🎬 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.

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🚀 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)

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⚙️ 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

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👥 Team Synapse

Name
A. M. Zayed Abdullah
Samira
Ihsan Rafel Ahmed

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🎓 Faculty

Shekh. Md. Saifur Rahman (SMSR)
Lecturer, Dept. of CSE
United International University (UIU)

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🌐 Repository

https://github.com/amzayedabdullah/AI_Lab_UIU

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“CineIQ — Let AI know what you love to watch.”
Developed by Team Synapse, UIU (2025)

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