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AWS based serverless restaurant AI assistant (a) Restaurant Recommendation Chatbot: Built a chatbot with Lex, ask and gather user data. Make recommendations through ElasticSearch. Data stored in DynamoDB. (b) Intelligent Review System: Users upload photos / submit text review, AWS Comprehend & Rekonition do sentiment analysis. (c) Online Orederi…

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AWS_Restaurant_Order_Assistant

  • AWS based serverless restaurant AI assistant, Columbia University COMS6998 Cloud Computing and Big Data final project

(a) Restaurant Recommendation Chatbot: Built a chatbot with Lex, ask and gather user data. Make recommendations through ElasticSearch. Data stored in DynamoDB.

(b) Intelligent Review System: Users upload photos / submit text review, AWS Comprehend & Rekonition do sentiment analysis.

(c) Online Oredering: Allow users to choose restaurant and dishes from front end. SNS used to send message to restaurant owners.

Please see /project_report.pdf for details.

Core codes in /Lambda_functions and /resources/js

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AWS based serverless restaurant AI assistant (a) Restaurant Recommendation Chatbot: Built a chatbot with Lex, ask and gather user data. Make recommendations through ElasticSearch. Data stored in DynamoDB. (b) Intelligent Review System: Users upload photos / submit text review, AWS Comprehend & Rekonition do sentiment analysis. (c) Online Orederi…

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