Stock Price Prediction Model with Full-Stack Web Application and

Mohammed Abdul Moiz

ML Engineer
AWS S3
React
scikit-learn

Designed and developed a scalable web application using React.js forthe frontend and Node.js for the backend.

Implemented serverless architecture using AWS Lambda and API

Gateway for efficient resource utilization.

Utilized AWS DynamoDB for NoSQL data storage of stock data andpredictions.

Implemented real-time features using AWS AppSync and GraphQL

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