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Parag Amin

Biographic Data

ID10127806
NAMEParag Amin
GIVEN NAMESParag
FAMILY NAMEAmin
SIGNATUREAMIN P
AFFILIATIONSEntrepreneurial Ecosystems
ORCID0009-0005-0146-1815
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Educational Games Promoting Folk Culture Through Artificial Intelligence

    Open Access•Sarita Mohapatra, R Shobana et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    The paper explores the possibilities of educational games that help to encourage, sustain, and disseminate folk culture by giving Artificial Intelligence (AI) support. By integrating Natural Language Processing, Reinforcement Learning, and Computer Vision with Generative AI, the proposed framework will offer adaptive and immersive cultural learning conditions and rely on the actual regional traditions. The design-based method was employed, and it…

  • Image Restoration for Heritage Photography Using Ai

    Open Access•Vaishali Sandeep Baste, Mohit Malik et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    A significant portion of cultural and historical heritage is represented by photographic materials that are frequently damaged due to deterioration, poor storage or improper archival use. Traditional repair methods work to some extent, but are limited due to the need for physical work, analysis based on personal experience and processes that take a lot of time. Using the latest advancement of deep learning, this study proposes an AI-driven mechan…

  • Enhancing Aesthetic Appeal of Prints Using Neural Networks

    Open Access•Parag Amin, Paramjit Baxi et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    The appearance of printed pictures is extremely crucial to visual communication, product display, and art. Conventional methods of enhancing prints, such as colour repair, contrast control, and texturing refinements, tend to require that the end user manually adjusts the filter or relies on predefined filters, so they cannot be as adaptable to other types of pictures and printed media. With the emergence of deep learning and, in particular, neura…

No prominent works on this page.

  • Educational Games Promoting Folk Culture Through Artificial Intelligence

    Open Access•Sarita Mohapatra, R Shobana et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    The paper explores the possibilities of educational games that help to encourage, sustain, and disseminate folk culture by giving Artificial Intelligence (AI) support. By integrating Natural Language Processing, Reinforcement Learning, and Computer Vision with Generative AI, the proposed framework will offer adaptive and immersive cultural learning conditions and rely on the actual regional traditions. The design-based method was employed, and it…

  • Image Restoration for Heritage Photography Using Ai

    Open Access•Vaishali Sandeep Baste, Mohit Malik et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    A significant portion of cultural and historical heritage is represented by photographic materials that are frequently damaged due to deterioration, poor storage or improper archival use. Traditional repair methods work to some extent, but are limited due to the need for physical work, analysis based on personal experience and processes that take a lot of time. Using the latest advancement of deep learning, this study proposes an AI-driven mechan…

  • Enhancing Aesthetic Appeal of Prints Using Neural Networks

    Open Access•Parag Amin, Paramjit Baxi et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    The appearance of printed pictures is extremely crucial to visual communication, product display, and art. Conventional methods of enhancing prints, such as colour repair, contrast control, and texturing refinements, tend to require that the end user manually adjusts the filter or relies on predefined filters, so they cannot be as adaptable to other types of pictures and printed media. With the emergence of deep learning and, in particular, neura…

Aesthetic Perception and Analysis (2 works) · Convolutional neural network (2 works) · Cultural heritage (2 works) · 3D Surveying and Cultural Heritage (1 work) · AI in Service Interactions (1 work) · Artificial Intelligence Applications (1 work) · Artificial neural network (1 work) · Color Science and Applications (1 work) · Cultural artifact (1 work) · Cultural diversity (1 work)

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