Project Khoj

Last updated on Mar 3, 2023
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  • Project Khoj is an AI based Search Recommendation System which uses Image Classifier with Color Extractor and a NLP based ChatBot to provide the user a concise list of fashion products based on his/her interaction with the above mentioned interactors.

  • The user can use either the ChatBot or the Image Classifier to generate filters for the search recommendation. The project uses Jsoup API to extract the product name, price, description and the corresponding product list based the user input/ interaction from Flipkar, Jabong and Snapdeal.

Modules used:

  • Tensorflow for Image Classification
  • jsoup for web scraping
  • Opennlp for build ChatBot based on Text Classification
Software Development Computer Vision Natural Language Processing
Niraj Yagnik
Niraj Yagnik
Computer Science Grad Student and Researcher

My research interests include but are not limited to Recommendation Systems, Natural Language Processing, Machine Learning, and Social Computing.