Optimization of delivery routes of food and essential goods

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  Clusterization that reflects the areas with more requests of food, to set the delivery routes to maximize resources

Inspiration

There is lot of people that needs to stay at home for the quarantine to be successful The demand for basic supplies, like food, grows. This causes that the delivery system becomes overloaded with requests

What it does

It allows to group several requests based on geographical location to be able to maximize the deliveries of the goods. Instead of allowing people to pick a time, people would just choose the goods and the system will collect all the requests and group them together to be delivered to all the customers that live close to each other. This seems to be possible, as in time of quarantine people is always at home, so the pick of a specific time becomes less important.

How I built it

I generated location data points inside the republic of Ireland using python. Then, I imported the data in elasticsearch, and generated clusters of people that have requests.

Challenges I ran into

To try to put this together in a couple of hours. It is in a very early stage of development, but I think the concept is clear and the POC shows the feasibility of the project.

Accomplishments that I'm proud of

To put this together in just a couple of hours by myself. I knew about the hackathon just a couple of hours before the submission deadline

What I learned

What's next for Optimization of delivery routes of food and essential goods

To have a better way of clusterization and a more automated way to choose the deliveries. Also a front end to register the requests of food, and an admin panel to see the clusters and set the routes

Built With

• elasticsearc
• python