Aurora

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  How the app looks (MVP)

Inspiration

Most productivity apps treat everyone like a machine, forcing deep work when you’re drained. We wanted to create an app that flows with your natural energy, calendar, and mood.

What it does

Aurora parses tasks in natural language or voice, assigns energy levels, sorts them into Ignite, Flow, and Unwind, syncs with your calendar, and rewards daily completion with streaks.

Challenges I ran into

• Parsing natural-language tasks accurately
• Integrating dynamic mood detection and adapting task priority
• Calendar-based scheduling with conflicting meetings
• Making AI decisions feel intuitive and human-centered

Accomplishments that I am proud of

• Streak-based gamification and live demo-ready scheduling
• Mood integration to adjust task flow dynamically
• Prompt engineering for the AI to actually categorize the tasks and breakdown complex tasks

What's next for Aurora

• Work on the UI/UX
• Phase III adaptive reshuffling (“I’m wiped” mode)
• Personalized energy learning from weekly patterns
• Flow Score visualization and AI-driven task suggestions
• Multi-device sync and full Google Calendar integration

Built With

• lovable