Serverless ML system that classifies the incident category based on its time and location in San Francisco, US.
Prediction service that predicts the daily electricity demand in megawatthours in New York, USA.
Predicting the daily average energy price in Stockholm/SE3 for the upcoming 7 days.
ML pipeline that predicts the sentiment of and recommends news articles based on their headlines.
Automatically-updated machine learning-based traffic prediction service for the motorway E4 entering Kista.
Serverless machine learning pipeline for predicting the stock market price action based on past events.
Data-driven model that can predict the future behavior of selected stock market indices, based on real-time stock data and sentiment analysis for stock news.
A scalable architecture for a model that takes as input a song file and returns the song with all vocals removed.
A serverless song recommender for Spotify playlists based on your listening history and preferences.
Use of time-series data for training a Long short-term memory Recurrent Neural Network model, which serves for predicting the closing stock price of Tesla, Inc.
A machine learning system that predicts how many likes and upvotes a Reddit post will receive if it is posted.
This prediction service helps predict if an aurora will occur based on weather and Kp in Kiruna.
It aims to build an automated and scalable system that predicts the snow conditions for Passo Rolle.