Repo for the Chatbot (Virtual Assistant) implemented in Rasa and Python, which automates the customer service of an e-commerce website.
- Possibility for the user to get from the chatbot:
- answers to questions about the company and its services
- additional information about the products sold by the company
- a change in his account information such as the first name used on the website, phone number and email address
- Possibility for the user to make requests directly through the chatbot, such as:
- sending a request directly to the company's customer service department so that it can be processed at a later date
- suggesting a new product the company should sell on the website
- providing a feedback regarding his chat experience at the end of each conversation
- Designed 22 conversation scenarios based on the writing of 2211 examples of user intents as NLU training data and 768 chatbot responses in English on the Rasa framework
- Used Rasa Open Source for the chatbot architecture
- Used Rasa Action Server to execute "custom actions" allowing the chatbot to validate forms and query a MySQL database
- Integrated the chatbot on a local copy of a PHP e-commerce website as a rest API using the Webchat plugin in JavaScript
The idea behind the codes I uploaded in this repo is to show you what are the important aspects to take into account in order to concretely implement a Chatbot in Rasa and Python, so it helps you implement your very own version of it. It's not about just cloning the repo. The project presented here actually required 4 months of research and work during my second internship assignment in Data Science at Deutsche Telekom, so I only shared the main points.