CineMatch: AI Strategy & Architectural Design

Technology Stack

Project Overview

CineMatch is a high-level software management initiative and architectural blueprint designed to solve the 'cold-start' problem in streaming. As a specialized coursework project, it focuses on the strategic integration of a hybrid recommendation engine—combining Collaborative Filtering (KNN, SVD) with Content-Based Filtering (TF-IDF)—to achieve a theoretical 85% accuracy. The project encompasses a full professional SDLC (Software Development Life Cycle) suite, including a 25-week execution roadmap, a detailed Work Breakdown Structure (WBS), and a RM 170,000 budget analysis. The proposed architecture features a high-performance FastAPI backend designed for sub-500ms response times and a secure administrative dashboard for analytics.