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AWS-Dining-Assistant

The system is implemented with various Amazon Web Service, supports recommendation, ordering and intelligent review.

  • # through registering or using a google account.
  • # using the account created.
  • chat with lexbot with text to provide anticipate restuarant info and get recommendation with text messages
  • make orders for certain restuarants
  • review certain restuarants with star, text and selfie rating

Different Amazon Web Service applied in the project:

  • AWS S3: Host webpage producing by HTML and Javascript
  • AWS API Gateway: Integrates with AWS Lambda
  • AWS Cognito: Realized user verification and security
  • AWS Lex: Proceed natural language analyzing of user chat content
  • AWS SQS: Message queue for transmitting user messages
  • AWS Cloud Watch: Trigger lambda for certain period
  • AWS DynamoDB: Store user, restuarant and dish info
  • AWS SNS: Send text message to users
  • AWS Rekognition: Face Recognition
  • AWS Comprehension: Sentiment Analysis
  • AWS Lambda: Backend logistic processing for the whole system