• Visual voice activity detection using multimodal foundation models 

  Shubham; Buduru, Arun Balaji (Advisor) (IIIT-Delhi, 2025-07)

  This project explores the task of Visual Voice Activity Detection (VVAD) using only facial video data without access to audio. We evaluate the effectiveness of pretrained models including VideoMAE, ViViT, TimeSformer, ...
• 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 ...
• Design, modeling, and optimization of hybrid LiFi-WiFi networks for high-performance indoor wireless communication 

  Paramita, Saswati; Bohara, Vivek Ashok (Advisor); Srivastava, Anand (Advisor) (IIIT-Delhi, 2026-06)

  The exponential growth of bandwidth-intensive applications such as ultra-high definition (UHD) video streaming, cloud computing, augmented and virtual reality (AR/VR), and the Internet of Things (IOT) has pushed existing ...

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