A web app for discovering cities with similar climates. Data from National Centers for Environmental Information. Utilizes average monthly minimum and maximum temperatures from over 100,000 locations globally as vectors for vector search with Pinecone. Future iterations will include the use of precipitation data and Köppen classifications a added dimensions for each vector. Frontend developed using NextJS and Tailwind CSS. Backend leverages the Serverless framework and AWS Lambda.

A web app for discovering cities with similar climates.

A bespoke AI sample generator made by musicians, for musicians. Allows artists to upload their own samples to train custom marketplace generative music models and get paid for usage. Allows consumers to support artists directly and obtain an infinite number of unique samples for their own production. Frontend made using NextJS and Tailwind CSS, backend built using the Serverless framework and AWS Lambda. Database used was AWS DynamoDB (NoSQL). Serves 100+ monthly users, all generating sounds on a daily basis.

An AI sample pack generator that pays artists.