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Drishya Singhal
Drishya Singhal

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NatureFit: Turn Going Outside Into an AI-Powered Nature Quest ๐ŸŒฟ

๐ŸŒ Try NatureFit live: https://drishya-code.github.io/NatureFit/

๐ŸŒฟ NatureFit: Turn Going Outside Into a Nature Quest

What if going outside wasn't just about counting steps or calories?

What if your workout could also make you slow down, notice what's around you, and actually interact with nature?

That's the idea behind NatureFit.

I built NatureFit as an AI-powered outdoor fitness experience that turns physical activity and nature discovery into small quests.

Instead of simply telling you to exercise, NatureFit gives you a reason to go outside, explore your surroundings, move your body, and complete a challenge.

๐ŸŒฑ The Idea

Most fitness apps focus heavily on numbers:

  • Steps
  • Calories
  • Distance
  • Workout duration

Those metrics are useful, but I wanted to experiment with something different.

What if nature itself became part of the workout?

NatureFit combines two things in every quest:

๐ŸŒฟ Nature + ๐Ÿƒ Movement

A quest can ask you to discover or observe something around you while also completing a physical activity.

The goal is simple:

Go outside. Move. Notice something.

And turn it into a quest.

๐ŸŽฏ How NatureFit Works

The basic flow is:

Create Quest โ†’ Get Nature + Movement Tasks โ†’ Start โ†’ Complete Tasks โ†’ Provide Evidence โ†’ Earn XP โ†’ Build Your Journal

When creating a quest, the user can choose things such as their activity, duration, fitness level, and environment.

NatureFit then generates a nature-and-movement challenge.

For example, a quest might ask you to:

๐ŸŒฟ Find and observe something interesting in nature.

๐Ÿƒ Complete a short movement activity.

๐Ÿ“ธ Provide the required evidence.

โญ Earn XP after completing the tasks.

The idea is to make outdoor activity feel less like a checklist and more like a small adventure.

๐Ÿค– Where AI Comes In

AI is used to generate varied outdoor quests based on the user's selected preferences.

I didn't want AI to be the entire product. Instead, it has a specific job: helping create interesting and varied nature + movement challenges.

There is also an offline fallback.

If AI generation isn't available, NatureFit uses its ready-made quest library instead.

The application clearly tells the user when the fallback is being used rather than pretending that an AI-generated quest was created.

๐Ÿ”’ Keeping AI Honest

One thing I really wanted to avoid was making AI claims that the application can't actually support.

NatureFit does not pretend to automatically verify someone's:

  • GPS distance
  • Steps
  • Physical activity
  • Location

Photo evidence is currently presence-based rather than pretending that an AI model has understood everything in the image.

Movement is also self-reported.

I think being honest about what the technology can and cannot verify is more important than adding impressive-sounding AI claims.

๐Ÿ† XP Without Easy Farming

There was another problem I wanted to think about:

What stops someone from simply generating quests repeatedly and farming XP?

Generating a quest gives 0 XP.

Starting a quest gives 0 XP.

XP is awarded through actual task completion.

Completing a quest also gives its completion bonus only once.

During testing, I actually found a bug where quickly double-tapping the "Complete quest" button could award the completion reward twice.

That was fixed with a one-shot completion guard, and a regression test was added for it.

This was a good reminder that testing the actual user flow can reveal problems that aren't obvious from simply reading the code.

๐Ÿ“ฑ Built as a PWA

NatureFit is built as a Progressive Web App.

It can be used from a browser and installed like an app on supported devices.

The application also has an offline experience with ready-made quests, so losing connectivity doesn't completely stop the experience.

The goal was to make NatureFit something that actually makes sense outside, rather than something that only works comfortably on a desktop.

๐Ÿงช Testing It Properly

I didn't want to stop at:

"It works on my machine."

I ran NatureFit through a full testing pass covering the main user journeys, AI behavior, PWA functionality, accessibility, and edge cases.

The final results:

Test Area Result
Logic 24/24
AI path 39/39
End-to-end 40/40
PWA 20/20
Accessibility 17/17
Edge cases 13/13
Total 153/153

I also tested multiple viewport sizes, including mobile and desktop, and checked keyboard navigation, focus visibility, contrast, reduced-motion behavior, and layout issues.

The live GitHub Pages deployment was also tested after the final changes.

๐Ÿ› ๏ธ Tech Stack

  • React
  • JavaScript
  • Vite
  • Progressive Web App
  • AI-powered quest generation
  • Local browser storage
  • Playwright
  • Node.js

๐ŸŒ Why I Built It

The motivation was pretty simple.

We already have plenty of apps telling us how many steps we took.

I wanted to build something that gave us a reason to actually go outside and pay attention to where we are.

Instead of:

"Walk for 30 minutes."

NatureFit can turn that into:

"Go outside, discover something interesting, move for a while, and complete your quest."

That small change makes the activity feel more intentional.

๐Ÿšง Current Limitations

NatureFit is still a project, so there are some things it doesn't do yet.

Currently:

  • There is no GPS or distance tracking.
  • Movement evidence is self-reported.
  • Photo verification is presence-based.
  • There is no cross-device synchronization.
  • AI quest generation requires connectivity.
  • Physical camera capture and iOS PWA installation still need testing on real devices.

I'd rather document these limitations than pretend the application can do something it currently can't.

๐Ÿ”ฎ What's Next?

There are quite a few directions I'd like to explore:

  • Better quest personalization
  • More interesting nature discovery challenges
  • Stronger evidence validation
  • GPS-based outdoor challenges
  • Better mobile sensor integration
  • Cross-device synchronization
  • More advanced long-term progress tracking

But the core idea would stay the same:

Nature + Movement + A little curiosity.

๐ŸŒฟ Try NatureFit

Live Demo

https://drishya-code.github.io/NatureFit/

GitHub

https://github.com/Drishya-code/NatureFit


Final Thoughts

Building NatureFit made me think about how easily technology can keep us inside while trying to make us healthier.

So I wanted to use technology for the opposite purpose.

Not to keep you staring at another screen.

But to give you a reason to put the screen down.

Go outside.

Explore.

Move.

Notice something.

That's NatureFit. ๐ŸŒฟ


Built for the Hacktoberfest 2026 Week 1 โ€” Touch Grass challenge.

I'd love to know:

What kind of outdoor quest would you want NatureFit to generate for you?

Top comments (2)

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creator_c9b00030c756f2f5f profile image
Creator •

Nice one...I saw your previous post too ..you doing good work

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kraken_bb2ac85b7cbc profile image
kraken •

๐Ÿ‘Œ