Scotty's Smart Mart

Inspiration

Making sure that students can safely check out snacks/items without interacting with other people, increasing safety for students.

What it does

Takes in a picture with objects and interprets those objects into a list that is accessible. Allows students to check out food with just a picture.

How we built it

We used next.js for the frontend work and python for the backend functions. We connected the backend to FastAPI and linked the data given from the API to the frontend. We used AWS Rekognition as our computer vision software to asses the images

Challenges we ran into

Sending an input image from the frontend to the backend was difficult. We've never sent images to backend before, only strings/lists. Sending the image data to the FastAPI in the backend. It was our first time working with computer vision which was a challenge as well Also with us being new to hackathons figuring out how everything works was quite challenging.

Accomplishments that we're proud of

Learning next.js for the first time and creating a project that is very relevant to college students' every day lives. We are proud of our project and believe it can create a big impact on safety.

What we learned

Furthered our knowledge for CSS work (tailwind) and frontend component work. Learned backend functionalities for inputting an image into an API. We got to work with computer vision, something we had an interest in beforehand.

What's next for Scotty's Smart Mart

Deploying website so it can go live. Getting our website out there to the college community, impacting the lives of many. Create a collaborative/close knit community using our website and hoping to inspire others to prioritize safety of yourself and others.