Habit Hero AI

AI-powered productivity system that turns tasks and prompts into structured daily plans and automatically syncs with Google Calendar.

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Inspiration

What it does

How we built it

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for Habit Hero AI

Habit Hero AI was built from a simple idea: “What if productivity didn’t require constant planning — but instead, an AI that thinks, organizes, and executes alongside you?”

I wanted to move beyond traditional to-do list apps and create something closer to a real AI productivity agent — one that doesn’t just store tasks, but actively transforms ideas into structured execution plans and integrates directly into real-world tools like Google Calendar.

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💡 Inspiration

The inspiration came from my own struggle with:

  • Planning long study or coding sessions
  • Staying consistent with habits
  • Breaking large goals into manageable daily steps

Most productivity apps stop at task tracking. I wanted something that could:

  • Understand a goal written in natural language
  • Break it into structured daily actions
  • And push those actions into real systems like calendars

That’s where the idea of Habit Hero AI was born.

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🧠 What I Learned

This project taught me a lot about building real-world AI systems beyond just calling a model:

  • How AI output must be structured using prompt engineering
  • How to convert unstructured text into actionable workflows
  • How OAuth 2.0 works with Google APIs
  • How frontend, backend, and external services must work together
  • The importance of system design over isolated features

Most importantly, I learned how to think in terms of complete systems instead of individual features.

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⚙️ How I Built It

Frontend

  • React.js
  • React Markdown for AI output rendering
  • LocalStorage for habit persistence
  • Axios for API communication

Backend

  • Node.js (Express)
  • Session-based authentication
  • Google Calendar API integration
  • OAuth 2.0 authentication flow

🤖 AI System

The AI generates structured plans like: Day 1 Learn basics Build setup

Day 2 Implement backend Connect APIsThis output is parsed and converted into actionable tasks automatically.

📅 Google Calendar Integration

Using Google OAuth 2.0, the app connects to a user’s Google account and automatically creates calendar events when tasks are added.

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⚡ Challenges Faced

🔐 Google OAuth Complexity

Handling OAuth errors like invalid_grant, redirect mismatches, and token issues required careful debugging.

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🔄 Session Management

Maintaining Google access tokens across requests and sessions was challenging and required proper state handling.

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🧩 AI Output Structuring

AI responses are unstructured by nature, so I had to carefully engineer prompts to ensure reliable parsing into days and tasks.

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⚙️ Full-Stack Sync

Keeping frontend state, backend APIs, and Google Calendar in sync required careful coordination and debugging.

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🏁 Final Outcome

The final system is a working AI productivity agent that:

  • Generates structured multi-day plans
  • Converts plans into actionable tasks
  • Tracks habits with XP and gamification
  • Syncs tasks with Google Calendar
  • Helps users stay consistent and productive
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