Movie Recommendation System Requirements Document

Introduction

The Movie Recommendation project is designed to provide personalized movie suggestions to users based on their preferences and viewing history. This document outlines the system requirements for developing a movie recommendation application tailored for personal use.

System Overview

The Movie Recommendation application will leverage user data and preferences to suggest movies that align with individual tastes. The system will utilize a recommendation algorithm to analyze user behavior and provide relevant movie suggestions.

Functional Requirements as Story Points

• As a User, I should be able to input my movie preferences to receive personalized recommendations.
• As a User, I should be able to view a list of recommended movies based on my viewing history.
• As a User, I should be able to rate movies to improve future recommendations.
• As a User, I should be able to search for specific movies within the application.
• As a User, I should be able to view detailed information about each recommended movie.

User Personas

• User: The primary persona who will interact with the application to receive movie recommendations based on personal preferences and viewing history.

Core User Flows

• User inputs movie preferences -> System processes preferences -> User receives personalized movie recommendations.
• User rates a movie -> System updates recommendation algorithm -> User receives improved recommendations.
• User searches for a movie -> System displays search results -> User views movie details.

Visuals Colors and Theme

• primary: #2C3E50 (Deep Blue)
• primary_light: #34495E (Light Blue)
• secondary: #E74C3C (Crimson)
• accent: #F39C12 (Vibrant Orange)
• highlight: #F1C40F (Gold)
• bg: #ECF0F1 (Light Gray)
• surface: rgba(236, 240, 241, 0.8)
• text: #2C3E50 (Dark Blue)
• text_muted: #95A5A6 (Muted Gray)
• border: rgba(44, 62, 80, 0.2)

Signature Design Concept

The homepage will feature an interactive "Movie Carousel" where users can swipe through movie posters. Each poster flips to reveal detailed information about the movie, including ratings and reviews. The carousel will be animated using motion/react for smooth transitions, creating an engaging and dynamic user experience. The background will subtly change colors based on the genre of the highlighted movie, providing a thematic atmosphere.

Landing Hero Motion Brief

The landing hero will feature a continuously moving 2D composition where movie posters float into view, gather around a central spotlight, and transform into a detailed movie card with information and ratings. This loop will last 10 seconds, using motion/react for animations. The composition will have a clear foreground and background, with the central spotlight as the focal point. The animation will pause attractively when not in motion, ensuring readability of text and CTAs.

Interaction Model & Motion Direction

• Intended Interaction Model: Animated
  • The landing page will feature moderate scroll-triggered reveals and hover transitions, enhancing the user experience with polished animations.

Non-Functional Requirements

• The system should provide recommendations with minimal latency.
• The application should be accessible on various devices, including desktops and mobile phones.
• The user interface should be intuitive and easy to navigate.

Tech Stack

• Frontend: React for Web
• Backend: Python with FastAPI
• Database: MySQL for storing user data and movie information
• AI Models: GPT 5.4 for generating user-friendly responses

Assumptions and Constraints

• The application is intended for personal use and will not require extensive scalability.
• The recommendation algorithm will be based on existing user data and preferences.
• The system will not include payment processing or user authentication modules.

Glossary

• Recommendation Algorithm: A system that analyzes user data to suggest movies.
• User Preferences: Information provided by the user regarding movie genres, actors, and other interests.
• Movie Carousel: An interactive feature displaying a series of movie posters for user selection.

This document outlines the requirements for the Movie Recommendation application, ensuring a personalized and engaging user experience.