Upon entering the system, it will be possible to see a map where a certain region will be chosen (data obtained from NASA through API and CSV files). Then, the fruits and vegetables that can be harvested in that region will be shown, organized according to the weather, on a certain date that can be historical or current. Likewise, for each displayed fruit or vegetable, it is possible to access the detail of each one, where it will be shown the way it can be cultivated, through a brief explanation in text, images and links to related videos.
The project was inspired on the fact that in most countries a problem related to COVID-19 was repeated. Many people were confined, with little or nothing to eat, and those essential fruits and vegetables could not be supplied due to the border closures, so we focused on creating an application to strengthen food banks and promote urban agriculture.
The project was developed under the Django framework, with the Model- view-template schema, the postgresql database. The NASA data is used through API and CSV files provided
Problems related to the challenge time arose, since it was supposed to be developed in 48 hours, but fortunately it could be completed on time, and the goal has been achieved through experience and research.