Year-2024: Recent submissions

  • Splanet (Telecalli)- revolutionizing AI-powered cold calling and customer support 
    Kapoor, Janesh; Grover, Anuj (Advisor) (IIIT-Delhi, 2024-11-27)
    The competitive nature of business outreach necessitates efficient and personalized customer interactions. "Telecalli" is an innovative AI-driven platform designed to address these needs by automating cold-calling workflows, ...
  • Receptor status analysis for breast cancer using multi-modal datasets 
    Padda, Ritviek; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2024-12-12)
    Multi-modal data analysis has emerged as a crucial approach to understanding the complexities of cancer biology. This project focuses on TCGA-BRCA datasets, utilizing imaging data from the TCIA website and corresponding ...
  • Making project manager as super project managers 
    Dholaria, Parthiv Ashokkumar; Garg, Utsav; Jalote, Pankaj (Advisor); Kumar, Dhruv (Advisor) (IIIT-Delhi, 2024-11-27)
    The objective of this project is to explore the use of Large Language Models (LLMs) in au tomating aspects of software project management, starting with the objective of creating a ”Su per Project Manager” capable of ...
  • Navigating large spaces for VI 
    Chauhan, Yash; Dwivedi, Nayan; Gupta, Richa (Advisor) (IIIT-Delhi, 2024-11-27)
    This design track research project aims to create a non-visual interface for indoor navigation on smartphones, enhancing accessibility for visually impaired individuals. Employing a user centered design approach, our team ...
  • 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 ...
  • Generative genomics 
    Ali, Syed Yasser; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2024-11-26)
    1. Generative genomics leverages computational models, particularly transformer-based architectures, to create synthetic genomic data. This study explores their application through a pipeline for gene expression analysis, ...
  • Magical interaction in XR 
    Kumar, Prince; Kumar, Ayush; Ansari, Mohammad Areeb; Srivastava, Anmol (Advisor) (IIIT-Delhi, 2024-11-27)
    This project introduces a novel Magical Interaction in XR, enabling users to create floating platforms in real-time using intuitive hand gestures. These platforms act as sequential stepping stones, blending walking and ...
  • Deterministic coreset project 
    Srivastava, Atharv; Shit, Supratim (Advisor) (IIIT-Delhi, 2024-11-27)
  • Ethics of artificial intelligence surveillance 
    Babu, Ishwar; Mehroliya, Om; Kumar, Manohar (Advisor) (IIIT-Delhi, 2024-11-27)
    This BTech project critically examines the ethical dimensions of Artificial Intelligence (AI) surveillance technologies in contemporary governance and policing systems. AI surveillance, en compassing tools such as facial ...
  • Speech-to-speech machine translation for Hindi dialects 
    Sood, Sanmay; Rajput, Siddhart; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2024-11-27)
    The Indo-Aryan language family, spoken by millions across the Hindi Belt, is a vital part of India’s culture and heritage. However, many of its dialects, like Awadhi, Bhojpuri, Braj, and Magahi, are largely ignored in ...
  • Generative concurrent data structures 
    Khandelwal, Aarya; Apaar; Chatterjee, Bapi (Advisor) (IIIT-Delhi, 2024-11-30)
    The design of efficient concurrent data structures in shared-memory multiprocessor sys tems is a critical yet challenging task. Developers must optimize synchronization and communication among threads, often requiring ...
  • Computational model for emotion perception 
    Makkar, Garv; Ray, Sonia Baloni (Advisor) (IIIT-Delhi, 2024-11-27)
    This study explores the interplay between gaze patterns and the saliency of facial features to improve emotion recognition. By analyzing where observers direct their gaze when identifying emotions and assessing the saliency ...
  • Evaluation of QUIC protocol 
    Kumar, Arpan; Bhattacharya, Arani (Advisor); Maity, Mukulika (Advisor) (IIIT-Delhi, 2024-11-27)
    QUIC, for Quick UDP Internet Connections, is a transport protocol that provides improvements to traditional transport protocols through the user of low latency communication, integrated se curity, and multipath capabilities. ...
  • Data-driven strategies for nutritious diet design 
    S, Dharani Kumar; Rohilla, Aryan; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2024-12-15)
    This project develops a data-driven framework to generate personalized, nutrient-rich dietary recommendations tailored to the diverse eating habits and common deficiencies found within the Indian population. We integrate ...
  • Diabetes knowledge graph: integrating multi-source data using neo4j 
    Anand, Siddharth; Anand, Vivek; Dhanjal, Jaspreet Kaur (Advisor) (IIIT-Delhi, 2024-11-27)
    Diabetes is a globally prevalent condition with complex causes and severe complications, including Diabetic Nephropathy, Diabetic Retinopathy, Diabetic Neuropathy, Atherosclerosis, Cardiovascular Disease, Tuberculosis Type ...
  • Bus route optimization 
    Verma, Arpan; Biyani, Pravesh (Advisor) (IIIT-Delhi, 2024-11-27)
    Public Transportation systems are the backbone of urban mobility, providing essential services to meet the increasing demand for affordable and efficient transportation. This report addresses the Transit Network Design ...
  • Platform to enable ESDM workflow management 
    Kumar, Piyush; Grover, Anuj (Advisor); Verma, Manish (Advisor) (IIIT-Delhi, 2024-11-25)
    This project introduces a platform to streamline workflow management in the Electronics System Design and Manufacturing (ESDM) sector. This is a B2B platform which connects Businesses in the ESDM sector with the most ...
  • Target-augmented shared fusion based multimodal sarcasm explanation generation 
    Goel, Palaash; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2024-11-28)
    Multimodal Sarcasm Explanation (MuSE) is a challenging natural language understanding task that deals with training machines to understand the semantic incongruence present in sarcastic social media posts comprising of an ...
  • Generative genomics 
    Verma, Shriya; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2024-11-27)
    Generative genomics refers to the field of study focused on developing computational models and algorithms capable of generating synthetic genomic data. This report explores the application of transformer-based architectures ...
  • Generative genomics 
    Kamra, Samanyu; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2024-11-27)
    Generative genomics generally refers to a study area that undertakes computational model devel opment and algorithms capable of developing synthetic genomic data. This report explores the application of transformer-based ...

Search Repository


Advanced Search

Browse

My Account