates the effective utilization of all available resources. This project explores workload partitioning strategies ...
  • Autonomous indoor mobility with augmented physical testbed 
    Vhavle, Vishwesh; Sharma, Jatin; Kaul, Sanjit Krishnan (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 ...
  • 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 ...

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