Customer Service is a core service for a lot of businesses around the world and it is getting disrupted at the moment by Natural Language Processing-powered applications. Hungrazy is a server-less, microservice-driven web application specifically, a Dining Concierge chat bot that sends you restaurant suggestions given a set of preferences that you provide the chat bot with through conversation.
- Used to deploy the front-end starter application to interface with the chatbot
- API Gateway handles all the tasks involved in accepting and processing up to hundreds of thousands of concurrent API calls, including traffic management, CORS support, authorization and access control,
- Amazon Lex is a web service that allows customers to include conversational interfaces for voice and text in the software applications they are developing.
- Implemented LF0 to facilitate chat operation using request/response model (interfaces) specified in the API
- Used LF1 as a code hook for Lex to manipulate and validate parameters as well as format the bot’s responses, which essentially entails the invocation of Lambda before Lex responds to any requests.
- Developed LF2 to perform Open search on the data to get the top 5 results corresponding to the user's query and fetch the details from DynamoDB. The recommendations are sent to the users via email using Amazon SNS service.
- Used to collect the information provided by the user and to an SQS queue
- Unstructed Database used to store the restaurant details scraped from Yelp
- Used to store the indices and cuisines of the data
- Used to notify the users with an email containing the top 5 restaurant recommendations
