Year-2024: Recent submissions

  • Road accident detection 
    Sanjana; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2024-11-28)
    Road accidents pose a significant public safety concern in India, leading to substantial loss of life and numerous injuries each year. This project delves into existing literature and global practices to assess accident ...
  • Cost bias mitigation of audio deepfake detection 
    Kandpal, Sarthak; Gupta, Anubha (Advisor) (IIIT-Delhi, 2024-12-08)
    With the rapid development and advance in the field of Speech Synthesis technology, differentiation of genuine and fake audios has become increasingly challenging. This semester the project focuses on benchmarking the voice ...
  • BOT-TA 
    Balachandran, Aarav; Anishka; Mehta, Atharva; Gupta, Nipun; Jalote, Pankaj (Advisor); Kumar, Dhruv (Advisor) (IIIT-Delhi, 2024-04-29)
    The integration of artificial intelligence (AI) in education has been a topic of interest for researchers and educators alike. This paper presents the results of a study that focuses on the use of ChatGPT, an AI-based ...
  • Identification and patch generation of security vulnerabilities in web applications using LLMs and static analysis tools 
    Kaushik, Manit; Gupta, Pranav; Jalote, Pankaj (Advisor); Kumar, Dhruv (Advisor) (IIIT-Delhi, 2024-11-27)
    Web application vulnerabilities, such as Cross-Site Scripting (XSS) and Code Injections, pose significant security risks, often leading to data breaches and privacy issues. Traditional Static Application Security Testing ...
  • B.Tech project: barkedo-building a brand in the pet-care industry 
    Mittal, Manasva; Goel, Devanshi; Grover, Anuj (Advisor) (IIIT-Delhi, 2024-11-27)
    This report details Barkedo’s progress in its mission to revolutionize the pet care industry through strategic initiatives in event management and product development. During this quar- ter, the focus has been refined to ...
  • Numin: developing a near real-time machine-learning competition/tournament based on Indian financial markets. 
    Gera, Ashutosh; Shroff, Gautam (Advisor) (IIIT-Delhi, 2024-11-22)
    The project is an integrated trading system and tournament platform designed to leverage advanced algorithmic trading strategies using the Numin API. The system encompasses a com- prehensive suite of tools for data ...
  • ROBIFY 
    Jain, Aryan; Grover, Anuj (Advisor) (IIIT-Delhi, 2024-11-27)
    Robify is an innovative educational and e-commerce platform designed to bridge the gap be- tween theoretical STEM knowledge and practical application through hands-on robotics and IoT learning solutions. Founded in 2023, ...
  • Molecular generation and property prediction using LLMs with chemical feedback and alignment 
    Srivastava, Anushka; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2024-11-27)
    We aim to leverage the use of LLMs in drug discovery to generate new molecules given the description of their properties. Zinc-250K dataset is used to build the dataset and various LLMs and SOTA Models are selected for ...
  • 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 ...

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