• Developed a web scraping plugin using Requests and BeautifulSoup Python libraries for fashion data collection, and harnessed Playwright for dynamic web page handling. • Created a balanced eight-class DataSet with 30,000 samples per class, ensuring unbiased learning from multi-labeled images in source datasets. • Fine-tuned YOLOv8 for 100 epochs on the balanced DataSet, refining its ability to classify multi-labeled fashion elements. • Utilized FastAPI framework to create an efficient API that predicts classes and provides cropped clothing segments from input images.

• Developed intuitive interfaces and a user-friendly calendar within the Flutter Framework, enabling interpreters to efficiently manage their accounts.• Integrated APIs to establish communication with the server, performing data retrieval and updates related to reservations and personal information.