WeMakeDevs × AWS Environmental Hacks•Track 03: Waste & Energy

Smarter Waste.
Greener Future.

Empower your recycling decisions with AI multimodal computer vision. Instantly identify materials, eliminate contamination in blue bins, and unlock real-time carbon diversion analytics.

No login required
Zero fake classifications
Gemini Vision ready
Vision Detection Feed
High Confidence: 98%
Sample Bottle
PET #1 Plastic Bottle

Recyclable Plastic Container

Polyethylene Terephthalate

Recyclable
Rinse residue & replace tethered cap
Compress bottle to conserve collection space
Est. Carbon Diverted:+0.32 kg CO₂ Saved

2.1B Tons

Annual global solid waste

30%+

Recycling bin contamination

95%

Energy saved recycling metal

< 1 Second

AI identification speed

Simple 3-Step Workflow

How EcoVision AI Works

From snapping a quick picture to executing verified disposal instructions, EcoVision AI transforms the way humans interact with discarded materials.

01

Snap or Upload

Take a photo directly with your phone camera or drag and drop any image of packaging, food waste, bottles, or batteries into the scanner.

02

Multimodal AI Analysis

Google Gemini multimodal vision detects the item, pinpoints resin identification codes, checks contamination flags, and calculates recyclability viability.

03

Divert & Track Impact

Receive practical preparation steps (rinse, separate caps) and track cumulative diverted waste and avoided carbon emissions on your dashboard.

Platform Capabilities

Built for Real-World Environmental Impact

A comprehensive toolkit combining computer vision, environmental metrics, and intelligent waste workflows.

Multimodal Vision Recognition

State-of-the-art vision models distinguish complex composite materials, translucent plastics, and organic matter with zero guesswork.

Contamination Prevention

Prevents "wishcycling" by alerting users to greasy pizza boxes, non-recyclable straws, and hazardous e-waste before they ruin entire batches.

Carbon & Energy Accounting

Calculates the direct embodied energy and greenhouse gas emissions conserved by diverting each kilogram of paper, metal, or plastic.

Circular Upcycling Guides

Provides actionable ideas to reuse jars, repurpose cardboard shipping materials, and compost organic peels at home.

Cloud & Edge Ready

Engineered for AWS serverless architecture (S3 image buckets, Lambda endpoints, DynamoDB analytics), ready for enterprise deployment.

Personalized Impact Dashboard

Visual category distribution breakdowns, diversion percentage milestones, and complete scan audit history saved locally.

Our Environmental Mission

Addressing the Global Waste Crisis at the Point of Decision

Most recycling failures happen not at industrial sorting plants, but right at the consumer bin. Over 30% of materials placed in blue recycling bins are contaminated, causing entire truckloads to be rerouted straight to landfills.

Built specifically for WeMakeDevs × AWS Environmental Hacks Track 03: Waste and Energy, EcoVision AI turns every smartphone into an intelligent sorting advisor, closing the loop between consumer habits and industrial circularity.

85%
Target diversion rate for household recyclables
0.35 kg
Average CO₂ avoided per properly diverted item

Standardized Waste Streams Managed

Recyclables

Clean paper, cardboard, PET/HDPE rigid plastics, aluminum and tin cans, glass bottles.

Organics & Compost

Fruit and vegetable scraps, coffee grounds, eggshells, garden trimmings, BPI-certified packaging.

Hazardous & E-Waste

Batteries, electronics, CFL lights, motor oil, household chemical containers requiring specialized depot drop-offs.

Residual Landfill

Soiled packaging, metallized crisp packets, styrofoam containers, multi-material pouches.

Ready to Scan Your First Waste Item?

Experience the instant accuracy of AI waste sorting. Upload a photo or pick one of our sample items to test the system immediately.