TaBiB Healthcare Chatbot

Tabib: Chatbot for Healthcare Automation with Audio Assistance using Artificial Intelligence

Purpose : Major Project

Team Size : 4

Duration : 10 Months [ Oct. 1, 2021 - June 30, 2022 ]

Key Skills : Rasa AI , Python , NLP , Flask , HTML , CSS , JavaScript

It is a Web-based Chatbot to automate healthcare management with audio assistance. Users can get immediate medication for their symptoms and book appointments via an audio feature. In addition to text assistance, this chatbot has an audio assistance feature. This feature eliminates the restrictions that visually impaired patients face with currently available text-enabled healthcare chatbots. This voice-enabled chatbot was designed and developed using the Rasa interface for the backend, the Web Speech API, and the Talkify API for voice input and output, respectively. Title: ' TaBiB: Chatbot for Healthcare Automation with Audio Assistance using Artificial Intelligence '. The project was presented and was approved at the 6th National Conference of Science and Engineering (NCSEM), 2022. Tools used : Rasa AI, Python, NLP, Flask, Web Speech API, Talkify API, HTML, CSS in Atom Editor.

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TaBiB Bot Commands

• Download and install Anaconda

https://www.anaconda.com/products/distribution

• Download C++ redistributable

https://docs.microsoft.com/en-US/cpp/windows/latest-supported-vc-redist?view=msvc-170

• Create a new anaconda environment open anaconda prompt

conda create -n tabib_bot python=3.8

conda activate tabib_bot

• Update pip

python -m pip uninstall pip

python -m ensurepip

python -m pip install -U pip

• Install Dependencies

pip install flask

pip install requests

• Install Rasa

pip install rasa

rasa --version

• Running Rasa server

cd (target  Tabib_Bot\rasabot  directory) [ex: cd C:\Users\Computer Name\Downloads\Tabib_Bot\rasabot]

rasa run -m models --endpoints endpoints.yml --port 5002 --credentials credentials.yml

• Running Flask for Web App open another terminal

cd (target  Tabib_Bot\web_app  directory) [ex: cd C:\Users\Computer Name\Downloads\Tabib_Bot\web_app]

flask run

• To run TaBiB website open browser

localhost:5000

• To train rasa bot

rasa train

rasa shell nlu

• To view sequence graph of rasa bot

rasa visualize

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Team Members

@github/aakif123

@github/adham-n4a7

@github/afsar

@github/nazim

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