PATHOS AI: Personalized Academic Advising Tool

Description:

PATHOS AI integrates proprietary university data sources into a secure, conversational interface to deliver tailored academic guidance. It features smart pathway generation, multi-source data integration, and a hybrid human-AI workflow to improve the quality and effectiveness of academic advising. Currently in early development, plans aim for prototype implementation and testing by Summer 2025.

Key Advantages:

• Integration of real-time, multimodal academic data for personalized guidance.
• Secure and privacy-conscious deployment respecting student data.
• Hybrid workflow combining AI insights with human advisor expertise.
• Natural-language conversational interface for intuitive user interaction.
• Improved student retention and advising efficiency through data-driven insights.

Problems Solved:

• Inefficiencies and inconsistencies in current academic advising processes.
• Lack of personalized, data-driven academic guidance for students.
• Limited integration and utilization of diverse university data sources.
• Privacy concerns around student data in advising solutions.
• Challenges in balancing human advisor workload and quality of guidance.

Market Applications:

• University academic advising departments seeking enhanced advising tools.
• EdTech companies developing AI-driven student support platforms.
• University IT departments aiming to integrate advanced analytics and AI in education.
• Educational institutions focused on improving student retention and success rates.
• Hybrid human-AI collaboration solutions for academic planning and decision support.