通过网页自动化自动向 TMDB 添加剧集信息和图片 - Automatically Add Episode Information and Images to TMDB via Web Automation
Python script to search multiple PTs and return content available
Requestarr-style Django Project to manage requests on a custom movies database (scraped from TMDB)
This project is a robust data scrapper that collects comprehensive information about movies from The Movie Database (TMDB) API. The dataset spans from the earliest recorded films (1874) up to recent releases (2024), providing a rich historical record of cinema evolution, production details, popularity metrics, and financial data.
This project predicts the opening week box office performance of Avatar: Fire and Ash (2025) by analyzing historical data from Box Office Mojo and TMDb. It utilizes a CatBoost Regressor optimized with Optuna, featuring custom "Star Power" metrics and automated data collection.
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