This is a serverless, microservice-driven web application using AWS (Amazon Web Service). Specifically, it is a Dining Concierge chatbot, that sends customer restaurant suggestions given a set of preferences that he or she provides the chatbot with through conversation.
We gather all of our code here. Note that the code here cannot be run directly because we use AWS to delopy this application. Almost half of the work is to create and configure AWS components. The used AWSs are listed as followings:
- S3 (deploy front-end stuff)
- API Gateway with swagger (RESTful APIs)
- Lambda function in AWS to handle request from front-end
- Lex enables chatbot to chat and collect customer's intent (size of pizza, topping etc.)
- Lex a service for building conversational interfaces into any application using voice and text.
- SQS stores request and we have another lambda function to pull requests from the queue periodically.
- Simple Queue Service (SQS) is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications
- dynamoDB: a noSQL database to store resturants data
- we pull resturants data from yelp everyday
- ElasticSearchService for quick search of restaurants
