Nara - A Bright Start to Your Day🦌

Introduction

Nara is a Chrome extension designed to provide users with a refreshing and joyful start to their day. In a world where productivity tools often add to the stress, Nara focuses on mental relief and simple, feel-good activities. It aims to combat the habit of "bed rotting" and offers a gentle, uplifting experience every time you open a new tab. 🌿

Why Nara? πŸ€”

  • Mental Relief: Around 20% of adults struggle with mental health issues, often exacerbated by the pressure to be constantly productive. Many doom scroll in bed because they feel overwhelmed with starting the day. Nara offers a break from this cycle. πŸ§˜β€β™€οΈ
  • Spark Joy: Instead of overwhelming to-do lists, Nara encourages small, joyful tasks that make you feel good. 🌸
  • Simple and Beautiful: With a clean and aesthetically pleasing interface, Nara makes your daily routine a little brighter. πŸŽ‹

Core Features ✨

  • Beautiful Landing Page: Featuring six focus categories such as self-care, home, pets, and more. 🏞
  • 5-Task To-Do List: Tailored to the chosen category, with simple and achievable tasks like:
    • Myself: "Drink water," "Take a walk." πŸšΆβ€β™‚οΈ
    • Home: "Clean a room," "Sort laundry." 🧺
  • User Reward System: Celebrate your small wins with rewards upon task completion. πŸŽ‰

Technologies Used πŸ’»

  • HTML, CSS, JavaScript: For building a responsive and interactive user interface. πŸ› οΈ
  • Chrome Extension API: To seamlessly integrate Nara into your browser experience. 🌐

How It Works πŸ”„

  1. Select a Category: Upon opening a new tab, you are prompted to choose a focus category. πŸ“‚
  2. Generate Tasks: Nara creates a list of five simple to-do items based on your selection. πŸ“
  3. Interactive Tasks: Tasks are displayed dynamically, allowing you to delete, toggle, or reorder them as needed. ⌨️
  4. Earn Rewards: Complete tasks and receive rewards, making your day a little more satisfying. πŸ’‘

Every day is a new day to feel better.

Created by Team O(1) with LOVE during the January 2025 Hackathon πŸ’

Team Members: Joe Zhou, Luyi Zhang, Nancy Liang, Nicole Li

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