Cloud Computing - CSGY 9223 - NYU Tandon
- Suriya Prakash Jambunathan (sj3828)
- Vamsi Krishna Bunga (vb2279)
This project seeks to revolutionize the customer service experience by leveraging the power of Natural Language Processing.
Our goal is to create a responsive chatbot that provides restaurant suggestions tailored to users’ preferences, which are collected through conversational interactions.
- Web Interface: Frontend hosted on AWS S3.
- API: Set up via API Gateway with CORS enabled.
- Chatbot: Developed on Amazon Lex, it gathers user preferences such as location, cuisine, and more, pushing data to an SQS queue.
- Lex Integration: Seamlessly integrated into our API using AWS SDK.
- Data Collection: Over 5,000 Manhattan restaurants sourced from Yelp, stored in a DynamoDB table.
- ElasticSearch: Efficient restaurant search capability indexed under “restaurants”.
- Recommendation System: Fetches suggestions from ElasticSearch and DynamoDB, and sends them to users via SES.
This project is a comprehensive demonstration of serverless architecture, microservices, and integration of multiple AWS services to enhance the dining experience for users.
