This is the project I created for Lincode's Virtual Hackathon 2020.
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🤔 Can find precise answers from large paragraphs.
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🚀 Very Fast Responce Time.
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😎 Use of current State of the Art BERT model to Increase preciseness.
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♾ Infinite Quick Question-Answering once the model is set on the paragraph(Data).
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⏳ Can also answer Questions in Real-time without having to train on Data Paragraph using google's Word2Vec model.
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🌎 Ready to Deploy.
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Can be implemented in Frequently Asked Questions(FAQ) section for best user expirience.
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Study Helper: Just give the model the paragraphs you want to extract information from and just start asking questions!
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Chat-bot: with some tweaks the model can be transformed into a Personalised Chat-bot.
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python
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Pandas
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Numpy
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Tensorflow
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Word2Vec
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HuggingFace NLP
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NLTK
Thank you! 🖤