BTech Projects: Recent submissions

  • Multi-modal stress detection 
    Jaiswal, Saurabh; Shukla, Jainendra (Advisor) (IIIT-Delhi, 2023-11-29)
    Feeling stressed occurs when our body and mind respond to challenging situations, and is a common aspect of life. However, if stress persists for a long time, it may negatively impact our well-being and can lead to various ...
  • Text simplification 
    Goel, Aniket; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-29)
    Understanding complex biomedical information often requires specialized expertise, creating barriers for non-experts seeking access to crucial knowledge. This research focuses on the development of a biomedical text ...
  • Individual mental health monitoring using edge AI 
    Omar, Krishnam; Girdhar, Samridh; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2023-11-29)
    This study aims to understand the feasibility of a stress detection model through a smartwatch, in the Indian adult population using the physiological data collected for lab and real-life settings. Wearable devices such ...
  • PHR-chat: a llama 2 based chatbot for improving mental health 
    Agarwal, Vibhor; Arora, Manik; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    This B.Tech project focuses on the development of an innovative mental health chatbot integrated into a Public Health Records app. The chatbot employs advanced natural language processing models for emotion classification ...
  • Enhanced state of health prediction of battery using machine learning and digital twin 
    Sharma, Raghav; Kumar, Shobhit; Shankhwar, Kalpana (Advisor) (IIIT-Delhi, 2023-11-29)
    In the digital age, use of batteries has increased manifold and thus, our dependence on them. It becomes critical that we are able to accurately predict the remaining charge and the state of health of the battery for safe ...
  • Functionally redundant genome clusters 
    Reddy, Vemula Thushar; Arvind; Ghosh, Tarini Shankar (Advisor) (IIIT-Delhi, 2023-11-29)
    This project aims to develop computational pipelines to cluster genomes based on the similarity in their functional signatures and to identify functionally redundant genome clusters. This initiative has built an extensive ...
  • Maternal and child healthcare 
    Azam, Mohammad Sufyan; Bajpai, Ishit; Singh, Siddhant; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2023-11-30)
    This project endeavors to establish a framework for knowledge-based digital intervention targeting improved health outcomes for mothers and children. Leveraging WhatsApp chats and Zoom audio transcripts, a web app is under ...
  • Computational gastronomy: novel recipe generation with constraint optimization 
    Sindhwani, Ishita; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-05-09)
    In response to the escalating demand for the generation of novel and diverse cooking recipes, this research in Natural Language Processing introduces a new tool—Ratatouille. The tool utilizes various Deep Learning models, ...
  • Gamification for learning 
    Gupta, Aishani; Sharma, Ojaswa (Advisor) (IIIT-Delhi, 2023-10-29)
    This project aims to develop a framework to automate the gamification process of educational content. The framework shall be based on stories from NCERT textbooks for creation purposes. There are three main steps in the ...
  • HoppaQ : self checkout shopping cart 
    Sarkar, Arka; Singla, Utsav; Jerripothula, Koteswar Rao (Advisor) (IIIT-Delhi, 2021-05)
    With the growing population in major cities the need of groceries is essential for everyone, this makes the supermarkets get flooded with consumers looking for a quick shop, but all comes to a halt when one realises a huge ...
  • Reinforcement learning in network survivability, routing, modulation and spectrum allocation in elastic optical networks 
    Buxy, Sudarshan; Mitra, Abhijit (Advisor) (IIIT-Delhi, 2021-12)
    The report provides an overview of the motivation behind using reinforcement learning in network survivability and routing, modulation and spectrum allocation. The reinforcement learning algorithms that were explored ...
  • Predictors of countries' positions on lethal autonomous weapons systems 
    Soni, Prabhat; Priyadarshi, Praveen (Advisor) (IIIT-Delhi, 2022-05)
    Finding what does (and doesn't) predict countries' positions on lethal autonomous weapons systems (LAWS) could be very valuable in informing the decisions of countries and NGOs. This report tests the predictive power of ...
  • A repository of wheels for embedded systems 
    Kushwah, Nikhil; Bhattacharya, Arani (Advisor) (IIIT-Delhi, 2022-12)
    A wheel file is a pre-compiled package that can be installed with pip, which is the package manager for Python. This can make installing and using certain modules on a Raspberry Pi much easier, eliminating the need to ...
  • Building ontology models and knowledge graphs for healthcare data 
    Garg, Yuvraj; Balooja, Mudit; Mutharaju, Vijaya Raghava (Advisor) (IIIT-Delhi, 2022-12)
    Medical information from various sources has to be integrated and compiled together to provide a better understanding of a patient’s health. Mappings between different standards and domain ontologies are constructed to ...
  • Introducing ‘nocoalias’ attribute to improve context-sensitive alias analysis in LLVM 
    Manas; Kedia, Piyus (Advisor) (IIIT-Delhi, 2022-12)
    The technique of alias analysis enables us to determine which memory locations can be accessed via different access paths. But finding objects satisfying aliasing sets is hard. We present a context-sensitive approach to ...
  • A SPARQL to cypher transpiler 
    Agrawal, Lakshya A; Singhal, Nikunj; Mutharaju, Vijaya Raghava (Advisor) (IIIT-Delhi, 2022-05)
  • Population / patient phenotype similarity based GCN for survival analysis 
    Kirtani, Chhavi; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2020-12)
    Survival Analysis is an important field of research and has its application in medical fields. Researchers have been experimenting with multiple methods to provide a better predicting model for survival analysis, yet ...
  • A study on the BKZ lattice reduction algorithm 
    Sharma, Pravek; Samajder, Subhabrata (Advisor) (IIIT-Delhi, 2020-12)
  • Graph sub isomorphism 
    Rajgaria, Abhishek; Rastogi, Preyansh; Goyal, Vikram (Advisor) (IIIT-Delhi, 2020-06)
    Subgraph isomorphism problem is one of the most frequently encountered and extensively studied in the big graph database model and in Graph Theory. Graph Sub isomorphism problem is approached with machine learning techniques ...
  • Mass problems 
    Dahal, Sameep; Basu, Sankha S. (Adviosr) (IIIT- Delhi, 2020-12)
    There are several known problems that are algorithmically unsolvable such as the Halting problem, Hilbert’s 10th problem for Diophantine equations and so on. We are interested in the degree of insolvability of the problems ...

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