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A full-stack serverless movie recommender application that recommends movies to users based on MBTI personality indicators

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1liale/mbti-movie-recommender

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MBTI Movie Recommender

About

A full-stack serverless web application that recommends movies to users based on their predicted MBTI personality indicators.

MBTIMoviesHome

Technologies (Original Idea)

Frontend: TS, Svelte + SvelteKit, TailwindCSS, Flowbite UI Library, AWS amplify

API: API Gateway

Backend: Lambda Functions, MongoDB and SageMaker to run ML models

Project Architecture

Not a full accurate picture of current setup

Current Setup

Hosting: Deployed to Vercel CDN

Frontend: TS, Svelte + SvelteKit, TailwindCSS, Flowbite UI Library, Amplify SDK

API: Appsync Graphql API

Backend: MongoDB, Cognito Userpools, Identity Pools

Will still have to develop the next steps of integrating the ML model for making MTBI predictions into the project (MLOps), potentially using tools like Lambda and Sagemaker to make it work

About

A full-stack serverless movie recommender application that recommends movies to users based on MBTI personality indicators

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