BTech Projects: Recent submissions

  • Parameterized algorithms to find cohesive subgraphs with small diameter 
    Sakhuja, Raghav; Majumdar, Diptapriyo (Advisor) (IIIT-Delhi, 2024-11-27)
    Given an undirected graph G = (V, E), an s-club is a vertex subset S ⊆ V (G) such that G[S] has diameter at most s. Formally, an s-Club problem asks if the input graph has an s-club with at least k vertices. There have ...
  • Belief consolidation in a partially observable multi-robot environment with limited data sharing capabilities 
    Yadav, Aditya; Kundu, Tanmoy (Advisor) (IIIT-Delhi, 2025-04-24)
    Effective multi-robot search and rescue hinges on rapid exploration, robust situational awareness, and judicious use of scarce bandwidth. This paper introduces a hybrid coordination architecture that combines centralised ...
  • Exploring the structure and sequence diversity in human kinome 
    Hingorani, Harsh; Arora, Idhant; Rawat, Harsh; Ray, Arjun (Advisor) (IIIT-Delhi, 2025-07)
    The report outlines the work which was done in the summer term, including two primary tasks, namely, creating a web site with data on human kinases and integrating data on various kinases databases. Web development work ...
  • Book companion: data visualization and web development 
    Dahiya, Aditya; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2024-11-27)
    This project involved developing an interactive online book companion for Prof. Bagler’s book and datasets. It began with the analysis of a recipe dataset containing over 1,18,000 samples and 65+ columns, where key trends ...
  • Constructing knowledge graphs from images 
    Garg, Chaitanya; Jain, Tanishq; Mutharaju, Raghava (Advisor) (IIIT-Delhi, 2024-12-10)
  • AI/ML models for predicting cardio-vascular diseaeses 
    Sharma, Naman; Gupta, Anubha (Advisor) (IIIT-Delhi, 2024-11-27)
    This project presents a comprehensive framework to address class imbalance in the PTB-XL electrocardiogram (ECG) dataset by integrating diffusion models with state-of-the-art deep learning architectures, including 1D-CNN-LSTM ...
  • CosyLab : named entity recognition on recipe dataset 
    Goswami, Sahil; Singh, Rishipal; Bagler, Ganesh (Advisor); Goel, Mansi (Advisor) (IIIT-Delhi, 2024-04-29)
    Traditional cooking recipes follow a structured format that can be effectively modelled by analysing and accurately representing the rules and semantics of different sections within the recipe text. In this paper, we propose ...
  • Cloudlabs: enabling hardware labs in remote environment 
    Thapliyal, Shaurya; Sandeep; Darak, Sumit Jagdish (Advisor); Joshi, Khagendra (Advisor) (IIIT-Delhi, 2024-11-29)
    This project endeavours to bridge the gap in hardware-based education by developing integrated hardware and software solutions for remote learning environments. Our primary objective is to enable hardware-based courses and ...
  • Topology optimization using machine learning 
    Prakash, Shantanu; Khatana, Aryan; Kudiyal, Aman; Madaan, Chirag; Shankhwar, Kalpana (Advisor) (IIIT-Delhi, 2024-11-27)
    This research presents an advanced methodology for structural design through the integration of topology optimization (TO) and machine learning (ML), addressing the limitations of traditional design processes in terms of ...
  • KG quality metrics 
    Gupta, Aanchal; Kumar, Yogender; Mukherjee, Manuj (Advisor); Mutharaju, Raghava (Advisor) (IIIT-Delhi, 2024-11-26)
    In the field of knowledge representation, the construction and maintenance of high quality knowledge graphs (KG’s) play a pivotal role in ensuring the accuracy and reliability of information. This research endeavors to ...
  • Coresets in NLP 
    Narang, Manas; Sushil, Abhishek; Srivastava, Ayush; Shit, Supratim (Advisor); Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2024-12-13)
    Coresets are small, weighted summaries of large datasets such that solutions found on this summary are provably competitive with those found on the entire dataset. This work studies the use of coresets in the field of ...
  • Android side channel attacks malware 
    Gupta, Arnav; Kalpasi, Sarthak; Chakravarty, Sambuddho (Advisor) (IIIT-Delhi, 2024-12-10)
    Smartphone accessibility has increased in the past decade, and with it, the proliferation of smart phone apps. These apps are used for a wide variety of purposes, some of which involve handling of sensitive user information. ...
  • VBOE: value based ontology engineering 
    Gulati, Shivesh; Aggarwal, Vibhor; Mutharaju, Raghava (Advisor) (IIIT-Delhi, 2024-11-27)
    Ethical Systems and Value-Based software products have been in talks for quite a few years, and much research and progress has been made in that direction. Recently, a lot of advancement has been made to ensure that the ...
  • Performance analysis and optimization of TCP over multi link operation of WiFi 7 
    Mohanty, Srimant; Maity, Mukulika (Advisor) (IIIT-Delhi, 2024-12-01)
    IEEE 802.11be introduces MLO (Multi-Link Operation) where MLDs (Multi-Link Devices) can take advantage of the multiple links available in the 2.4, 5 and 6 GHz bands without having to associate on each link separately. TCP ...
  • Concept-based program search for Abstraction and Reasoning Corpus (ARC) 
    Singhal, Kartik; Shroff, Gautam (Advisor) (IIIT-Delhi, 2024-11-27)
    The Abstraction and Reasoning Corpus (ARC) poses a significant challenge to artificial intel- ligence, demanding broad generalization and few-shot learning capabilities that remain elusive for current deep learning methods, ...
  • Designing belief space planning algorithms for coordinating robots with inconsistent beliefs 
    Singhal, Ayush; Kundu, Tanmoy (Advisor) (IIIT-Delhi, 2024-11-27)
    In multi-robot systems, maintaining joint action consistency is crucial, especially when individual robots have inconsistent beliefs about the world. This thesis explores two methods to address this challenge. The first ...
  • Audiobooks and emotion detection 
    Gupta, Aniket; Mohania, Mukesh (Advisor) (IIIT-Delhi, 2024-11-27)
    Recent advancements in text-to-speech (TTS) technology have made synthetic speech sound more natural and expressive. However, creating audiobook narration that accurately captures emotions and maintains context over multiple ...
  • FoodoScope - entrepreneurial venture in computational gastronomy 
    Gurusahai, Kumar; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2024-12-13)
    This report chronicles the development of Foodoscope, an initiative at the forefront of Computational Gastronomy that bridges academic research and market innovation. Computational Gastronomy leverages data-driven technologies ...
  • Wearables and AI for mental health 
    Singh, Abhijay; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2024-07-23)
    This report develops a system to detect stress using wearable devices that monitor Electrodermal Activity (EDA). Our review of related research covers topics like using AI in healthcare, clinical predictions, and emotion ...
  • Distributed communication system 
    Gaba, Divyansh; Dabas, Deepanshu; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2024-11-27)
    This project is dedicated to developing a robust chat application akin to WhatsApp, with a focus on leveraging RabbitMQ for efficient message queuing and Android development for creating an intuitive user interface. The ...

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