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This repo contains my project works performed during my Research Internship at AI Institute, University of South Carolina, USA in collaboration with Indian Institute of Technology, Roorkee during the time period of May - August, 2021 under the guidance of Prof. Biplav Srivastava (AIISC) and Prof. Sandeep Kumar (IIT-R).

Home Page: https://www.youtube.com/watch?v=4xU-FKtuYbk

Python 27.18% HTML 49.69% Dockerfile 16.30% Shell 6.84%
rasa-chatbot python3 anaconda-environment chatbot django-rest-framework chatroom docker socket-io tenserflow

chatbot_aiisc's Introduction

ChatBot_AIISC

This repo contains my project works performed during my Research Internship at AI Institute, University of South Carolina, USA in collaboration with Indian Institute of Technology, Roorkee during the time period of May - August, 2021 under the guidance of Prof. Biplav Srivastava (UoSC) and Prof. Sandeep Kumar (IIT-R).

Project Title

Chatbot generator for visitors at a University and proving their effectiveness by randomised controlled trial (RCT)

Tech Stacks Used

  • Rasa Framework for Basic Chatbot
  • Python for customization
  • React based Chatroom for UI
  • Django, Docker, Shell, Socket.io for Deployment

Project Presentation

Checkout the working videos below:

Checkout my presentation slides

You can watch my presentation at AIISC on Youtube (8:25 - 14:20)

To Test The Chatbot

Steps to test the Rasa Chatbot:

  1. Create a new Conda environment.(Example : Conda activate rasaenv)
  2. Go to the project directory.
  3. pip install rasa
  4. rasa run -m models --enable-api --cors "*"
  5. rasa run actions
  6. Open the html file in the project directory to connect to the chatbot UI.

Collaboration

If you want to suggest any improvement or want to collaborate on the project, do mail me or connect on LinkedIn. Thanks!

References

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