Problem Statement An Indian startup named 'Foodie' wants to build a conversational bot (chatbot) which can help users discover restaurants across several Indian cities. You have been hired as the lead data scientist for creating this product. The main purpose of the bot is to help users discover restaurants quickly and efficiently and to provide a good restaurant discovery experience.

Rasa Installation Rasa Version : 2.0.2 Rasa SDK Version : 2.0.0 Rasa X Version : None Python Version : 3.8.5 Operating System : Linux-4.15.0-97-generic-x86_64-with-glibc2.10

Restaurant Search Restaurant search based on the location, cuisine, budget

method for location, cuisine, budget, email etc.

Email Features ask the user whether he/she wants the details of the top 10 restaurants on email. If the user replies 'yes', the bot should ask for user’s email id and then send it over email. Else, just reply with a 'goodbye' message.

Deployment & Slack Integration Integrated slack and fix the issue of rasa 2.0 to make the interaction with slack. Github link of the rasa 2.0 issue: https://github.com/RasaHQ/rasa/pull/6986/files

Update email id and password Filename: action.py class: class ActionSendEmail(Action) Method: s.login("[email protected]", "xxx@1xx3") msg['From'] = "[email protected]"

Update zomato token class: class ActionSearchRestaurants(Action) Token: config = {"user_key": "xxxxx4a834xxxx49000000da4dfxxxxx"} method: retrieve_restaurant(lat, lon, cuisines_dict, cuisine, res_key, d_rest):

Commands rasa train rasa train nlu rasa train core rasa run rasa interactive rasa shell rasa run actions