| KEYWORD |
Machine Learning Techniques for the Analysis and Prediction of Visitors Flows (𝓐𝓡𝓣ificial Intelligence)
keywords ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, PREDICTION METHODS
Reference persons SANDRO CUMANI, GIOVANNI SQUILLERO
Research Groups DAUIN - GR-05 - ELECTRONIC CAD & RELIABILITY GROUP - CAD
Thesis type RESEARCH, INNOVATIVE
Description Analysis of the visitors flow in the main Museums of Torino, with the goal to build a predictive model and anomaly detector.
Notes The project will be deployed in Python 3 on a Linux machine.
Deadline 31/08/2021
PROPONI LA TUA CANDIDATURA