AllergiScan - bisonHACKS

If compiled, this project will deploy to an android application that will use the phones camera to scan candy to give a user allergen information.

Challenges we ran into

Our team had to face a variety of technical issues, such as the image detection module not working which caused many errors when we compiled. The biggest challenge we had to face was writing the code that would would take in a barcode from a moving image to then have a result be delivered to the user. This problem would require a database with sufficient data to scan all food items in a store. Instead we narrowed it down to four snack items. We used the teams mixed skillset to finally get the code to run and perform its intended function on a very limited amount of time.

Description

Our project consists of python code using the Kivy framework to all it to deploy to both android and iOS. The code uses the devices camera to scan barcodes and QR codes from products to cross check it with contents in a database. This application will allow for the facilitation of allergen information to the general public by producing a filter that allows them to know what they are consuming and whether it will cause them any harm. This project is a rough minimal viable product which means it will require greater efforts if it is to be deployed to the general public as it is currently limited by the database and time, hence we require additional data, funding, and time to eventually have this recognize everything in an American grocery store.