Year-2023

 

Recent Submissions

  • Gupta, Aniket; Grover, Anuj (Advisor); Sharma, Jyoti (Advisor) (IIIT-Delhi, 2023-11-29)
  • 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 ...
  • 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 ...
  • 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,but ...
  • 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, ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Singh, Harsh Vardhan; Sharma, Ojaswa (Advisor) (IIIT-Delhi, 2023-11-29)
    Empowering remote users to navigate expansive environments through a robot surrogate presents a significant challenge, especially when constrained by limited physical space. Our project aims to enable individuals within ...
  • Choudhary, Simran; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2023-11-29)
    This research explores the evolving landscape of Explainable Artificial Intelligence (XAI), with a specific focus on counterfactual explanations and their role in ensuring fairness and reducing bias in AI decision-making. ...
  • Kumar, Sarthak; Biswas, Sanat (Advisor) (IIIT-Delhi, 2023-12-09)
    The primary objective of this research project was to conduct a comprehensive analysis of stateof- the-art algorithms designed for the calculation of Collision Probability between satellites and other space objects, ...
  • Mehrotra, Sparsh; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2023-12)
    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. ...
  • Zutshi, Divij; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2023-11-29)
    In the evolving realm of robotics research and education, the amalgamation of Simulink, Gazebo, and ROS has birthed a dynamic multi-robot simulation environment. This project’s primary objective is to provide an immersive ...
  • 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 ...
  • Thakran, Yash; Abrol, Vinayak (Advisor) (IIIT-Delhi, 2023-12-08)
    Modeling directly raw waveforms through neural networks for speech processing is gaining more and more attention. Despite its varied success, a question that remains is: what kind of information are such neural networks ...
  • Fatima, Zubaida; Jamal, Yusuf; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2023-12-07)
    This research report investigates the robustness of Federated Learning (FL) by understanding and examining the performance of Federated Averaging (FedAvg) and Federated Proximal (Fed- Prox), along with the study of fading ...
  • Shariq, Mohammad; 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 propose implementing an NDHM-compliant personal ...
  • Kuria, Samuel Muchai; Biyani, Pravesh (Advisor) (IIIT-Delhi, 2023-11-29)
    This project developed a real-time stock market analysis tool designed to meet the needs of today's fast-paced financial environment. Utilizing Flask for its efficient and flexible architecture, and integrating with the ...
  • Kumar, Prateek; Shah, Rinku (Advisor); Darak, Sumit Jagdish (Advisor) (IIIT-Delhi, 2023-12-05)
    Data centers increasingly offload compute-intensive tasks to SmartNICs to optimize server resources for diverse applications. These SmartNICs, equipped with FPGA boards, are programmed to process data, substituting server ...
  • Nandi, Arpit; Malik, Dhruv; Sambuddho (advisor) (2023-11-29)
    Our aim is to develop a light weight learning based android malware detection solution, that can not only accurately distinguish malware from goodware but also classify / report its category, even when functioning under ...

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