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Ekong Ikpe
Ekong Ikpe

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Gnoke: Repurposing E-Waste into Zero-Energy Knowledge Devices

DEV Weekend Challenge: Earth Day

This is a submission for [Weekend ---
**Challenge: Earth Day Edition
* 🌍

(https://dev.to/challenges/weekend-2026-04-16)

What I Built

Gnoke turns discarded smartphones into zero-energy knowledge devicesβ€”reducing e-waste and eliminating reliance on the cloud.

I built Gnoke Bible, an ultra-lightweight, offline-first digital reader designed to extend the life of old, low-spec devices. Instead of letting aging smartphones become landfill, Gnoke repurposes them into permanent, offline knowledge tools.

Once loaded, the app runs with:

  • Zero data usage πŸ“΄
  • Zero server dependency ☁️
  • Minimal battery consumption πŸ”‹

This eliminates repeated data downloads and reduces reliance on energy-intensive cloud infrastructure.

Demo

πŸ”— https://edmundsparrow.github.io/gnoke-bible

Code

πŸ’» https://github.com/edmundsparrow/gnoke-bible

How I Built It

Ultra-Low-Resource Development

The entire project was designed and built on a low-end Infinix Android device, targeting the same class of hardware it aims to preserve. This ensured real-world performance optimization for constrained environments.

Technical Decisions

  • Vanilla Stack: Built with HTML, CSS, and JavaScript only β€” no frameworks
  • Offline-First Architecture: Service Workers and localStorage store all content locally
  • Energy Efficiency: Minimal CPU usage and reduced battery drain
  • Device Longevity: Optimized for low RAM to keep older phones usable

Why It Matters (Earth Impact) 🌱

  • Reduces e-waste by extending device lifespan ♻️
  • Eliminates repeated data downloads, lowering energy consumption ⚑
  • Reduces reliance on cloud servers, lowering carbon footprint 🌍
  • Reduces paper demand by replacing frequently printed materials with a one-time digital download πŸ“š
  • Helps preserve trees by lowering repeated printing of books and documents 🌳

Prize Categories

Best Use of Google Gemini ✨

Google Gemini was used as a lightweight collaborator to refine optimization decisions and improve system efficiency.


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