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Repository for our project in Experts in Teamwork (EiT) at NTNU. The web app serves forecasts for water temperatures in Korsvika, Trondheim, based on historical data and forecasts from The Norwegian Meteorological Institute. The predictions are served via a pretrained ML-model in Tensorflow that is deployed to and loaded in firebase function.

Home Page: https://korsvika-water-temp.web.app

HTML 0.17% CSS 0.12% JavaScript 1.79% Jupyter Notebook 97.92%
keras tensorflow firebase firebase-functions react lstm time-series predictions ntnu eit

tma4851-water-temperature-prediction's Introduction

TMA4851-water-temperature-prediction

Repository for our project in Experts in Teamwork (EiT) at NTNU. The web app serves predictions for surface water temperatures at future dates, based on historical data from YR / Norwegian Meteorological Institute. Predictions are served via a pretrained Keras model that is loaded in a firebase function with Tensorflow.js.

The ML model consists of time-series data fed through a single convolutional layer which is then fed into two bidirectional layers of LSTM. This structure is commonly known as the "CNN-LSTM" model.

Live demo

Team members:

  • Anders Hoel
  • Herman Sletmoen
  • Nora Høva Erevik
  • Kaja Sofie Lundgaard
  • Henrik Lia
  • Magnus Schjølberg

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