Computer Science and Engineering: Recent submissions

  • 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 ...
  • 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 ...
  • Distributed stream processing at edge 
    Choudhary, Aditya; Chak, Ayush Raje; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-23)
    A vast amount of data is produced by billions of modern devices each year. An effective Stream Processing Engine (SPE) is needed to arrange and handle this data. Among the well-known SPEs are Apache Hadoop, Apache Spark, ...
  • KG quality metrics 
    Sharma, Pranav; Mutharaju, Vijaya Raghava (Advisor); Mukherjee, Manuj (Advisor) (IIIT-Delhi, 2023-11-27)
    In the burgeoning field of knowledge representation, the construction and maintenance of highquality knowledge graphs (KG’s) play a pivotal role in ensuring the accuracy and reliability of information. This research endeavors ...
  • DIKE: blockchain based e-voting 
    Aggarwal, Naman; Chakravarty, Sambuddho (Advisor); Samajder, Subhabrata (Advisor); Buduru, Arun Balaji (Advisor) (IIIT-Delhi, 2023-11-23)
    DIKE: is an online voting system which uses a private blockchain to securely cast and count the votes . The system addresses the issues in existing offline voting system revealing/compromising voter anonymity, partial vote ...
  • Fairness in machine learning 
    Budhija, Kuber; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-01)
    In a world where machine learning and AI play an increasing role in decision-making across various sectors, concerns about fairness have emerged. This report delves into the journey of understanding fairness in machine ...

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