Advanced ToDo List App

The Advanced ToDo List App is a feature-rich task management application designed to enhance productivity and organization for users. It allows users to create and manage tasks efficiently while providing a seamless and collaborative experience.



  • Users can register and log in using Firebase Authentication or any other preferred authentication solution.
  • Each user will have their own private space, where they can only access their tasks.
  • Users can categorize tasks into different categories such as Personal, Work, Shopping, etc.
  • Tasks can be assigned to specific categories, making it easier to manage and prioritize.
  • Users can set reminders for their tasks, ensuring they don’t miss any deadlines or important events.
  • A notification system will remind users of upcoming tasks at the specified time.
  • Users can set priorities for their tasks, such as High, Medium, or Low.
  • The app provides offline support, allowing users to view and modify their tasks even without an internet connection.
  • Changes made offline will automatically sync with the server once the internet connection is restored.
  • The app offers a Dark Mode option, providing a visually pleasing experience for users who prefer dark themes. Map View Integration
  • A new screen displays a map view using the Google Maps API, showing all tasks with their respective locations as markers on the map.
  • Users can quickly see the geographical distribution of their tasks.
  • The task model includes a location field that stores the latitude and longitude of the task’s location.
  • Users can use this information to organize tasks based on geographical locations.


  • Clone the repository to your local machine.
  • Install all required dependencies by running flutter pub get.
  • Set up Firebase Authentication and Firestore for user authentication and data storage.
  • Obtain the Google Maps API key and replace it in the corresponding configuration file.
  • Start the app using flutter run.


We would like to thank the contributors and open-source community for their support and valuable contributions to this project.


This project is licensed under the MIT License.


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