Inspiration

The inspiration behind SmartPom came from the need to improve productivity using a structured focus technique. Many existing Pomodoro timers lack flexibility, so we wanted to build a smart version that dynamically adapts work and break times based on task difficulty.

What it does

SmartPom is an AI-powered Pomodoro timer that intelligently divides work sessions and break times based on the estimated task duration. Users simply input a task, and our system:

  1. Predicts the total time required using OpenAI.
  2. Creates a customized Pomodoro schedule.
  3. Guides users through work and break cycles for maximum efficiency.

How we built it

  • Frontend: React.js for an interactive UI with pixel-art inspired styling.
  • Backend: Express.js + OpenAI API for intelligent task estimation.
  • State Management: React hooks to handle timer states and phase transitions.
  • Design: Styled using CSS with a retro-inspired pixel aesthetic.

Challenges we ran into

  • OpenAI initially returned unrealistic task durations, requiring prompt engineering.
  • Handling smooth transitions between work and break phases.

Accomplishments that we're proud of

  • Successfully implemented an AI-driven Pomodoro timer.
  • Created a custom work-break schedule that adapts per task.
  • Designed a pixel-art themed UI for a visually engaging experience.

What we learned

  • How to integrate OpenAI API for real-world applications.
  • Optimizing React state management for a better user experience.
  • The importance of user-friendly UX in productivity tools

What's next for SmartPom

  • Task tracking and analytics to visualize productivity trends.
  • More themes & customizations for a personalized experience.
  • Better AI estimations using historical data and user feedback.
  • Deploying SmartPom as a public web app!
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