Personalized Student AI Scheduling Assistant

Authors

  • V Abarna Associate professor, Dept. of AI&DS, SRM Valliammai Engineering College, Tamil Nadu, India Author
  • Aathavan. S K UG Scholar, Dept. of AI&DS, SRM Valliammai Engineering College, Tamil Nadu, India. Author
  • Dileep Adhithyan.K UG Scholar, Dept. of AI&DS, SRM Valliammai Engineering College, Tamil Nadu, India. Author
  • Dinesh Kumar.M UG Scholar, Dept. of AI&DS, SRM Valliammai Engineering College, Tamil Nadu, India. Author

DOI:

https://doi.org/10.47392/IRJAEM.2025.0146

Keywords:

Time Management, Reinforcement Learning, AI Scheduling Assistant

Abstract

The Personalized Student AI Scheduling Assistant is an intelligent system that aims to enhance students' academic and personal schedules through an AI-powered scheduling assistant. The project centers on creating dynamic schedules that optimize productivity and well-being, always adjusting to evolving user demands. The assistant includes calendar synchronization, offering a seamless and customized scheduling experience that promotes balance in daily life. It optimizes scheduling accuracy using reinforcement learning algorithms based on user feedback and behavior analysis. The efficient and scalable backend is facilitated by Flask and MySQL. The scheduling assistant is synchronized with APIs like Google Calendar and ChatGPT to simplify time management. It also incorporates an AI-based feedback system which dynamically reorders task priorities. The platform enjoys a secure and privacy-friendly setup, ensuring ethical data handling. Future features encompass collaboration scheduling, enhanced AI adaptability, and more wellness application integrations. The project aims to redefine student time management with intelligent automation towards reducing stress, a productive lifestyle, and wellness in life.

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Published

2025-03-28