Implement adaptive color scheme based on ambient light

[RUKAYAT-CODER]

Background

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Description

Use ambient light sensor to adapt color scheme (bright in sunlight, dark in low light) for better readability.

Current Behavior

Fixed color scheme or manual toggle

Expected Behavior

Automatic adaptation to ambient light

Impact

✨ Better readability in all light conditions
🎯 Improved user experience

Acceptance Criteria

• Access ambient light sensor
• Detect light level
• Switch theme based on level
• Test in various lighting
• Allow manual override
• Document adaptive scheme

Implementation Hints

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Related Issues

• Duplicate Component Organization #94
• No Pre-commit Code Check in CI #122
• No App Store Metadata #139

[Michvista]

@Michvista has applied to work on this issue as part of the Stellar Wave Program's 5th wave.

Hi team,

I would love to take on this issue and implement the adaptive color scheme based on ambient light. I am a mobile and full-stack developer with extensive experience building responsive mobile applications, utilizing device hardware features, and crafting highly polished UI/UX theme layers.

How I Plan to Approach This:

Sensor Integration: I will hook into the device's native ambient light sensor (using expo-sensors LightSensor or the platform's corresponding native sensor API) to accurately poll or listen to changes in lux levels.

Smart Threshold Matrix: I will implement a clean, debounced threshold system so the app doesn't rapidly flicker between light and dark modes under unstable or shifting light conditions.

Theme Engine & Manual Override: I will couple the sensor data directly with the app's global state provider (Context/Redux) to trigger smooth theme updates. I will ensure that if a user sets a manual preference, it cleanly overrides the automatic sensor data as specified in the criteria.

ℹ️ Repo Maintainers: To accept this application, review their application or assign @Michvista to this issue.

[gloskull]

@gloskull has applied to work on this issue as part of the Stellar Wave Program's 5th wave.

Hello,

I’m a developer with 4 years of hands-on experience working on production-grade systems and contributing to collaborative, open-source environments. I’ve carefully read through this issue and fully understand the problem it addresses, the expected outcomes, and the constraints outlined in the acceptance criteria.

I’m comfortable taking ownership from start to finish: reviewing the existing codebase and related context, designing a clean and maintainable solution, implementing it with attention to edge cases and correctness, and validating everything with appropriate tests and documentation where required. I place strong emphasis on clarity, reliability, and aligning closely with the project’s existing patterns and standards, so the final result is easy to review and integrate.

I’m confident I can handle this task efficiently and deliver a solid, well-structured solution that meets all the requirements without unnecessary complexity. I’m also open to feedback during implementation to ensure the outcome matches the maintainers’ expectations.

ℹ️ Repo Maintainers: To accept this application, review their application or assign @gloskull to this issue.

[drips-wave]

Congratulations, @Michvista! 🎉 Your application was accepted by the repo's maintainers, and the issue is due on June 2, 2026.

🧑‍💻 @Michvista: Please resolve the issue such that the repo's maintainers have enough time to review your contribution before the due date. You'll earn Points for completing the issue on-time, which will make you eligible for a share of the Stellar Wave Program's reward pool.

Warning

When opening a PR, please link it to this issue to ensure it gets tracked accurately. Points are awarded when this issue is marked as completed by the maintainer.

🤠 Repo maintainers: Please keep an eye on the contributor's progress and review their work before the due date. You can manage this issue, including adjusting its complexity and points, here.

🌊 Happy Wave 🌊