AI-Driven Real-Time Dashboard

Building a Machine Learning Model to predict customer satisfaction levels of Restaurant Businesses using Yelp's open dataset. From Data to Real-Time Insights with Databricks, Spark, Scikit-learn, Confluent Cloud Kafka and Streamlit.

Here's a quick demo of the resulting dashboard. The "customer_satisfaction" column is generated with the Machine Learning Model I've developed, along with generated attribute columns such as "food", "service", "ambience" and "price". The dashboard is built with Streamlit and Plotly.

This project was built for restaurant businesses to leverage AI and Big Data Technologies to provide more data-driven recommendations to businesses to better understand what consumers are looking for. With the hypothesis that: Restaurants that possess certain attributes, such as high-quality food, excellent customer service, appealing ambiance, and price, are more likely to thrive as consumer favourites