BTech Projects: Recent submissions

  • Hardware chacha 
    Ranjan, Aman; Grover, Anuj (Advisor) (IIIT-Delhi, 2023-11-29)
    "Hardware Chacha" is an innovative e-commerce platform in India, where users can buy paints, pipes, plumbing, tanks, and electronics online. Designed for both individuals and contractors, our platform simplifies hardware ...
  • Model explainability - in Context of Argument Mining 
    Yadav, Anunay; Chakraborty, Tanmoy (Advisor); Akhtar, Md. Shad (Advisor); Bagler, Ganesh (Advisor) (IIIT-Delhi, 2021-12)
    Argument mining is a rising research area in natural language processing, the goal of which is to extract argumentative structures from natural language texts. Such components contain a lot of information not only limited ...
  • Improving speech to speech conversion with incorporation of speaker tonality 
    Goel, Arnav; Hira, Medha; Gupta, Anubha (Advisor) (IIIT-Delhi, 2023-11-29)
    We benchmark various Speech-to-Text (STT) and Text-to-Speech (TTS) models and performed an extensive literature review on downstream tasks such as Automatic Speech Recognition (ASR), Speech Emotion Recognition, Speaker ...
  • Blockchain for food: farm to fork 
    Narang, Ojas; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-30)
    India's food industry faces critical challenges with its centralized supply chains, including single point failures, quality issues, and data integrity. There's a high rate of food fraud, contamination, and adulteration, ...
  • Androknight: lightweight android malware detection for low-resource mobile devices 
    Nandi, Arpit; Malik, Dhruv; Sambuddho (advisor) (IIIT-Delhi, 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 ...
  • Ring fencing 
    Nangia, Aditya; Bhupal, Saksham; Mohania, Mukesh (Advisor) (IIIT-Delhi, 2023-10-29)
    In an era marked by unprecedented data growth and pervasive digital influence, ensuring model privacy is imperative as machine learning models gain prominence in diverse domains like healthcare, finance, and business. ...
  • Robust OCR for information extraction from retail flyers 
    Singh, Shashank Shekhar; Singh, Abhijeet; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2023-11-29)
    This report explores the augmentation of the RanLayNet research paper by addressing limitations in existing datasets for domain adaptation. Through a comprehensive analysis of Ran- LayNet, PubLayNet, and DocLayNet papers, ...
  • Motion forecasting 
    Prachi; Anand, Saket (Advisor) (IIIT-Delhi, 2023-12-12)
    The prediction of multi-agent behavior is crucial for the development of advanced human-robot interactive systems, particularly in domains like self-driving cars. Existing trajectory forecasting methods often lack the ...
  • Development of a forecasting tool utilizing ML techniques 
    Yadav, Arun; Ray, Arjun (Advisor) (IIIT-Delhi, 2023-11-29)
    This report presents a comprehensive analysis of revenue forecasting methods employed in the context of the hotel industry or business. The primary objective is to assess the effectiveness of various machine learning models ...
  • A deadline-aware scheduler for smart factory using wifi 6 
    Mishra, Anis; Bhattacharya, Arani (Advisor); Maity, Mukulika (Advisor); Das, Syamantak (Advisor) (IIIT-Delhi, 2023-12-09)
    We discuss the optimization of wireless network scheduling in smart factories, specifically focusing on data packets with varying deadlines and importance levels. The proposed solution involves utilizing IEEE 802.11ax (WiFi ...
  • Learning speaker, emotion, age, and gender information through disentanglement of speech pre-trained representations 
    Koshal, Devyani; Buduru, Arun Balaji (Advisor) (IIIT-Delhi, 2023-11-29)
    Forensic speech science, rooted in acoustics, plays a key role in legal investigations. Among its diverse applications, automatic speaker recognition (ASR) stands as a primary task within forensic speech analysis followed ...
  • Multi-tenant cache design for smart NICs 
    Kaif, Mohammed; Mittal, Shivansh; Shah, Rinku (Advisor); Deb, Sujay (Advisor) (IIIT-Delhi, 2023-11-29)
    Cloud providers host tenant applications on the shared server infrastructure and provide isolation by leveraging virtualization solutions such as virtual machines (VMs), containers, or serverless. The current virtualization ...
  • AI-driven tracking of hallmarks of aging mechanisms during chronological aging 
    Chopra, Garima; Aggarwal, Kush; Ahuja, Gaurav (Advisor) (IIIT-Delhi, 2023-11-29)
    Cellular aging, a complex phenomenon marked by the gradual degradation of essential cellular components, poses significant challenges in understanding its temporal orchestration and underlying mechanisms. The ”Hallmarks ...
  • Personal health records app 
    Yadav, Nittin; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    Health Interoperability has become a major concern in today’s period in which health records data is increasing rapidly. New healthcare hospitals and facilities are emerging increasing the need to create an interoperable ...
  • Object detection for autonomous driving 
    Goel, Atharv; Singh, Jyotirmaya; Anand, Saket (Advisor) (IIIT-Delhi, 2023-11-29)
    This thesis undertakes a comprehensive exploration of object detection technologies with a particular emphasis on their application in autonomous driving and related application settings. The research delves into 2D and ...
  • Computational creativity - virtual muse generative poetry 
    Oberoi, Rishabh; Parikh, Darsh; Agarwal, Manas; Bagler, Ganesh (Advisor) (IIIT-Delhi, 2023-11-29)
    The convergence of artificial intelligence with creative expression has given rise to the emerging field of Computational Creativity, a domain that explores the capacity of machines to generate innovative and aesthetically ...
  • Continuous glucose monitoring 
    Sahu, Sahil; Jalote, Pankaj (Advisor); Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2023-11-29)
    Diabetes is a chronic illness that affects millions of people worldwide and requires regular monitoring of a patient’s blood glucose level. Currently, blood glucose is monitored by a minimally invasive process where a small ...
  • Framework to execute queries on video from surveillance cameras 
    Singh, Yashika; Bhattacharya, Arani (Advisor) (IIIT-Delhi, 2023-11-29)
  • Light weight code - mix neural machine translation 
    Bansal, Subhanshu; Akhtar, Md. Shad (Advisor) (IIIT-Delhi, 2023-11-29)
    In the contemporary multilingual landscape of online communication, the emergence of codemixed language, the seamless integration of multiple languages within a single utterance, has become increasingly prevalent. The ...
  • Temporal causal effect variational autoencoder 
    Aggarwal, Soumya; Gandhi, Vansh; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2023-12-12)
    This work is a review on causal inference with a focus on predicting temporal Individual Treatment Effects (ITEs). Various approaches were investigated, and the Causal Effect Variational Autoencoder (CEVAE) was selected ...

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