UFree?
Description as a Tweet:
When you need a seat at the dining hall #freeSpot #lifeSaver #UFree
Inspiration:
There are days when it’s a struggle to find an empty spot at the dining hall, especially during rush hours. We believe people can relate to this and have experienced it at least once here at UMass. We created this project to help make it easier to find seats.
What it does:
Our project uses computer vision whether or not there is an empty seat at a table.
How we built it:
We used Python along with the AWS rekognition program.
Technologies we used:
- Python
- AI/Machine Learning
Challenges we ran into:
We faced challenges in connecting AWS rekognition to the coding application we used. During the testing process, we had difficulty having the program recognize specific objects.
Accomplishments we're proud of:
We made progress in the recognition aspect and were able to debug some of the errors we faced.
What we've learned:
We learned how to use AWS, debugging, and the essentials of machine learning such as training, testing, classifiers, linear regression, decision trees, and binary trees.
What's next:
We will work on refining the program and making it more accurate by having it detect other objects at the table, such as UCards and backpacks (since many students leave their belongings at the table in order to reserve seats). We hope for it to be applied to the dining halls here.
Built with:
We used PyCharm and AWS.
Prizes we're going for:
- Best Software Hack
- Best AI/ML Hack
- Best Use of AWS
- Best Venture Pitch
- Best Beginner Software Hack
Team Members
Rishik Janaswamy
Ji Cao
Rachel Weng
Julia Epshtein