Streamlit Application

Assignment Summary

This assignment involved the development of a streamlit app using components from previous assignments. The deployed app utilized a pickled Random Forest model to predict purchase intentions based on user input. The apps code was developed and managed using Github, and then integrated with streamlit to allow for deployment. 

The application's features an interactive interface where users select their customer type (Regular or Need-based) and rate various experience factors on a scale of 1-5. Upon clicking "Predict Purchase Intention", the app provides the user with the models prediction based on their inputs and also the the accuracy score of the model. A feedback mechanism allows for the user to provide feedback based on their results or their overall thoughts of the app. 

Key features of the application:

• Integrated interface allowing for user interaction

• Customizable inputs based on user selection

• Accuracy score display for transparency

• Help icons for further explanations

• Feedback mechanism to allow for user feedback

Please see the following links for the Github repository and the Streamlit application: 

Github Repository

Streamlit Application