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CHATBOT

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Project

(Three Modules delivered using Flask app)
mainpage

General COVID information based chatbot

  • Trained 2 models ( Sequential neural network containing dense layers and LSTM based sequential model ) on combined data from scraped WHO site and general chatbot dataset using Tensorflow

Lung X-ray analyzer chatbot

  • Implemented AutoML using Autokeras to find the best model for image classification of lung X-rays

Statistics based chatbot

  • Scraping COVID-19 data from a Web-API and using Cosine Similarity to provide reliable statistics

Models used

  • Model 1 model1
  • Model 2 model2
  • Image classification model and metrics model3 model3

General chatbot responses examples

Model 1 bot1 Model 2 bot2 Stats stats

Set up

  • Clone the repo
  • Create a virtual environment and activate it \
python -m venv venv
source venv/bin/activate
  • Install requirements.txt
  • Run:
python app.py

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