BTech Projects: Recent submissions

  • Ontology learning from text 
    Sachdeva, Nikhil; Mutharaju, Vijaya Raghava (Advisor) (IIIT-Delhi, 2020-06-08)
    Ontology Learning is the semi-automatic and automatic extraction of ontology from a natural language text, using text-mining and information extraction. Each ontology primarily represents some concepts and their corresponding ...
  • Scalable and accurate detection of semantic clones 
    Agarwal, Navdha; Purandare, Rahul (Advisor) (IIIT-Delhi, 2020-06-03)
    Code clone detection plays an important role in software maintenance and evolution. There are many new applications emerging that rely on clones detected across software systems, and hence to address this, many code clone ...
  • Filter-based reinforcement learning for adaptive optimal control of continuous-time dynamical systems 
    Kaur, Avneet; Bharti, Moh; Roy, Sayan Basu (Advisor); Banerjee, Shilpak (Advisor) (IIIT-Delhi, 2020-06-02)
    The Report describes the Linear Quadratic Regulator(LQR) and the study of the linear systems on different types of systems i.e single agent and multi-agent systems.Different approaches are available for creating an optimal ...
  • Detecting Iris spoofing attacks 
    Gupta, Mehak; Singh, Vishal; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2020-05-26)
    The deployment of biometrics features based person identification has increased significantly from border access to mobile unlock to electronic transactions. Iris recognition is considered as one of the most accurate ...
  • HandWash - IoT 
    Garg, Mannika; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2020-05-31)
    Lack of hand-hygiene is one of the major causes of the spread of various bacterial diseases. Proper hand hygiene can be pivotal in the prevention of such healthcare-associated infections. In this project, we come up with ...
  • Memory-efficient filter based policy iteration zero sum two player differential game for adaptive LQR 
    Singh, Mandeep; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2020-07)
    A memory efficient filter based iterative algorithm is proposed for a two-player zero sum linear differential game problem arising in the control of process systems affected by disturbances.The objective in such a scenario ...
  • Trusted AI 
    Tandon, Madhur; Garg, Mudit; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2020-05-22)
    There are various domains under which Machine Learning has been successfully applied. With the availability of high computing resources, tasks such as image classification, object detection and others are easily tackled ...
  • WashKaro 
    Bhagat, Kanav; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2020-05-25)
    My B-tech Project is based on the problem was initially in concerns with the water sanitation and hygiene-related issues targeting the illiterate masses which was later transformed into an app that produces wetted ...
  • Knowledge graphs In medical domain 
    Anand, Gyanesh; Shah, Rajiv Ratn (Advisor); Mutharaju, Vijaya Raghava (Advisor) (IIIT-Delhi, 2020-05-31)
    With the explosion of healthcare information, there has been a tremendous amount of heterogeneous Textual Medical Knowledge(TMK), which plays an essential role in healthcare information systems. Existing works for integrating ...
  • Pursuit-evasion using reinforcement learning 
    Bhagat, Dhruv; Mahalwal, Manish; Sujit, PB (Advisor) (IIIT-Delhi, 2020-05-30)
    In pursuit-evasion problems, we are presented with one or more pursuers attempting to capture one or more evaders. We consider the same problem in a bounded and convex physics-based environment. In our case, the agents ...
  • Active learning for visual wildlife monitoring 
    Srivatsav, Deepak Magesh; Anand, Saket (Advisor) (IIIT-Delhi, 2020-05-30)
    Wildlife monitoring and tracking are vital for the preservation of various wildlife species. Activities such as poaching and loss of habitat have made wildlife monitoring and tracking increasingly tricky. Modern-day ...
  • Community detection in networks 
    Agrawal, Chaitanya; Das, Syamantak (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2019-11-15)
    We are trying to devise a community detection algorithm for networks through modularity maximization. In this semester we further studied and understood the modularity function. We have explored semi-supervised active ...
  • Filter-based reinforcement learning for adaptive optimal control of continuous-time dynamical systems 
    Kaur, Avneet; Roy, Sayan Basu (Advisor); Banerjee, Shilpak (Advisor) (IIIT-Delhi, 2020-06-02)
    The Report describes the Linear Quadratic Regulator(LQR) and the study of the linear systems on different types of systems i.e single agent and multi-agent systems.Different approaches are available for creating an optimal ...
  • Image repurposing detection 
    Kumar, Ashwat; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2020-06-01)
    Image Repurposing is a type multimedia manipulation in which instead of manipulating image and it’s content, manipulation is done on it’s associated modality. For example - image’s caption, location metadata, author ...
  • Predicting deep learning architecture 
    Chauhan, Arushi; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2020-06-02)
    Convolutional neural networks are being extensively used in real world applications like image and video classification, natural language processing, medical image analysis, recommender systems etc. where previously machine ...
  • Photo DNA 
    Singh, Aditya; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT Delhi, 2020-05-26)
    Awareness of sexual abuse of children has grown enormously over the past two decades - however, the recent advancements in technology has also made it easier to propagate it. To tackle this problem, we develop an image ...
  • Online bipartite matching 
    Aggarwal, Aayush; Das, Syamantak (Advisor) (IIIT Delhi, 2020-06-06)
    We are given a bipartite graph G(R, S, E) (|R| = |S|), where R denotes the set of requests and S being the set of servers. The requests R (given by an adversary) arrive sequentially along with their distances to each of ...
  • Information sharing in multi agent systems 
    Pai, Sharan; Sujit, PB (Advisor) (IIITD-Delhi, 2019-11)
    To investigate the effcacy of Information Sharing Schemes in Decentralized Multi-Agent Systems. We mainly focused on a Multi-Agent framework for Multi-Task Learning and then moved to Information sharing with Experience-based ...
  • Sentiment analysis of news and social-media for creating trading strategies 
    Kataria, Tushar; Agarwal, Vasu; Chakraborty, Tanmoy (Advisor) (IIITD-Delhi, 2018-11-26)
    The problem of stock market predictability has intrigued both academia and industry. In this thesis, we try to empirically predict the stock market using models from deep natural language processing. We review existing ...
  • Non-linear editing 
    Sheoran, Aashanvit; Chaudhary, Abhishek; Singh, Robin; Kumar, Yogesh; Khushalani, Manohar (Advisor) (IIITD-Delhi, 2018-07-07)
    There is a social dilemma in which men have been hurting women in ways which is not being taken care of. Therefore through this report, we will be shedding some light on different and fascinating ways like how and what ...

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