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  Published Paper Details:

  Paper Title

NLP Based Personalized Craft Idea Generator

  Authors

  PALLALA INDRANI,  POLIDASU JANAKI,  PADALA GAYATHRI REDDY,  Prof. Sweety Julia,  PADUBANDLA CHANDRAHASINI

  Keywords

T5 Model,GPT Models, Recommendation System, Natural Language Processing (NLP), Machine Learning

  Abstract


The NLP-Based Personalized Craft Idea Generator is an advanced AI-driven system that offers customized craft ideas tailored to individual preferences, including skill level, available materials, specific occasions, and sustainability considerations. By leveraging cutting-edge natural language processing (NLP) models such as T5 and GPT, the system efficiently processes user inputs to generate well-structured and innovative craft suggestions. The platform integrates technologies like React.js for the frontend, MongoDB for data management, and NLP libraries to ensure smooth functionality. Designed for hobbyists, educators, and DIY enthusiasts, it simplifies the creative process by providing personalized recommendations, reducing the need for extensive manual searches. Additionally, the system promotes eco-friendly crafting by encouraging the use of sustainable materials. Future developments aim to enhance user interaction through voice-based inputs and real-time AI-driven personalization, making crafting more intuitive, accessible, and inspiring for users of all experience levels.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2504333

  Paper ID - 280710

  Page Number(s) - c773-c777

  Pubished in - Volume 13 | Issue 4 | April 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  PALLALA INDRANI,  POLIDASU JANAKI,  PADALA GAYATHRI REDDY,  Prof. Sweety Julia,  PADUBANDLA CHANDRAHASINI,   "NLP Based Personalized Craft Idea Generator", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 4, pp.c773-c777, April 2025, Available at :http://www.ijcrt.org/papers/IJCRT2504333.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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