In this project, builded a chatbot for 'Foodie'.

• NLU training: One can use rasa-nlu-trainer to create more training examples for entities and intents. Try using regex features and synonyms for extracting entities.
• Build actions for the bot: Read through the Zomato API documentation to extract the features such as the average price for two people and restaurant’s user rating. One can also build an ‘action’ for sending emails from Python.
• Creating more stories: Use train_online.py file to create more stories. Refer to the sample conversational stories provided above.