Better UT Course Planner

Better UT Course Planner


Better UT Course Planner is an intelligent course registration tool that leverages machine learning to provide personalized schedule recommendations based on students’ degree progress and real-time course availability. Currently, the planner integrates data retrieval from the user’s IDA and UT’s registration system, ensuring no scheduling conflicts while prioritizing degree requirements and individual preferences. With a prototype interface in place, the project is developing advanced ML algorithms for recommendation optimization and has initiated user testing to refine the tool’s usability.

Explore Our Project

Check out our demo, GitHub repository, and official website to learn more about the Better UT Course Planner:

Team Members

Project Manager: John Doe Lead Developer: Jane Smith UI/UX Designer: Emily Johnson Data Scientist: Michael Brown QA Tester: Sarah Davis

Our Technology Stack

Python Icon

Python

Core language for data processing and ML algorithms.

Machine Learning Icon

Machine Learning

Scikit-Learn used for recommendation algorithms.

AWS Icon

AWS

Cloud infrastructure for scalability and deployment.

HTML Icon

HTML/CSS

Fundamental technologies for web structure and styling.

JavaScript Icon

JavaScript

For frontend interaction and seamless UI experience.

React Icon

React.js

Framework for building the user interface.

Bootstrap Icon

Bootstrap

Ensures a responsive, mobile-friendly layout.

Kaggle Icon

Kaggle

Platform for data science competitions and datasets.

Docker Icon

Docker

Containerization platform for consistent environments.

Google Cloud Icon

Google Cloud

Cloud platform offering various services and infrastructure.

ChatGPT API Icon

OpenAI ChatGPT

API for integrating ChatGPT functionalities.

WordPress

WordPress

A user-friendly interface and a wide range of themes and plugins to customize functionality.

Google Colab Icon

Google Colab

Cloud-based Jupyter notebook environment for Python.