A real-time emotion recognition system for smart museum environments. This project uses computer vision and machine learning to analyze visitor facial emotions from live video streams, providing insights to enhance visitor experience, analyze engagement with exhibits, and optimize museum layouts.

opencv deep-learning tensorflow keras cnn convolutional-neural-networks emotion-recognition facial-expression-analysis visitor-behavior

• Updated Jul 2, 2025
• Python

🧠 Case study on data preprocessing and behavioral analysis of TechnoMagicLand visitors. Includes clustering, correlation, and visualization in R, with focus on identifying repeat visitors and improving engagement strategies.

r big-data clustering exploratory-data-analysis data-visualization data-analysis kmeans data-preprocessing user-segmentation education-project crisp-dm visitor-behavior technomagicland

• Updated May 29, 2025
• R