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ROADMAP.md

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ROADMAP

This document outlines the future development plans for the TeacherStudentParentAdminAi system.

Phase 1: Core Features

  • User roles for teachers, students, parents, administrators, and an AI module.
  • Real-time chat.
  • Auto-grading of assignments.
  • Quizzes and tests.
  • AI integration for lesson planning, personalized learning, and assessment feedback.

Phase 2: System Architecture

  • Backend built with Python/Flask for server-side logic, SQLAlchemy for database management, and a RESTful API for frontend communication.
  • Frontend using React/TypeScript for a dynamic and responsive user interface, Redux for state management, and Axios for handling API requests.
  • AI module using Hugging Face Transformers for natural language processing and integrated with the backend services.

Phase 3: Deployment

  • Application packaged using Docker.
  • Deployment using Kubernetes for scalable and efficient deployment.

Phase 4: Testing

  • Backend and frontend components thoroughly tested with unit and integration tests.

Phase 5: Documentation

  • README providing an overview, setup instructions, and usage guidelines.
  • Detailed project documentation in Documentation.md.
  • JWT for secure user authentication.
  • HTTPS for secure data transmission.
  • Advanced AI features for predictive analytics.
  • Development of mobile applications for Android and iOS.
  • Project delivery within specified timelines.
  • Consideration of hardware and infrastructure constraints.

Conclusion

The TeacherStudentParentAdminAi system is a comprehensive, user-friendly, and intelligent solution that aims to revolutionize educational platforms. The roadmap outlined above provides a clear path for future enhancements and improvements. With the completion of all the planned phases, we have achieved a significant milestone in our journey. We look forward to continuing to enhance the overall learning experience for all stakeholders.