This is an intuitive application designed to help Stanford students monitor their meal plan usage with ease. This tool provides a secure and user-friendly platform for students to track their meal swipes and Cardinal Dollar transactions, ensuring greater transparency and security against potential card theft or fraud.
In recent times, there has been a noticeable increase in incidents involving card theft and fraud at Stanford. With student ID numbers and other sensitive information at risk, it's become essential to have a reliable way to monitor account activity. This application serves as a proactive measure, allowing Stanford students to quickly identify any unusual or suspicious transactions on their meal plans.
- Streamlit: For creating a seamless and interactive web app interface.
- Scikit-learn: Employed for any data analysis or machine learning tasks.
- Pandas: Utilized for efficient data aggregation and manipulation.
- Matplotlib: Integrated for general data visualization.
- Altair: Specifically used for crafting sophisticated time-series charts.
This project is licensed under the MIT License.