sowmya-nittala/aws-dining-concierge-chatbot

AWS Dining Concierge chatbot

Task:
Implement a serverless, microservice-driven web application. Specifically, you will build a Dining Concierge chatbot that sends you restaurant suggestions based on a set of preferences that you provide the chatbot with through conversation.

Architecture Diagram:

AWS Services used:

1. S3
2. API Gateway
3. Lambda
4. Lex
5. SQS
6. SNS
7. DynamoDB
8. ElasticSearch

Example Interaction:

User: Hello
Bot: Hi there, how can I help?
User: I need some restaurant suggestions.
Bot: Great. I can help you with that. What city or city area are you looking to dine in?
User: Manhattan
Bot: Got it, Manhattan. What cuisine would you like to try?
User: Japanese
Bot: Ok, how many people are in your party?
User: Two
Bot: A few more to go. What date?
User: Today
Bot: What time?
User: 7 pm, please
Bot: Great. Lastly, I need your phone number so I can send you my findings.
User: 123-456-7890
Bot: You’re all set. Expect my suggestions shortly! Have a good day.
User: Thank you!
Bot: You’re welcome.

(a few minutes later)
User gets the following text message:
“Hello! Here are my Japanese restaurant suggestions for 2 people, for today at 7 pm: 1. Sushi Nakazawa, located at 23 Commerce St, 2. Jin Ramen, located at 3183 Broadway, 3. Nikko, located at 1280 Amsterdam Ave. Enjoy your meal!”