We tackle the challenge, since we are understanding the supply chain, how the process occurs from the primary food producer, the transport part, companies, supermarkets and all those responsible for the process of purchasing and distributing food from the field to the comfort of home.
We have witnessed a serious accident that occurred in Cañete, a province of Peru, where the food provided by the government arrived in poor condition, which caused massive poisonings in schoolchildren. It was never possible to verify exactly when the batch of products was modified or modified, since there is no traceability system that affirms the origin of the food purchased and distributed, a system that cannot be corrupted or modified. That is why we find a multidisciplinary team that worked in organizations that deal with the process of purchasing and distributing products at the government level, therefore, we are passionate about the idea of doing a project that can mitigate foodborne illnesses. . that do not meet the correct health standards. We want to change the world and the way we obtain products by leaving the field, companies, supermarkets and the entire process that follows until we reach our home, ensuring that there is no human factor capable of affecting the tests that show that the products they are of quality and not counterfeited.
NASA GIBS
We use the data as a visualization tool, so that users who use the application are informed of the conditions of their food, using the GIBS tool, we can show the user the environmental state of a land on a given date, using other more maps Simple, with a vector routes approach, plus the raster data provided by GIBS, we can provide you not only with transaction-based guarantees, but also use that system so that the user knows the state of the terrain, where it all started, and we are more informed of the meteorological variables that affect our environment.
Development tools
Tools: Android Studio IDE, WebStorm IDE, Github
Languages: Java, Typescript, Solidity, Python
Frameworks: Angular 8, Django
Hardware: VPS Ubuntu OS
Software: node, npm, web3j, solcjs
API: Infura, NASA GIBS, ethereum
Problems and achievements
Probably one of the problems has been deciding which APIs we could work with more efficiently, however, the team understood each other in an incredible way, allowing us to develop prototypes and code for the mobile app, smart contracts, and website. which provides visualization of our product trajectory map around the world, using NASA's GIBS mapping API
Future Project Plan
Thanks to the data obtained, our vision is to be able to apply marching learning and thus create new prediction models, with which to make the purchases and sales of product batches safer and thus grow in the food sector. In this way, being able to face any other pandemic in the future and be prepared for it, offering a logistical registration system around the world. Our future plan is to be a reference and / or standard in food logistics systems.