CineIQ
🎬 CineIQ — AI-Powered Movie Recommendation System
CineIQ is an AI-driven movie recommendation system developed by Team Synapse.
It uses TF-IDF vectorization and cosine similarity to recommend movies based on metadata such as titles, descriptions, cast, directors, genres, and keywords.
The system features filter options and a futuristic UI built with Streamlit.
🚀 Features
- Content-based AI recommendations
- Genre, cast, and director filters
- Poster thumbnails like Netflix
- Two modes: By Movie Title
- Futuristic blurred neon UI
- Modular architecture (model builder + Streamlit app)
⚙️ Setup
git clone https://github.com/amzayedabdullah/AI_Lab_UIU.git
cd AI_Lab_UIU
pip install -r requirements.txt
python model_builder.py --csv movies.csv --out artifacts
streamlit run app.py
Then open → http://localhost:8501
👥 Team Synapse
| Name | |——| | A. M. Zayed Abdullah | Samira | Ihsan Rafel Ahmed —
🎓 Faculty
Shekh. Md. Saifur Rahman (SMSR)
Lecturer, Dept. of CSE
United International University (UIU)
🌐 Repository
https://github.com/amzayedabdullah/AI_Lab_UIU
“CineIQ — Let AI know what you love to watch.”
Developed by Team Synapse, UIU (2025)
