Pelicu is a full-stack web application for discovering and streaming movies and TV series, equipped with an AI-based Recommendation System. While the user interface and core features are still in development, the recommendation engine is fully functional and serves as the heart of this project.
- 🧠 AI Recommendation System (Content-Based Filtering)
- 🖥️ Backend: Django (Python)
- 🗄️ Database:
SQLite3(to be migrated to MySQL) - 🌐 Frontend:
HTML/CSS, future support forAJAX - 🎯 Fully responsive design (UI in Persian)
- 🔐 User authentication & profile section
Pelicu's recommendation engine is based on Content-Based Filtering, which suggests movies and TV series by analyzing content attributes such as:
- Genre
- Description
- Cast
- Keywords
The system creates a feature vector for each item and uses cosine similarity to compute the closeness between items. When a user interacts with a movie (views or likes), the system recommends other content with similar characteristics — without needing data from other users, making it ideal for new users (cold start).
Here’s a sneak peek at the current design of the website (still in development):
- Replace SQLite with MySQL
- AJAX-based dynamic interactions
- Advanced filtering and personalized recommendation improvements
- Better mobile experience and performance optimization
This project is built and maintained by a developer with a strong background in Python, Django, and AI systems. Frontend development is minimal by design to focus on backend and AI logic.
ℹ️ Note: This platform is designed for Persian-speaking users and features a Farsi (RTL) user interface.