A full-stack serverless web application that recommends movies to users based on their predicted MBTI personality indicators.
Frontend: TS, Svelte + SvelteKit, TailwindCSS, Flowbite UI Library, AWS amplify
API: API Gateway
Backend: Lambda Functions, MongoDB and SageMaker to run ML models
Not a full accurate picture of 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
andSagemaker
to make it work