Year-2024: Recent submissions

  • Fractals in graph signal 
    Vishwakarma, Asmit; Sehrawat, Priyanshu; Singh, Dev Pratap; Kumar, Vibhor (Advisor) (IIIT-Delhi, 2024-11-27)
    The focus of this project is to analyze and study the amalgamation of two very promising fields graph signal processing and fractality analysis, inspired by an extensive review of existing litera- ture on fractal dimensions, ...
  • 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 ...
  • ML security toolbox 
    Bansal, Dhawal; Garg, Dhawal; Goyal, Vikram (Advisor) (IIIT-Delhi, 2024-11-27)
    Critical applications are now incorporating more and more machine-learning (ML) models, this implies that the aforementioned security and privacy flaws must undergo tough screening to prevent attacks. The main objective ...
  • miRNA 3D structure prediction using AI/ML 
    Devesh; Sparsh; Ray, Arjun (Advisor) (IIIT-Delhi, 2024-11-27)
    This report outlines the methodology, execution, and results of predicting the three- dimensional (3D) structures of miRNA sequences using AI and machine learning tech- niques. Using the RNAfold tool to predict the secondary ...
  • CyberBlackhole - advanced deception framework 
    Patel, Anubhav; Chakravarty, Sambuddho (Advisor); Shah, Rinku (Advisor) (IIIT-Delhi, 2024-04-29)
    In recent times, cyber attackers have progressively become stealthier and persistent, and have come to be known as Advanced Persistent Threats (APTs). These attackers are usually state sponsored with a defined objective ...
  • Knowledge graph distillation 
    Narotam, N; Kaif, Mohammad; Akhtar, Md. Shad (Advisor); Mutharaju, Raghava (Advisor) (IIIT-Delhi, 2024-11-27)
    We combine domain-specific knowledge graphs with general knowledge graphs to enrich a language model. The objective of this semester was to implement baselines, test var- ious previous literature surveyed, and try to ...
  • Consistent vision: exploring multi-domain applications of consistency models 
    Bhagat, Amil; Jain, Milind; Subramanyam, A V (Advisor) (IIIT-Delhi, 2024-05)
    This project focuses on leveraging consistency models for downstream tasks involving the trans- lation and mapping between different modalities, such as converting visible images to their corresponding infrared representations. ...
  • Non - rigid motion transfer between non - isometric 3D bodies 
    Pandey, Daksh; Sharma, Ojaswa (Advisor) (IIIT-Delhi, 2024-11-27)
    This paper explores the problem of motion transfer between 3D non-isometric shapes. The re- search addresses the challenge of transferring motion between shapes that do not share identical geometric properties, which is ...
  • Ontology reasoning in EL++ 
    Chawla, Jessica Kaur; Mutharaju, Raghava (Advisor) (IIIT-Delhi, 2024-11-27)
    The project builds upon existing research that has investigated the reasoning capabilities of PLMs, primarily using RDFS rules. I aim to extend this work by incorporating the more expressive EL++ formalism, which potentially ...
  • QUIC TCP benchmarking 
    Kumar, Ankit; Goel, Vinayak; Maity, Mukulika (Advisor) (IIIT-Delhi, 2024-12-04)
    QUIC is google’s latest protocol built on the application layer over the UDP transport, and is utilised by major services provided by google all over the world. This has led to comparisons between QUIC and TCP, the protocol ...
  • Supporting the development of idea inspire for novel idea generation at the conceptual stage of designing 
    Sharma, Aman; Keshwani, Sonal (Advisor) (IIIT-Delhi, 2024-11-27)
    At the heart of product design lies the spark of creativity, where new ideas are born. Enter ”Idea Inspire,” a game-changing tool designed to help designers unleash their creativity. By tapping into both natural and ...
  • 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, ...
  • Optimizing local art sales in urban market~bamboo: artisan ecohaven furniture 
    Razafimiadana, Jacqueline Precilia; Chauhan, Aashish; Mukherjee, Payel C. (Advisor); Saronwala, Anupam (Advisor) (IIIT-Delhi, 2024-11-27)
    This “Artisan EcoHaven Furniture” seeks to fill this gap by developing strategies for enhancing the sale of local art in urban settings through the use of bamboo. It is locally available and culturally appropriate material. ...
  • Platform to enable ESDM workflow management 
    Vatsayan, Hitesh; Kurda, Shivam; Grover, Anuj (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 ...
  • Mitigating gender bias in speech-to-speech translation 
    Aggarwal, Aditya; Agarwal, Mehul; Gupta, Anubha (Advisor) (IIIT-Delhi, 2024-12-13)
    Despite advances in Machine Translation (MT), translating gender-marked languages remains chal- lenging. The challenge is further compounded by existing models that attempt to handle both co-reference resolution and ...
  • 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 ...
  • Edubot chatbot 
    Moitra, Arjun; Hooda, Vijay; Shankhwar, Kalpana (Advisor) (IIIT-Delhi, 2024-11-27)
    This B.Tech project addresses the challenges of traditional education systems, focusing on scalability, personalized learning, and administrative efficiency. Recognizing the limitations of conventional schooling in meeting ...
  • Large language models for program verification 
    Bharti, Varun; Jalote, Pankaj (Advisor); Kumar, Dhruv (Advisor); Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2024-11-27)
    Program verification is a crucial process in software engineering, ensuring that programs func- tion correctly according to their specifications. Traditional methods of program verification, such as model checking and ...
  • Food label 
    Chauhan, Aviral; Rana, Siddhant; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2024-11-27)
    The project aims to create an innovative food product search and prediction system that enables users to explore a comprehensive database of 900,000 food items. Each product is enriched with metadata, including its name, ...
  • Question answering for policy documents 
    Bohra, Ankur; Singh, Himanshu; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2024-11-28)
    Privacy policies are legally enforceable documents notifying consumers of how a company intends to interact with the consumer’s data, but modern policy documents prove to be too long and complex for the average user to ...

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