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๐ŸŒฑ EcoMirror

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EcoMirror is a local-first GreenTech web application that helps individuals reflect on their environmental impact while contributing anonymously to a shared community footprint.

EcoMirror is designed for clarity, transparency, and real-world feasibilityโ€”favoring clean logic, thoughtful UX, and privacy-first architecture over unnecessary complexity.


๐Ÿ“š Table of Contents


โ“ Problem Statement

Most sustainability apps either overwhelm users with data or rely on opaque โ€œsmartโ€ systems that are difficult to trust and explain.
Individuals struggle to understand their personal environmental impact, and even more so, how their actions contribute meaningfully at a community level.


๐ŸŽฏ Target Users

  • Students and young professionals
  • Environmentally conscious individuals
  • Hackathon judges and evaluators (educational focus)
  • Anyone interested in simple, transparent sustainability tracking

โœจ Key Features

  • Personal Impact Dashboard

    • Carbon impact (rule-based)
    • Water usage and stress indicator
    • Overall eco score
  • Daily Entry Logging

    • Transport mode and distance
    • Water usage estimates
    • Simple, forgiving inputs (approximate values allowed)
  • Community Impact View

    • Aggregated, anonymous statistics
    • Total water saved and carbon avoided
    • No leaderboards, no competition, privacy-first
  • Local-First Design

    • Works offline
    • No authentication required
    • Personal data never leaves the device

๐Ÿ›  Tech Stack

Frontend

  • React (Vite)
  • Plain CSS
  • Chart.js / Recharts (for visualization)

Storage

  • IndexedDB (browser-based local storage)

Backend (Optional / Lightweight)

  • Supabase (serverless, anonymous aggregation only)

Philosophy

  • No AI
  • No ML
  • No prediction models
  • Fully rule-based and explainable logic

๐Ÿง  Architecture Overview

EcoMirror follows a local-first + anonymous sync architecture:

  1. User data is stored locally in the browser using IndexedDB.
  2. Calculations are performed client-side using fixed factors.
  3. Only anonymous, aggregated numeric contributions are synced to the cloud.
  4. Community statistics are read-only and shared globally.

This ensures:

  • Privacy by default
  • Offline usability
  • Minimal backend complexity
  • Easy deployment and scalability

๐Ÿ“ Folder Structure

The project intentionally uses a flat structure to keep it human-readable and beginner-friendly:

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