Location

Comstock Memorial Union, MSUM

Document Type

Poster

Event Website

https://www.mnstate.edu/sac/

Start Date

15-4-2025 12:00 AM

End Date

15-4-2025 12:00 AM

Publication Date

4-15-2025

Description

This project addresses the challenge of inefficient study planning among university students by developing StudyFlow, an AI-driven web application that optimizes task prioritization and personalized scheduling. Students often struggle to balance deadlines, course difficulty, and study goals, leading to stress and reduced academic performance. StudyFlow integrates a custom algorithm to prioritize tasks based on urgency and complexity, alongside OpenAI’s GPT-3.5 Turbo for generating actionable study recommendations. Built with React.js for the frontend and Flask for the backend, the tool also features note search functionality and calendar synchronization. Preliminary testing demonstrates a 30% reduction in missed deadlines and improved task adherence. By automating time management and leveraging AI, StudyFlow offers a scalable solution to enhance student productivity and academic success, with potential applications in educational institutions and e-learning platforms.

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Apr 15th, 12:00 AM Apr 15th, 12:00 AM

StudyFlow: Enhancing Academic Productivity Through AI-Driven Task Prioritization and Personalized Scheduling

Comstock Memorial Union, MSUM

This project addresses the challenge of inefficient study planning among university students by developing StudyFlow, an AI-driven web application that optimizes task prioritization and personalized scheduling. Students often struggle to balance deadlines, course difficulty, and study goals, leading to stress and reduced academic performance. StudyFlow integrates a custom algorithm to prioritize tasks based on urgency and complexity, alongside OpenAI’s GPT-3.5 Turbo for generating actionable study recommendations. Built with React.js for the frontend and Flask for the backend, the tool also features note search functionality and calendar synchronization. Preliminary testing demonstrates a 30% reduction in missed deadlines and improved task adherence. By automating time management and leveraging AI, StudyFlow offers a scalable solution to enhance student productivity and academic success, with potential applications in educational institutions and e-learning platforms.

https://red.mnstate.edu/sac/2025/cbac/11