CAVE Queue System

As the creator of the CAVE Queue System, a dynamic queue management solution for our tutoring facility, I oversaw a complex integration of Python, HTML, CSS, and Flask that was meticulously designed to streamline student support processes. Using a variety of Google APIs and services, particularly Google Sheets and Forms, I created a robust real-time queue system that transforms how students seek and receive assistance at the CAVE.

The core of the system lies in its seamless connectivity with a Google Form, where students can swiftly log their requests for tutoring help. This integration ensures that every student request is efficiently captured and queued up in real-time, minimizing wait times and maximizing the efficacy of our tutoring services.

Moreover, the utilization of Google Sheets as a central repository for queue data offers invaluable insights and functionalities. By automatically updating the Sheets with student requests and tutor assignments in real-time, the system provides tutors with a comprehensive overview of student needs and workload distribution. This not only facilitates efficient management of tutoring sessions but also enables tutors to track their interactions with students over time, facilitating personalized support and fostering student success.

Additionally, the power of Google Sheets extends beyond mere data storage—it serves as a dynamic analytics tool, allowing us to derive actionable insights from the collected data. By analyzing trends such as the frequency of student requests across different courses, the distribution of tutoring sessions among tutors, and the efficacy of tutoring interventions, we can make data-driven decisions to optimize resource allocation, identify areas for improvement, and enhance the overall effectiveness at the CAVE.

Check it out at:

GitHub