DSpace at IIIT-Delhi: Recent submissions

  • Enveave: advancements in a multi-stakeholder environmental platform 
    Teng, Aryan; Vashishta, Avi; Jalote, Pankaj (Advisor) (IIIT-Delhi, 2023-11-29)
    In the latest phase of the Enveave project, our team focused on advancing the platform’s capabilities and user experience. This semester’s work included significant enhancements, such as introducing a new stakeholder type, ...
  • FlexDisplay: a flexible display framework for conserving power consumption 
    Goyal, Sahil; Goel, Anshak; Mondal, Deeptorshi; Bhattacharya, Arani (Advisor); Maity, Mukulika (Advisor) (IIIT-Delhi, 2023-11-28)
    Despite significant improvements, smartphones are still constrained by the limited capacity of their batteries. Modern smartphones tend to use organic light-emitting diode (OLED) displays, whose energy consumption depends ...
  • Custom interface development for QGC/mission planner 
    Raina, Anjanay; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2023-11-29)
    The central focus of this project revolves around the comprehensive development and customization of a user-centric interface for optimizing the functionalities of QGroundControl (QGC) and Mission Planner (MP) in the field ...
  • Anomaly detection and classification from CCTV camera feed 
    Aakash; Chauhan, Lakshay; Sharma, Shubham; Deb, Sujay (Advisor) (IIIT-Delhi, 2023-11-29)
    Recently, there has been an increase in the frequency of crimes and accidents, posing a growing challenge for humans to report these incidents to the relevant authorities promptly. It is nearly impossible for humans to ...
  • Implementation of neuromorphic computing framework using tunneling-based devices 
    Gupta, Abhinav; Saurabh, Sneh (Advisor) (IIIT-Delhi, 2024-04)
    In recent years, Machine Learning (ML) and Artificial Intelligence (AI) have become one of the hot topics for research and have found their use in various applications across different sectors like healthcare, automotive, ...
  • Data constrained deep learning 
    Keshari, Rohit; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (IIIT-Delhi, 2024-03)
    Deep Neural Networks (DNNs) have achieved remarkable success across various machine learning and computer vision tasks, especially when abundant training samples are available. In Convolutional Neural Network (CNN) research, ...
  • Constant-time snapshots with applications to concurrent data structures 
    Singh, Aayush; Chhillar, Yash; Chatterjee, Bapi (Advisor) (IIIT-Delhi, 2023-05-09)
    This research explores the concurrent implementation of range search operations on quadtrees using Versioning of the data structure. The proposed approach utilizes time-stamped versioned lists to maintain the state of each ...
  • Image and video segmentation based rural road quality inspection 
    Gupta, Tanish; Anand, Saket (Advisor) (IIIT-Delhi, 2023-11-29)
  • Climate change in India: regional variances, trends, and implications with a focus on Delhi 
    Prusty, Ayush; Bohara, Vivek Ashok (Advisor) (IIIT-Delhi, 2023-11-29)
    This study conducts a comprehensive analysis of India’s climatic trends, emphasizing Delhi’s climate specifics by analyzing extensive datasets encompassing diverse Indian landscapes. It reveals temporal and spatial variations ...
  • Deployment and active learning of species categorization module 
    Pahuja, Jayan; Anand, Saket (Advisor) (IIIT-Delhi, 2023-11-29)
    This project focused on the deployment of a deep learning model for species categorization and retraining on the cloud using the YOLOv5x architecture. The goal was to create a web application that allows users to upload ...
  • Novel recipe generation : cuisine constraint 
    Thakkar, Dev; Arvind K, Hiren; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-29)
    In this project, we ventured into computational gastronomy to craft AI-generated recipes that embody diverse regional cooking styles. Our methodology initially centered on a novel tokenization approach, using the GPT-2-based ...
  • Autonomous delivery system for hospitals and hotels 
    Akshat; Agrawal, Yash; Bohara, Vivek Ashok (Advisor) (IIIT-Delhi, 2023-05-09)
    • Implementation of a prototype of a delivery robot using ROS (Robot Operating System) framework that autonomously maps unknown territories and can navigate to a provided destination. • Algorithms like Hector SLAM and ...
  • Machine learning for intensive care units 
    Sehgal, Rahul; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    Intensive Care Units (ICUs) generate extensive time series data, particularly patient vitals, holding immense potential for meaningful insights crucial for timely interventions and enhanced patient outcomes. Conventional ...
  • LLMs in healthcare 
    Mishra, Prateek; Raina, Aryaman; Goyal, Harshit; Kumar, Dhruv (Advisor) (IIIT-Delhi, 2023-11-29)
    This paper explores the integration of Large Language Models (LLMs), in the healthcare domain, focusing on improving accessibility, medication management, and public health awareness. The research investigates the ...
  • Risk calculator for heart attack patients 
    Mohit; Gupta, Anubha (Advisor) (IIIT-Delhi, 2023-11-28)
    This study aims to enhance the accuracy of predicting the 30-day mortality rate among patients following their first heart attack by leveraging machine learning and deep learning techniques. The current cardiac risk ...
  • Robustness of foundational models for hate speech detection: analyzing pretraining dynamics and finetuning settings 
    Khan, Mohammad Aflah; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-29)
    Despite the widespread adoption, there is a lack of research into how various critical aspects of LLMs affect their performance in hate speech detection. Through five research questions, our findings and recommendations ...
  • A comparative analysis of large language models for code documentation generation 
    Dvivedi, Shubhang Shekhar; Pujari, Sai Leela Rahul; Vijay, Vyshnav; Lodh, Shoumik; Kumar, Dhruv (Advisor) (IIIT-Delhi, 2023-11-29)
    This paper presents a comprehensive comparative analysis of Large Language Models (LLMs) for code documentation generation. Code documentation is an essential part of the software writing process as it allows a new user ...
  • Application supported ERP therapy for OCD patients 
    Sharma, Mohit; Jaiswal, Vaibhav; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2023-11-29)
    This research project focuses on addressing the challenges associated with the treatment of Obsessive–Compulsive Disorder (OCD) through the development of a bilingual smartphone application. The prevalence of OCD is ...
  • Honeypots in containerised environments 
    Arora, Mehul; Chakravarty, Sambuddho (Advisor) (IIIT-Delhi, 2023-11-29)
    Containers have gained popularity for their efficiency, allowing developers to package and deploy applications seamlessly, thus replacing VMs in the modern-day deployment scenario and becoming a strong base for cloud ...
  • Countercraft: counter-speech retrieval with template-based ingenuity 
    Saini, Manav; Akhtar, Md. Shad (Advisor) (2023-11-29)
    To address the issue of hate speech, the study proposes a novel method to retrieve counter speeches using templates. The templates are created by analyzing instances of hate speech in the CONAN dataset, which contains ...

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