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How to Build an AI-Powered Intelligent Multitasking Advisor

Develop a sophisticated productivity application that uses artificial intelligence to assist users in managing multiple tasks and projects simultaneously. This Intelligent Multitasking Advisor offers personalized recommendations, intelligent task prioritization, and collaborative features to boost productivity and streamline workflow management.

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Simple Summary

The Intelligent Multitasking Advisor is a cutting-edge productivity application that leverages AI to help users manage multiple projects and tasks efficiently, providing smart recommendations for optimal workflow and time management.

Product Requirements Document (PRD)

Goals:

  • Create a user-friendly productivity application focused on intelligent multitasking
  • Implement AI-driven task management and prioritization
  • Enable seamless collaboration and project sharing
  • Provide insightful analytics and productivity metrics

Target Audience:

  • Professionals managing multiple projects
  • Teams seeking efficient collaboration tools
  • Individuals looking to optimize their productivity

Key Features:

  1. AI-powered task prioritization and scheduling
  2. Multi-project management dashboard
  3. Real-time collaboration tools
  4. Intelligent notifications and reminders
  5. Productivity analytics and reporting
  6. Integration with popular calendar and task management APIs
  7. Customizable workflow templates
  8. Export functionality for reports and task lists

User Requirements:

  • Intuitive and responsive user interface
  • Secure user authentication and data protection
  • Cross-platform accessibility (web and mobile)
  • Offline mode for essential features
  • Customizable settings for personalized experience

User Flows

  1. User Registration and Onboarding:

    • Sign up using email or OAuth
    • Complete profile setup
    • Tutorial on key features

  2. Project and Task Management:

    • Create new project
    • Add tasks and subtasks
    • Set priorities and deadlines
    • Receive AI-generated suggestions for task order

  3. Collaboration and Sharing:

    • Invite team members to projects
    • Assign tasks to collaborators
    • Real-time updates and comments
    • Share progress reports

Technical Specifications

Frontend:

  • React for building user interface
  • Redux for state management
  • Material-UI for consistent design components

Backend:

  • Node.js with Express.js for API server
  • PostgreSQL for relational database
  • Redis for caching and real-time features

APIs and Integrations:

  • Google Calendar API for calendar sync
  • Trello API for task management integration
  • SendGrid for email notifications

Authentication:

  • JWT for session management
  • OAuth 2.0 for third-party login options

AI and Machine Learning:

  • TensorFlow.js for client-side predictions
  • Python with scikit-learn for server-side analytics

DevOps:

  • Docker for containerization
  • Jenkins for CI/CD pipeline

API Endpoints

  • POST /api/auth/register
  • POST /api/auth/login
  • GET /api/projects
  • POST /api/projects
  • GET /api/projects/:id/tasks
  • POST /api/projects/:id/tasks
  • PUT /api/tasks/:id
  • GET /api/analytics
  • POST /api/collaborators
  • GET /api/notifications

Database Schema

Users:

  • id (PK)
  • email
  • password_hash
  • name
  • created_at

Projects:

  • id (PK)
  • name
  • description
  • owner_id (FK to Users)
  • created_at

Tasks:

  • id (PK)
  • project_id (FK to Projects)
  • title
  • description
  • status
  • priority
  • due_date
  • assigned_to (FK to Users)

Collaborators:

  • id (PK)
  • project_id (FK to Projects)
  • user_id (FK to Users)
  • role

Notifications:

  • id (PK)
  • user_id (FK to Users)
  • type
  • content
  • read_status
  • created_at

File Structure

/src /components /Dashboard /ProjectList /TaskManager /Collaboration /Analytics /pages Home.js Projects.js Tasks.js Reports.js Settings.js /api authApi.js projectApi.js taskApi.js collaborationApi.js /utils aiHelper.js dateUtils.js notificationManager.js /styles global.css theme.js /public /assets images/ icons/ /server /routes /controllers /models /middleware /tests README.md package.json .env .gitignore

Implementation Plan

  1. Project Setup (1 week)

    • Initialize React project
    • Set up Node.js backend
    • Configure database and ORM
    • Implement basic authentication

  2. Core Features Development (4 weeks)

    • Implement project and task CRUD operations
    • Develop AI-powered task prioritization algorithm
    • Create collaboration features
    • Build notification system

  3. UI/UX Implementation (2 weeks)

    • Design and implement responsive UI components
    • Create intuitive navigation and user flows
    • Implement accessibility features

  4. Integration and API Development (2 weeks)

    • Integrate with calendar and task management APIs
    • Develop and document RESTful API endpoints
    • Implement real-time updates using WebSockets

  5. Analytics and Reporting (2 weeks)

    • Develop productivity analytics algorithms
    • Create data visualization components
    • Implement export functionality

  6. Testing and Optimization (2 weeks)

    • Conduct unit and integration testing
    • Perform security audits
    • Optimize performance and load times

  7. Deployment and Launch Preparation (1 week)

    • Set up production environment
    • Configure CI/CD pipeline
    • Prepare user documentation and support materials

Deployment Strategy

  1. Use Docker to containerize the application for consistent environments
  2. Deploy backend to a scalable cloud platform (e.g., AWS Elastic Beanstalk)
  3. Use a managed database service (e.g., Amazon RDS for PostgreSQL)
  4. Set up a load balancer for high availability
  5. Implement CDN for static asset delivery
  6. Configure automated backups and disaster recovery
  7. Set up monitoring and logging (e.g., ELK stack)
  8. Implement blue-green deployment for zero-downtime updates
  9. Use feature flags for gradual rollout of new features

Design Rationale

  • Chose React for its component-based architecture and large ecosystem
  • Selected Node.js to maintain JavaScript across the stack, improving developer productivity
  • Opted for PostgreSQL due to its robustness in handling complex queries and relationships
  • Implemented AI features to provide unique value and differentiate from standard task managers
  • Prioritized real-time collaboration to cater to team-based workflows
  • Focused on responsive design to ensure seamless usage across devices
  • Emphasized security and data protection to build user trust
  • Designed for scalability to accommodate future growth and feature additions