BTech Projects: Recent submissions

  • Online gaming and masculinity among young adults 
    Garg, Aditya; Kumar, Jatin; Singh, Smriti (Advisor) (IIIT-Delhi, 2024-04-29)
    Online gaming has transcended its status as a recreational activity to become a pervasive cultural force in recent decades, attracting the attention of scholars who have meticulously examined its qualitative and quantitative ...
  • IMC hardware accelerator evaluation framework 
    Marwah, Sahas; Dubey, Suyash Kumar; Grover, Anuj (Advisor) (IIIT-Delhi, 2023-12)
    Neural networks have emerged as a powerful tool in machine learning and deep learning, showcasing remarkable capabilities in image recognition, natural language processing, and autonomous decision-making tasks. However, ...
  • Implementation of cache-coherent NoC for multi-core systems 
    Pai, Ullas Ravindra; Deb, Sujay (Advisor) (IIIT-Delhi, 2023-12-05)
    In a multi-core system, each core has its own local cache, which stores copies of data from the main memory. In a single program, different threads might run on separate cores to perform parallel tasks. These threads could ...
  • Online federated learning through control engineering perspective 
    Karwasara, Lakshya; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2024-04-29)
    This BTP explores the integration of Online Federated Learning (OFL) with Distributed Online Linear Regression (DOLR) in the context of the FedOMD algorithm, addressing the challenges of regret minimization and accurate ...
  • Analysis of stock market data 
    Kuria, Samuel Muchai; Biyani, Pravesh (Advisor) (IIIT-Delhi, 2024-04-29)
    This project developed a real-time stock and mutual funds market and mutual fund analysis tool designed to meet the needs of today's fast-paced financial environment. Utilizing Flask for its efficient and flexible architecture, ...
  • Collision probability of space objects 
    Kumar, Sarthak; Biswas, Sanat K (Advisor) (IIIT-Delhi, 2024-04-29)
    The primary objective of this research project was to conduct a comprehensive analysis of state- of-the-art algorithms designed for the calculation of Collision Probability between satellites and other space objects, ...
  • Identification and analysis of fake or real news using machine learning model 
    Saurav; Gaurav; Haripriya, Soibam (Advisor) (IIIT-Delhi, 2024-04)
    In recent year, spreading of fake news has been one of the most highlighted things society is dealing with. We have seen in past that fake news leads to serious riots and created a fearful en- vironment for general people. ...
  • Design & optimizing distributed learning gradients using control theory 
    Mehrotra, Sparsh; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2024-05)
    We use different optimizers in everyday Machine Learning and Deep Learning applications. The task for any machine learning algorithm is to 𝑚𝑖𝑛 𝑓 (𝑥), where 𝑓 is the objective function and 𝑥 is the input parameter. ...
  • Computational gastronomy API 
    Dhanwadia, Vikrant; Bagler, Ganesh (Advisor); Goel, Mansi (Advisor) (IIIT-Delhi, 2024-04-29)
    This semester had the main objective of thoroughly rectifying Recipe DB 2 and its backend with special attention towards issues in the back-end architecture of the API dashboard. The abnormal functioning of Elastic search ...
  • Implementation of an accelerator for edge computing devices 
    Gupta, Garvit; Deb, Sujay (Advisor) (IIITD, 2021-05-10)
    Edge computing is a distributed computing paradigm that brings computation and data storage closer to the location where it is needed to improve response times and save bandwidth. Two important aspects of edge computing ...
  • Subspace learning for person Re-identification 
    Roy, Neelabhro; Subramanyam, A V (Advisor) (IIIT-Delhi, 2019-11)
    Person Re-Identi cation (PRID) has been one of the most prominent problems in intelligent video surveillance in the recent past. PRID is the task of retrieving all the instances of a person given a single shot or a sequence ...
  • Efficient surveillanve video compression using dictionary/transform learning 
    Nayeem, Mohammad; Subramanyam, A V (Advisor) (IIIT-Delhi, 2017-11-18)
    Techniques used for sparsifying the signal in dictionary or transform domain are quite popular in signal processing. In this work, we propose a method for e cient compression of surveillance videos. We observe that in these ...
  • Design thinking for social innovation: the tale of humankind 
    Gupta, Aniket; Grover, Anuj (Advisor); Sharma, Jyoti (Advisor) (IIIT-Delhi, 2023-11-29)
  • Demonstration of federated averaging using zigbee and SDR 
    Singh, Monika; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2023-11-29)
    Wireless devices, including mobile phones, laptops, autonomous driving, UAT, etc., generate an enormous amount of local data, which could be employed to train machine learning models for decision-making and improve prediction ...
  • TA allocation system 
    Sony, Atyant; Palia, Arnav Kumar; Bansal, Mohit; Gupta, Nikhil; Darak, Sumit Jagdish (Advisor) (IIIT-Delhi, 2023-11-29)
    This report addresses significant challenges in our academic institution's manual Teaching Assistant (TA) allocation process. The current system relies on time-consuming Excel sheets and email-based communication, leading ...
  • Northeast states content(youtube) analysis and identification of misinformation spread through online social networks 
    Upadhyay, Saurav; Haripriya, Soibam (Advisor) (IIIT-Delhi, 2023-11-28)
    In recent year, due to the advancement in online social networks, possibility of spreading misinformation increases. Online Social Networks earlier seem to be safer path for sharing information and strengthen the community, ...
  • Design and evaluating performance of hardware accelerators for implementation of neural networks 
    Marwah, Sahas; Dubey, Suyash Kumar; Grover, Anuj (Advisor) (2023-12)
    Neural networks have emerged as a powerful tool in machine learning and deep learning, showcasing remarkable capabilities in image recognition, natural language processing, and autonomous decision-making tasks. However, ...
  • Acoustic cues for multilingual abuse detection 
    Thakran, Yash; Abrol, Vinayak (Advisor) (IIIT-Delhi, 2023-05-09)
    Abusive content detection in the spoken text can be addressed by performing Automatic Speech Recognition (ASR) and leveraging advancements in natural language processing. However, ASR models introduce latency and often ...
  • Approximate computing as a means of fault tolerance in mWNoCs 
    Joshua, Massa; Deb, Sujay (Advisor) (IIIT-Delhi, 2023-10-29)
    In the realm of chiplet-based computing, the advent of Network-on-Chip (NoC) technology has brought forth remarkable opportunities to harness the potential of on-chip wireless communication. This report embarks on a ...
  • Image generation using AI 
    Srivastava, Aryman; Dheeraj; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-04-29)
    Deep learning involves training machines to understand patterns, classify objects, and predict outcomes. This has led to the emergence of various fields, including computer vision, natural language processing, speech ...

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