This is a tracker for tv-shows and movies (maybe)
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Updated
Jun 18, 2025 - Rust
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This is a tracker for tv-shows and movies (maybe)
A lightweight full-stack movie browsing web app built with modern tools like React, FastAPI, and TailwindCSS — complete with user favorites and local login functionality.
Created a simple database to store watched movies and series
🎬 web2 es más que un simple catálogo de películas y series. Es una plataforma diseñada meticulosamente para ofrecer a los usuarios una experiencia completa de exploración de contenido audiovisual.
AI Recommender System - Recommends you similar movies based on Directors, Tags, Name, Type, Actors, Genre etc
Movie Reviews Sentiment Analysis project
React/Vite website to search for movies and see recent movie ratings with the use of TMDB API and TailwindCSS.
Site que indica filmes com base em suas escolhas
A full-stack web application for discovering, rating, and managing your favorite movies and series.
Search for movie and series
A Python-based movie data analyzer that explores the top 10 most popular movies from an IMDb dataset. It provides various visualizations, including correlations between budget and revenue, genre distributions, and more, with detailed statistics to gain insights into movie trends.
HarvardX Data Science Professional Certificate - Machine Learning Project
SilverScreenAnalytics is a data analysis project that explores a movie dataset to uncover patterns and trends in the film industry. It analyzes variables such as budget, revenue, popularity, and vote averages, with insights on the most expensive and profitable movies, genre distribution, and relationships between key factors.
Movie Flix is a full-stack movie listing and discovery platform designed to provide users with a seamless experience to explore, search, and manage movies. Built with the MERN (MongoDB, Express, React, Node.js) stack, the application features user authentication, secure movie posting, and a dynamic frontend UI for engaging user interaction.
This project implements a content-based filtering model for recommending movies. The model uses various features extracted from a dataset of the top 1000 movies from IMDb to compute similarities and recommend similar movies.
Trabalho de Desenvolvimento que originalmente se chamava Cardápil de filmes. (SIM, CARDÁPIL). Espero que você goste :)
Análisis visual y estadístico de un ranking de películas utilizando pandas y matplotlib en Python.
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