Home Page
Wallet

Carbon Loop: Community-Driven Carbon Reward Network

Inspiration

Climate change is no longer a distant threat—it is already impacting our daily lives. Yet, while awareness is growing, individual action remains untracked, unrewarded, and disconnected from real systems.

We identified a critical gap:

Industries can trade carbon credits, but individuals—the largest collective force—cannot.

This led us to ask:

What if everyday actions could be verified, measured, and turned into real value?

What We Built

Carbon Loop is a community-driven carbon reward network that transforms daily actions into measurable climate impact and tangible rewards.

Users can:

Log activities like cycling, recycling, and energy saving
Convert actions into CO₂ savings
Earn carbon credits stored in a digital wallet
Redeem credits for real-world rewards

Instead of just tracking behavior, Carbon Loop creates a closed-loop micro carbon economy.

How It Works

We model carbon savings using simple, transparent calculations:

$$CO_2 \ \text{saved} = \text{Activity Value} \times \text{Emission Factor}$$

For example:

Activity	Formula
Cycling	$CO_2 = \text{distance} \times 0.21$
Energy Saving	$CO_2 = \text{kWh} \times 0.82$

Credits are calculated as:

$$\text{Credits} = CO_2 \ \text{saved} \times 10$$

Key Features

Verification Layer

Activities are tagged as GPS Verified or AI Verified to increase trust and credibility.

Impact Insight Engine

Converts CO₂ savings into relatable insights such as energy usage equivalents, making abstract numbers meaningful.

Action Engine

Suggests the next best activity to maximize your climate impact based on your history.

Streak System

Encourages consistent user engagement through daily and weekly streaks.

Community Progress System

Tracks collective impact and shared milestones across the community.

Tech Stack

Layer	Technology
Frontend	React Native (mobile-first design)
Backend	Firebase (Auth + Firestore)
UI	Clean, data-driven interface optimized for clarity and usability

Challenges We Faced

Trust and Verification

Ensuring credibility without complex infrastructure was challenging. We addressed this using a multi-level verification approach combining GPS data and AI-based activity recognition.