BTech Projects: Recent submissions

  • DNA-Aligner 
    Lakshya; Sengupta, Debarka (Advisor) (IIIT-Delhi, 2024-11-27)
    The DNA-ALIGNER is a novel model designed to align mRNA and gene sequences. In cellular biology, DNA is transcribed into mRNA, which serves as the template for protein synthesis. DNA-ALIGNER addresses the challenge of ...
  • Navigating fashion trends in the digital age 
    Raj, Rohit; Arya, Tarun Kumar; Satyam; Haripriya, Soibam (Advisor) (IIIT-Delhi, 2024-11-27)
    Fashion is an integral part of human life. It extends beyond clothing and accessories, serves as a medium for self-expression, and reflects an individual's personality and cultural identity. In this study, we examine the ...
  • Finding optimized path for harvesting and other applicable scenarios 
    Singh, Digvijay; Jain, Adish; Shankhwar, Kalpana (Advisor) (IIIT-Delhi, 2024-11-27)
    In modern agriculture, the imperative of efficiency and productivity underscores the need for optimized navigation and monitoring practices to meet the demands of a burgeoning global population. Effective traversal and ...
  • RecipeGPT implementation 
    Gupta, Anmol; Gupta, Bhavya; Bagler, Bagler, Ganesh (Advisor) (IIIT-Delhi, 2024-12-08)
    The culinary domain offers significant opportunities for leveraging AI to simplify and enhance recipe-related interactions. This project focuses on developing an intelligent recipe chatbot that performs two primary tasks: ...
  • Learning from dependent data 
    Sethi, Alhad; Mukherjee, Manuj (Advisor) (IIIT-Delhi, 2024-11-27)
    In this work, we give generalization bounds of statistical learning algorithms trained on samples drawn from a dependent data source both in expectation and with high probability, using the Online-to-Batch conversion ...
  • Cuisine fusion 
    Gupta, Arsh; Makkar, Kshitij; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-29)
    With growing diversity in personal food preference and regional cuisine style, personalized information systems that can transform a recipe into any selected regional cuisine style that a user might prefer would help food ...
  • Relaxed concurrent counting bloom filters 
    Mishra, Dhruv; Bajaj, Kshitij; Chatterjee, Bapi (Advisor) (IIIT-Delhi, 2023-11-29)
    Counting Bloom filters are highly space-efficient with a small probability of false positives. Concurrent access to a Counting bloom filter can greatly increase its insertion and query throughput.
  • Personal health record app reward system 
    Singh, Yash Vardhan; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    The goal of this project is to include a strong incentive system into the Personal Health Record (PHR) Android application in order to improve user engagement and participation. The principal aim is to incentivize users ...
  • Understanding ASR using speechbrain 
    Arora, Satyam; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-28)
    Automatic Speech Recognition has been a prominent sector in Computer Science Research for decades, generating thousands of research papers in recent years. It is a complex and evolving field, having intersections with ML, ...
  • Personal health records application 
    Verma, Shobhit; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    Personal Health Records application is an application made for people to maintain their personal health records. Users can add their medical documents, add their ABHA ID, see timeline, search for diets, etc. Users can also ...
  • Minimum eccentricity shortest paths in undirected graphs 
    Tomer, Ashwin; Majumdar, Diptapriyo (Advisor) (IIIT-Delhi, 2023-11-29)
    This paper presents significant contributions to the study of the Minimum Eccentricity Shortest Path (MESP) problem in graph theory, with a focus on polynomial kernelization, structural parameters, and special graph classes. ...
  • Vitals embedding for intensive care units 
    Sethi, Himanshi; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    Intensive Care Units (ICUs) collect vast amounts of data, including patient vitals, often recorded as time series data. This data can be analysed to extract meaningful data, aiding in timely intervention and improving ...
  • Coresets for federated learning 
    kaur, Gurmehak; Chatterjee, Bapi (Advisor); Supratim (Advisor) (IIIT-Delhi, 2023-11-27)
    This BTech project aims to explore the use of two pivotal concepts in machinelearning: coresets and federated learning. Leveraging insights from the AIsummer school hosted by the esteemed advisors in these domains, this ...
  • Computational gastronomy: turing test for chef framework 
    Nayak, Shivanshu; Raj, Rahul; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-28)
    The project aims to develop the Chef Turing Test to assess a machine's capacity to emulate a human chef's culinary skills and knowledge. This test encompasses various criteria, including recipe creation, ingredient knowledge, ...
  • Tindering fair datasets for evidence synthesis from heterogeneous datasets: a case study on covid-19(IFHP devlopment) 
    Poswal, Pritish; Singh, Tanishqa Shital; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    This B.Tech project focuses on the development of the IFHP portal ie Integrated Federated Health Portal which is a portal of Tavlab currenty hosted at https:// federatedhealthplatform.tavlab.iiitd.edu.in/ . Our main task ...
  • Lipid force distribution analysis 
    Pandey, Shivanshu; Ray, Arjun (Advisor) (IIIT-Delhi, 2023-11-29)
    Lipid Force Distributional Analysis: Unraveling Membrane Dynamics Cellular membranes, integral to diverse biological processes, consist of a complex interplay of lipids governing crucial molecular interactions. This study ...
  • Selection of edge devices to optimize tail-end latency 
    Pal, Utkarsh; Kumar, Aman; Bhattacharya, Arani (Advisor) (IIIT-Delhi, 2023-05-10)
    Edge computing has emerged as a promising paradigm for meeting the requirements of resourceintensive applications by processing data at the network edge. The aim of our project is to optimise the end to end tail latency ...
  • Deep learning for multimedia application 
    Ahuja, Aditya; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-29)
    Recent advancements in speech applications prominently feature Deep Learning, driving significant progress in the challenging task of separating speech signals from multi-speaker speech mixtures. Speech Separation models ...
  • Course recommender and planner system 
    Kaur, Hunar; Bhan, Sadhvi; Kumar, Dhruv (Advisor) (IIIT-Delhi, 2023-11-29)
    The contemporary college landscape is characterized by an abundance of academic courses and diverse learning paths, posing a challenge for students to navigate and optimize their academic journey efficiently. Young adults ...
  • Patient health record app - community chat 
    Singh, Vanisha; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    The government of India launched the National Digital Health Mission (NDHM) initiative to make healthcare more accessible by digitizing patient data and unifying processes. We, the PHR team at TavLabs, propose implementing ...

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