Crowdless

Crowdless -- A simple solution to over-tourism. Recommendations for avoiding crowded tourist areas and promoting local communities.

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  • Greece

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  • Challenge #3: Beyond Horizons – Redefining Travel with Space Innovation

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Description

Crowdless

Our Idea:
A Machine Learning powered model that predicts crowds and recommends tourists alternative, lesser known local areas, helping regulate over-tourism problems.


Use of EU space technology:

We have trained the algorithm with data from Copernicus (Sentinel-1 and Sentinel-2 satellites) and we track users with Galileo.

Link with the Challenges:

We have tackled the 3rd Challenge; Beyond Horizons – Redefining Travel with Space Innovation. Our idea helps with the distribution of tourists, promoting a more sustainable way of travelling.


Overview of the Team Members:

Mariglena Reci - Marketing Specialist & Product Designer

Alex Gkiafis - UI/UX Developer, Frontend

Stelios Rotas - Backend Developer

Theodoros Exarchos - Backend & Implementation Research

Panagiotis Thivaios - Business Manager


Presentation:
You can find the PDF pitch presentation in the attachments.

Attachments