Empuriapp

Machine learning classification model to predict skydiving conditions at the Empuriabrava airfield.

There are many factors that affect the conditions for skydinving, and having all the information in one place helps to plan the jump or even deciding if going at all to the drop zone.

After collecting initial data for 2 months, I implemented a machine learning classification model to predict the jump conditions. This was a combination of automatic and manual labelling. After the proof of concept was developed, some adjustments were necessary and then it was all set on auto mode.

Using historic weather conditions and airfield specific data features, the model is capable of predicting jumping conditions with 92% of confidence.

The uniqueness of skydiving it that it is not just a binary classification as in "can jump" or "cannot jump". The model is trained to classify 10 categories, which include conditions for jumpers with different types of licenses, number of jumps or experience.

Check it out!

PS: Are you a skydiver? I would love to hear your feedback!