Python - Java/Scala API for the Hopsworks feature store

Python SDK to interact with the Hopsworks API

Hopsworks Machine Learning Api 🚀 Model management with a model registry and model serving

Streaming feature pipelines using Flink, Coinbase websocket APIs and Hopsworks

A command-line client and java library for interacting with Hopsworks via its REST API

Hopsworks REST API (Deprecated)

Plugins for building Hopsworks API

Python - Java/Scala API for the Hopsworks feature store

Go SDK to interact with the Hopsworks API

Real-Time Air Quality Index (AQI) Predictor using API and Hopsworks

End-to-end ETL pipeline for historical air pollution data using OpenWeather API and Hopsworks

Developed an end-to-end Air Quality Index (AQI) prediction system using a fully serverless architecture. Automated data pipelines with GitHub Actions to fetch real-time weather and pollutant data from APIs, and managed features and models through Hopsworks for scalable forecasting.

This project utilizes machine learning to forecast Air Quality Index (AQI) for the next three days. By combining real-time data from weather APIs, Hopsworks as a feature store, and a Streamlit dashboard for visualization, it provides an efficient and seamless pipeline for monitoring and predicting air quality levels.