
Create a mobile e-library app that tracks reading history and uses AI to recommend books based on user preferences and interests.
Design database for users, books, categories, and borrowing history.
Implement secure login and data encryption.
Develop modules for book search, borrowing, and reading progress.
Apply ML algorithms to suggest personalized book recommendations.
Build dashboards for reading analytics and popular books.
Conduct testing for AI prediction accuracy and system usability.
Implement notifications for new arrivals and due dates.
Ensure secure storage of user data.
Document system architecture, AI workflow, and user guide.