EcoWarriors

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EcoWarriors: Building a Smarter Recycling Future

🌱 Inspiration
The idea for EcoWarriors came from two major frustrations:

Waste mismanagement – Seeing plastic littering streets and water bodies made me realize how little incentive people have to recycle properly.
Lack of consumer awareness – Many people unknowingly use expired or counterfeit products simply because tracking this information is tedious.

I was inspired by:

Blockchain-based reward systems (like Plastic Bank) that incentivize recycling.
AI-powered product recognition (Google Lens, Amazon Go) making scanning effortless.
Dual-QR solutions from research papers, ensuring traceability from purchase to disposal.

📚 What I Learned While building EcoWarriors, I explored:
✅ AI/ML for waste classification – Training models to identify packaging materials (plastic, paper, e-waste).
✅ QR-based tracking – Implementing secure, tamper-proof product validation.
✅ Tokenized rewards – Studying blockchain microtransactions for fair incentivization.
✅ User psychology – How gamification (points, badges) boosts recycling habits.

⚙️ How I Built It Tech Stack

Frontend : React Native and Tailwind CSS
Backend : Node.js (reward logic).
AI: TensorFlow Lite (on-device waste recognition) + Google Vision (barcode/QR).

Key Features Developed

Smart Scanning
- Users scan products via QR, barcode, or AI camera (e.g., detects a "Frooti bottle" as PET plastic).
Reward System
- 1kg plastic = ₹10 (redeemable as vouchers or cashback).
Expiry/Alerts
- Notifications like "Your milk expires tomorrow!"
Fraud Detection
- Flags counterfeit products via QR validation.

🔥 Challenges Faced

AI Accuracy
- Early versions misclassified black plastics. Fixed by augmenting training data.
QR Tampering
- Implemented cryptographic signatures to prevent fake recycling claims.
User Adoption
- Added social sharing ("I recycled 10kg this month!") to drive virality.

EcoWarriors proves that sustainability can be simple, rewarding, and tech-driven. Let’s make recycling a habit—one scan at a time! ♻️💡