This repository contains the source code for a sneaker detection project, completed as part of ITCS498 Special Topics in Computer Science. The project is divided into two main parts: a front-end built using React, and a back-end built using Fast API (Python).

1. Navigate to the front-end folder:

cd ./front-end/my-react-app/

2. Run the front-end application:

npm start

3. The server will start at http://localhost:3000

1. Prepare the model weights.
2. Create a folder named "weight".
3. Download the model weights from URL 4.Place the downloaded weights in the "weight" folder.
4. Navigate to the service_api folder:

cd ./service_api

6. Run the command to start the back-end server:

uvicorn app:app

Now, you can use the sneaker detection application through the front-end interface while the back-end server processes the data.