NBAsalary is a full-stack project designed to scrape salary statistics and photos for over 500 players, then dynamically manipulate and present team salary cap data in a graphical way.

• Data Scraping: Built a Python + Beautiful Soup scraper and uploaded 500+ player salary/image records directly to Postgres with psycopg2.

• Backend: Built Spring Boot REST APIs with Spring Data JPA for paging, sorting, and dynamic filtering across rosters and stats.

• Database: Managed real-time salary data manipulation with SQL on Postgres hosted through Supabase.

• Frontend: Built a React + Tailwind interface for salary-cap visualizations, deployed on Vercel with environment variables and backend CORS configuration.