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TaskFlow – Intelligent Task Manager

Project Summary:

TaskFlow is a modern, AI-powered task management app that goes beyond basic to-do lists. It learns from user behavior to intelligently prioritize tasks, suggest optimal scheduling through time-blocking, and provides daily productivity insights. It’s built for professionals, students, and teams who want a smarter way to get work done.


 Core Objectives:

  • Help users manage tasks more efficiently through intelligent suggestions.

  • Learn from daily routines to automate prioritization and planning.

  • Promote deep work using techniques like time blocking, Pomodoro, and focus scoring.


 Key Features:

1. Smart Task Inbox

  • Capture ideas, tasks, voice notes, and emails in one place.

  • Automatic categorization (work, personal, urgent, recurring).

2. AI-Based Prioritization

  • Machine learning model ranks tasks based on:

    • Deadline urgency

    • Task complexity (via NLP)

    • User's historical behavior

    • Work hours and energy levels

3. Time Blocking Calendar

  • Suggests the best time to complete tasks using:

    • Free time slots

    • Focus hours

    • Context switching avoidance

  • Drag-and-drop UI for rearranging task blocks.

4. Focus Mode

  • Pomodoro timer with do-not-disturb syncing

  • Task-specific focus tracking (e.g., “Coding” vs “Reading”)

  • Tracks deep vs shallow work time

5. Daily/Weekly Planner

  • Personalized daily agenda based on AI recommendations

  • End-of-day review and habit score

  • Auto-adjusts tomorrow’s plan based on task completion

6. Collaboration Features (Optional for Teams)

  • Shared task boards

  • Team-level goals and timelines

  • Workload balancing suggestions for team leads


 Architecture Overview:

Frontend:

  • Web App: React + TypeScript

  • Mobile App: React Native or Flutter (optional)

  • UI Libraries: TailwindCSS, Material UI

Backend:

  • Django REST Framework or Node.js + Express

  • PostgreSQL for structured data (tasks, calendar events)

  • Redis for real-time notifications, reminders

AI/ML Component:

  • Python ML microservice using:

    • Scikit-learn for decision trees or logistic regression

    • SpaCy or Transformers (BERT) for natural language processing of task descriptions

    • Personalization logic based on user behavior data

Calendar & Integration APIs:

  • Google Calendar / Outlook Calendar sync

  • Slack integration for reminders and task creation

  • Email parser (for Gmail, Outlook)


 

 
 

This Course Fee:

₹ 1799 /-

Project includes:
  • Customization Icon Customization Fully
  • Security Icon Security High
  • Speed Icon Performance Fast
  • Updates Icon Future Updates Free
  • Users Icon Total Buyers 500+
  • Support Icon Support Lifetime
Secure Payment:
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