Image Confusion Solver

Inspiration

https://www.youtube.com/watch?v=ACmydtFDTGs

We watched this video and thought it was hilarious. In keeping with the tropical theme, we wanted to devise a program that would determine if a given image was a pineapple or not a pineapple.

What it does

Using a neural network, our program can determine with accuracy whether a user-inputted image contains an object that in the predefined list of objects.

How we built it

We watched youtube videos on neural network design and then implemented the cifar10 dataset as a base to train our model. Initially, we did not know what every single function in the program meant, but we experimented with similar functions and tweaking variables until we achieved satisfactory results.

Challenges we ran into

Between the three of us, we spent a combined eight hours trying to get pycharm to work. This was our first time using Python. We tried to connect our software to a website and learned a lot throughout the process despite failing in that task.

Accomplishments that we're proud of

This was our first time together coming as a team and we had a lot of fun developing our first machine learning project together.

What we learned

We learned the basiscs of the Python programming language, git, and neural networks.

What's next for Image Confusion Solver

In the future, we plan to seek full legal recognition for our genius patent-pending computer vision technology. When our technology is fully patented, we will finally feel comfortable releasing our ground-breaking "pineapple/not pineapple" image detection technology.