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Using TF-IDF and Keyword Extraction techniques to perform matchmaking between multiple parties in multi event system. (Python, Flask, NLTK, SQLite, Bootstrap)

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NLP Matchmaking using Python Flask, TF-IDF and Keyword Extraction

Features:

  1. Create multiple events.
  2. Add multiple users associated to each event
  3. Define interets and background on each attendee
  4. The application performs 1-1 matchmaking for different attendees in any given event.

Technologies used:

  1. Python
  2. Flask
  3. NLTK
  4. YAKE implementation
  5. SQLite
  6. Bootstrap for templating

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Using TF-IDF and Keyword Extraction techniques to perform matchmaking between multiple parties in multi event system. (Python, Flask, NLTK, SQLite, Bootstrap)

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