QCI & AI Model Application Reference Case – Intelligent Travel Recommendation

• QCI&AI-FML Learning Platform : https://kws.oaselab.org/qciai/ 

• Download Open CI File:  Travel Recommendation System 

• Download Inference Data :  Travel Recommendation System Inference Data  and  Inference Data formulas version 

• Download Inference Model  RuleData :  Travel Recommendation System Inference Model RuleData 

• QCI&AI-FML Learning Platform: https://kws.oaselab.org/qciai/ 

• Download Expert Data :  Travel Recommendation System Expert Data

• Download Training Data :  Travel Recommendation System Training Data and  Training Data formulas version 

• Download CI Inference Data:  Travel Recommendation System MQTT Data

Download Thonny 4.1.7: ( Windows ) ｜ ( Mac ) 

Download Open Learning Tool Python File: Python File

const.py  → Set Wifiname and password, choose MQTT Server's username, password, and topic name.

MQTT_TravelRecommendation.py →  Wait to receive data from the learning platform and make a response to the received data.