Movie Recommendation System | Motaung Mandla

Movietree – A Movie Recommendation Web App A lightweight, responsive movie recommendation web app that fetches data from The Movie Database (TMDb) API using JavaScript . The app is currently under development and aims to provide users with curated movie lists, search functionality, and personalized recommendations.

🧩 Features (So Far) ✅ Movie Search : Users can search for movies by title ✅ Dynamic Content : Loads movie posters and details directly from TMDb API ✅ Responsive UI : Clean layout designed for desktop and mobile views ✅ Modular JavaScript : Code structure allows easy expansion 🚧 In Progress : User ratings, filtering, and AI-based recommendations

🌐 How It Works When the app loads, it makes a request to the TMDb API It retrieves trending or popular movies based on genre, year, or user input Displays them in an interactive card layout Allows users to search and filter movies dynamically

const API_KEY = ‘YOUR_TMDB_API_KEY’; const API_URL = ‘https://api.themoviedb.org/3/search/movie?api_key= ‘ + API_KEY + ‘&query=’;

async function searchMovies() { const query = document.getElementById(‘search-bar’).value; const response = await fetch(API_URL + query); const data = await response.json(); displayMovies(data.results); }

function displayMovies(movies) { const container = document.getElementById(‘movie-container’); container.innerHTML = ‘’;

movies.forEach(movie => {
    const posterUrl = movie.poster_path 
        ? `https://image.tmdb.org/t/p/w500 ${movie.poster_path}` 
        : 'fallback-image.png';

    container.innerHTML += `
        <div class="movie-card">
            <img src="${posterUrl}" alt="${movie.title}">
            <h3>${movie.title}</h3>
            <p>Rating: ${movie.vote_average}</p>
            <p>Release: ${movie.release_date}</p>
        </div>
    `;
}); }

🛠️ Future Enhancements Add user authentication to save favorites Implement genre filters , release date sorting, and advanced search Integrate local storage to remember user preferences Build a recommendation engine using JS or Python backend Add Sesotho language support for local accessibility Deploy as PWA (Progressive Web App) for offline use

📷 Screenshot (You Can Insert Yours Here Later) Once you take a new screenshot of your interface, insert it here.

🙌 Contributing Feel free to fork this project and submit pull requests! If you’d like to add features like: