Jay206-Programmer / Bert_based_Question_Answer_Bot

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Bert based Question Answer Bot (NLP)

This is the project I created for Lincode's Virtual Hackathon 2020.

Features of the Model:

  • πŸ€” Can find precise answers from large paragraphs.

  • πŸš€ Very Fast Responce Time.

  • 😎 Use of current State of the Art BERT model to Increase preciseness.

  • β™Ύ Infinite Quick Question-Answering once the model is set on the paragraph(Data).

  • ⏳ Can also answer Questions in Real-time without having to train on Data Paragraph using google's Word2Vec model.

  • 🌎 Ready to Deploy.

Use Cases:

  1. Can be implemented in Frequently Asked Questions(FAQ) section for best user expirience.

  2. Study Helper: Just give the model the paragraphs you want to extract information from and just start asking questions!

  3. Chat-bot: with some tweaks the model can be transformed into a Personalised Chat-bot.

Tech-Stack:

  • python

  • Pandas

  • Numpy

  • Tensorflow

  • Word2Vec

  • HuggingFace NLP

  • NLTK

More-info in README.docx

Thank you! πŸ–€

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License:MIT License


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