Inspiration

A brief story about the initial idea of FruitTrace, which is now a reality, started around 2018. At that time, an unexpected scenario happened in Juba-South Sudan, my motherland, when all the pawpaw trees within the city suddenly developed a very strange plant disease that made them unhealthful for human consumption. At my age back then, I had an idea of how I could help my people, who often enjoyed the fruit, which was a source of nutrients to them, but I didn’t know how I would help in its implementation. As I advanced in my education and exposure to the world of technology, the idea became more realistic so that finally I could be able to do something to help my people. It’s such an honor that I can be a problem solver in today’s world by being able to use different technological tools to solve problems.

What it does

It gets's users upload images or takes a straight phone camera picture and then classifies the name of the fruit as either rotten or ripe, hence not edible and edible, respectively.

How we built it

We built FruitTrace after careful thinking and planning and also our scalability for the project in the future. We are a team of backend developers and frontend developers and a datascientist that worked together in assembling all the components for the functioning of the application.

Challenges we ran into

As our projects focused on AI module training it to detect fruit editability, we encountered a lot of errors during debugging and making the module accurate to provide good feedback to the user. Minor challenges are the time efficiency and documenting everything as the hackathon requirements. Computer compatability: for training the module, we require a high GPU and also how expo (React Native) the problems we encountered.

Achievements that we're proud of

"Code Crafter" is earned for solid, functional code. "Innovator" recognizes a unique concept. "Team Titan" celebrates strong teamwork. "Rapid Prototyper" honors quick development. "Demo Dynamo" is for a compelling demo. "Bug Buster" acknowledges exceptional debugging.

What we learned

We learned how to strongly become a team that cooperates with each other and achieves goals together because teamwork makes a dream work.

What's next for FruitTrace?

Usage of real-time camera coverage to be able to identify a large number of fruitsβ€”those that are ripe and those that are rotten. Providing a platform for users, especially consumers, to be able to give their feedback about the places that sell fruits.

Built With

Share this project:

Updates