24015 AI Reporting for School Transportation Operation

Project Description:

This project aims to leverage artificial intelligence technologies to automate, enhance, and generate detailed reports that analyze and present school transportation data in various formats. By utilizing AI-driven reporting, the process of collecting, interpreting, and visualizing this data will be significantly streamlined, enabling school districts to gain critical insights more quickly and efficiently.

The project will utilize natural language processing (NLP) to generate reports based on user input, offering flexibility in report creation. These reports will be available in a range of formats, such as CSV, Excel, text, Word, and PDF. Additionally, the integration of visual aids like pie charts, bar charts, and other graphical representations will further enhance the clarity and accessibility of the data, making it easier for stakeholders to interpret and act on the insights provided. By automating these processes, the project seeks to improve data accessibility, reduce manual effort, and provide actionable insights to support decision-making in school transportation management and communication.

Tasks and Responsibilities:

  • Develop workflows-based data integration solutions that provide standardized data integration and efficient and timely data updates.
  • Evaluate NLP models and select the best model to build an AI-powered user query and reporting system aimed at serving a diverse user base, including school management, routing administrators, and student parents. 
  • Design and build a comprehensive dashboard including charts, tables, figures, maps and text for effective communication.
  • Design a secure database management system that protects student privacy and system security.

Minimum qualifications:
Master or Ph.D. students (or equivalent experience) in Geographic Information Science, Data Science, Computer Science, or related field.

Term of the Project: 1 year

Co-Mentors:

  • Xiao Huang, Emory University
  • Nan Ding, Chief Product Officer, EZRouting