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Cover image for Momentum: Start with 5 Minutes- productivity app designed to help users overcome procrastination
Shruti Adhav
Shruti Adhav

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Momentum: Start with 5 Minutes- productivity app designed to help users overcome procrastination

This is a submission for the GitHub Copilot Challenge : New Beginnings

What I Built

Momentum is a productivity app designed to help users overcome procrastination by breaking down tasks into manageable 5-minute segments. By combining smart task suggestions, progress tracking, and gamification, Momentum makes productivity achievable and engaging.

Key Features

  • 5-Minute Focus Sessions: Small, manageable time blocks to kickstart productivity.
  • Smart Task Suggestions: Context-aware task recommendations based on user behavior and time of day.
  • Automatic Task Breakdown: Simplifies complex tasks into actionable steps.
  • Progress Tracking: Visual representation of accomplishments and streaks.
  • Gamification: Level-up system and streaks to maintain motivation.
  • Persistent Progress: Local data storage for seamless tracking across sessions.
  • Category Management: Organize tasks into predefined categories like work, personal, and fitness.

Impact:

  • Reduces overwhelm by breaking tasks into manageable chunks
  • Builds confidence through visible progress
  • Creates sustainable productivity habits
  • Maintains motivation through gamification

Demo

https://momentum-start-with-5-minutes.vercel.app/

Repo

https://github.com/adhavshruti12/Momentum-Start-with-5-Minutes.git

Copilot Experience

GitHub Copilot was instrumental in developing this project:

  1. Code Generation:

    • Component structure suggestions
    • Animation implementations
    • State management patterns
    • Utility functions
  2. Problem Solving:

    • Task breakdown algorithms
    • Storage management
    • Time-based suggestions
    • Progress calculations
  3. Best Practices:

    • Code organization
    • Performance optimizations
    • Error handling
    • Component composition

GitHub Models

The project leverages GitHub Models for:

  1. Task Analysis:

    • Pattern recognition in task descriptions
    • Breaking down complex tasks
    • Categorizing user inputs
  2. Suggestion Engine:

    • Context-aware task recommendations
    • Time-based task prioritization
    • User pattern recognition

Conclusion

Momentum demonstrates how small steps can lead to significant progress. The app's focus on 5-minute intervals, combined with smart suggestions and progress tracking, helps users overcome procrastination and build productive habits.

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