Year-2024: Recent submissions

  • Trajectory prediction and forecasting of moving objects on roads 
    Kabra, Shreyas; Shrey; Anand, Saket (Advisor); Kaul, Sanjit Krishnan (Advisor) (IIIT-Delhi, 2024-11-27)
    This work presents the building of the pipeline for the autonomous vehicle (AV). Our task was to combine perception models and tracking algorithms to get real-time detection and tracking of objects in diverse road environments. ...
  • Safe reinforcement learning 
    Singh, Divyajeet; Kaul, Sanjit K (Advisor) (IIIT-Delhi, 2024-11-28)
    Reinforcement Learning (RL) has gained significant traction as a powerful paradigm for solving sequential decision-making problems. This includes exceptional progress in autonomous vehicles [11, 17], algorithmic trading ...
  • Multiclass android malware detection 
    Gautam, Ankit; Chakravarty, Sambuddho (Advisor); Buduru, Arun Balaji (Advisor) (IIIT-Delhi, 2024-11-27)
    Abstract Android malware poses a significant threat to mobile device security, necessitating robust and efficient detection systems. This project focuses on developing a multiclass classification frame- work for detecting ...
  • Towards robocall and scam call detection 
    Anand, Abhijeet; Buduru, Arun Balaji (Advisor) (IIIT-Delhi, 2024-11-29)
    Abstract The rapid increase of robocalls and scam calls has become a significant threat to individuals and organizations worldwide, causing financial losses, emotional distress, and breaches of pri- vacy. These malicious ...
  • Deep learning based named entity recognition 
    Oberoi, Rahul; Lakra, Saumil; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2024-12-10)
    This project focuses on developing a robust Named Entity Recognition (NER) system tailored for recipe ingredient phrases, a critical task in computational gastronomy. The proposed ap- proach employs transformer-based models ...
  • Development of an immersive and intuitive user interface of a CAD modelling tool using virtual reality 
    Raj, Harshit; Swarnim; Shankhwar, Kalpana (Advisor) (IIIT-Delhi, 2024-11-27)
    We have done work on making a software in unity 3D which can be used in industry for 3D visualization of shapes. We are going to briefly discuss what we have done by having an introduction, literature review, methodology ...
  • VertexVQA4k: enhancing large language model proficiency: advanced datasets for solving complex geometric problems 
    Popat, Harsh Parimal; Mital, Harshil; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2024-11-27)
    Over the course of the semester we worked on VertexVQA4k, a comprehensive multimodal dataset designed for secondary-level geometry education, drawing from Indian curricula. The dataset, containing approximately 4,000 ...
  • Artificial intelligence in predicting diseases from food consumption 
    Pal, Harsh Kumar; Shah, Samar Vinod; Shankhwar, Kalpana (Advisor) (IIIT-Delhi, 2024-11-27)
    The increasing prevalence of dietary-related health issues has necessitated the development of tools to analyze food consumption and its impact on health. This project explores the potential of artificial intelligence (AI) ...
  • Assessing large language models for data standardization in healthcare data interoperability 
    Bindlish, Aditya; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2024-11-25)
    A large amount of public data is being generated, but the lack of standard formats and field names makes it hard to combine and use data efficiently. This lack of standardization limits the ability to analyze and apply ...
  • Grief unveiled: insights into the emotional terrain of college life 
    Mittal, Shefali; Prince, Deepak (Advisor) (IIIT-Delhi, 2024-04-29)
    This project investigates the intersection of grief, academic performance, and coping mechanisms among college students. Through thorough research of scholarly papers and influential books, it reveals the complexity of ...
  • Test case design generation from SRS using LLMs 
    Bhatia, Shreya; Gandhi, Tarushi; Jalote, Pankaj (Advisor) (IIIT-Delhi, 2024-04-29)
    System testing is a crucial phase in software development, ensuring that the final product meets specified requirements and functions correctly. However, creating comprehensive test cases for system testing can be challenging ...
  • Graph structure learning based DL model for ECG anomaly prediction 
    Oberoi, Rupin; Gupta, Anubha (Advisor) (IIIT-Delhi, 2024-04-29)
    Electrocardiography (ECG) is widely used in cardiography as a non-invasive diagnostic tool for providing a graphical representation of the electrical activity in the heart over a duration of time. It captures the electrical ...
  • Understanding COVID-19 genomic sequences through the lens of strainformer, a transformer model 
    Chilkoti, Mansi; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2024-04-26)
    This project aims to unravel the complex genomic dynamics of COVID-19, which are critical for understanding its virulence and developing targeted therapeutic interventions. Our approachfocuses on meticulously analyzing the ...
  • Enhancing counter speech models: exploring intent and implication factors 
    Saini, Manav; Akhtar, Md Shad (Advisor) (IIIT-Delhi, 2024-04-30)
    This project report investigates the underlying factors contributing to hate speech through an in-depth literature analysis of psychological studies. It identifies intent and implication as critical aspects shaping hate ...
  • Autonomous indoor mobility with augmented physical testbed 
    Vhavle, Vishwesh; Sharma, Jatin; Kaul, Sanjit K. (Advisor); Anand, Saket (Advisor) (IIIT-Delhi, 2024-05-13)
    In this project, we introduce a physical testbed that enables the integration of virtual scenarios, which allows us to develop and evaluate algorithms for localization, perception, and pathplanning in a safe and efficient ...
  • Knowledge-augmented emotion detection in code-mixed mental health counseling conversations 
    Tiwari, Anusha; Kushagra; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2024-04-26)
    This B.Tech project endeavors to advance mental health counseling through technology by introducing the IndieMH dataset, a curated collection of code-mixed Hindi-English counseling dialogues annotated with emotion labels ...
  • Delhi v/s Beijing: pollution comparison 
    Narayan, Anupam; Pandey, Ashish Kumar (Advisor) (IIIT-Delhi, 2024-05-12)
    This Report investigates the complex dynamics of air pollution in two megacities, Delhi and Beijing, and presents a comparative analysis of their pollution mitigation strategies and outcomes. After acquiring and preprocessing ...
  • Extended reality sand table: a novel approach to world building in war games 
    Tiwari, Ambuj Bhaskar; Sharma, Deep; Tripathi, Devansh; Srivastava, Anmol (Advisor) (IIIT-Delhi, 2024-04-29)
    This paper presents an innovative approach aimed at seamlessly integrating physical and digital environments via World Building techniques employing a sand table, specifically designed for wargaming applications. By ...
  • Voiceshield: innovative defence system against audio spoof attacks 
    Venaik, Utkarsh; Ahuja, Aditya; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2024-04-25)
    With the rise in the potential of artificial intelligence, there now is an increased risk of im-personation and deep fakes; one possibility of impersonation lies within audio, which we call“spoofing attacks”, wherein voices ...
  • Effective conversations via large language models 
    Rana, Abhit; Grover, Anuj (Advisor) (IIIT-Delhi, 2024-04-29)
    Interpersonal skills, or social skills, encompass individuals’ behaviors and abilities to engage and communicate successfully with others. These contain effective communication, attentive listening, understanding others, ...

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