Introduction

This project aims to create a rule-based wizard for Data Science Academic Program Advisors, guiding students through common inquiries in six categories. The wizard provides tailored responses, links, and forms, with an option to schedule meetings if needed, enhancing communication efficiency and reducing repetitive queries.

Method and Technology Used

This project is built on PHP Laravel, chosen for its flexibility and robust framework for guiding users through a rule-based decision tree. The wizard will categorize student inquiries into topics like Study Plan, Rule Waiver, Reduced Study Load, and more, providing tailored responses or scheduling options if needed. Front-end interaction and design will use HTML, CSS, and JavaScript, while MySQL will handle database management. This technology stack efficiently supports the project’s goal of reducing repetitive queries and enabling easy modifications as new needs arise, reflecting similar methods from your prior project experience with Laravel and data scraping.

Results

The project was successfully completed, meeting all client requirements and delivering a functional rule-based wizard that streamlined student inquiries.

Conclusion

As a whole, this project enhanced our coding skills, particularly in data scraping and database management, and demonstrated the efficiency gains of automated inquiry handling. The rule-based wizard streamlined communication, reduced repetitive queries, and supported better time management, showcasing the real-world benefits of structured and automated solutions in academic settings.