AI model that learns and draws into the map
Budget: $30 – $250 USD
We are developing a transportation system like uber-eats and we want to take the data we have (order rates, number of orders, number of available drivers in specific area) and present it in the map with colours, showing the most served and least served areas, so drivers can see the map and know where they would go to get more orders. Red being the most underserved areas and green the most served areas, and in between different colours.
We need the software to split map into blocks, then the software will take data that is generated by our system:
- drivers locations
- orders history.
- current order rate.
the software will then process the data and take available drivers in every block against hourly average orders in the block and see if currently there is enough drivers in the block, then will give it a score from 1 to 10, based on that, then software will then generate a picture using the map showing all the different blocks and their score, the score can be visualised as colours instead of numbers.
Attached is sample data generated by the system.
We need the software to split map into blocks, then the software will take data that is generated by our system:
- drivers locations
- orders history.
- current order rate.
the software will then process the data and take available drivers in every block against hourly average orders in the block and see if currently there is enough drivers in the block, then will give it a score from 1 to 10, based on that, then software will then generate a picture using the map showing all the different blocks and their score, the score can be visualised as colours instead of numbers.
Attached is sample data generated by the system.