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:
- Predicts the total time required using OpenAI.
- Creates a customized Pomodoro schedule.
- 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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