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Files required for creating a college enquiry chatbot using RASA which is an open-source machine learning framework used for building automated text and voice- based chatbots. The given chatbot is able to answer user's queries on courses, admissions and placements before applying to a college.

License: Apache License 2.0

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machine-learning rasa rasa-chatbot rasa-nlu rasa-core college-project enquiry-chatbot chatbot-framework chatbot chatbots

college-enquiry-chatbot-using-rasa's Introduction

college-enquiry-chatbot-using-RASA

Steps for creating College Enquiry Chatbot: using RASA

Step - 1

Create a virtual environment using Anaconda Prompt.

Screenshot (237)

Step - 2

  1. Activate the virutal environment using prompt (Command Line).
  2. Check your python version because rasa works only for few versions.

Install rasa using:

pip3 install rasa

For more information follow RASA documentation: https://rasa.com/docs/rasa/2.x/

Step - 3

  1. Create a new folder inside the virtual environment where you will initialize rasa project.
  2. Go to the path of the newly created folder.
  3. Type rasa shell on the command line. This will open the command line interface of rasa.
  4. Now type rasa init which will initialize our project and will create every file we require for training.

Step - 4

  1. Now, we just have to edit the files according to our problem statement.
  2. You can use default or customized pipeline for training.

Step - 5

Train rasa using rasa train command on the rasa shell.

Step - 6

  1. Run rasa on the same port you are running your web application using command ' rasa run -m models --enable-api --cors "*" '
  2. Open your web application using any browser and see how well your chatbot is responding to your queries.

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