Jimmy Shi
Interactive Design

Intelligent E-Waste Recycling System

The alarming rise in battery fires at recycling facilities highlights a critical flaw in our current e-waste management. Project Reboot directly confronts this challenge with a groundbreaking, two-part intelligent recycling system.

Timeline:
Jan - July 2025
Team:
Solo Project
My Role:
Solo Project
Deliverables:
Smart Collection Bin Prototype
Digital Traceability Platform
AI Recognition System
User Interface Design
Scope:
E-Waste Management
AI Image Recognition
NFC Technology
Sustainable Design
Impact:
Reducing battery fires at recycling facilities
Creating transparent e-waste tracking
Building circular economy solutions
Fostering safer communities
Project Reboot addresses the critical challenge of battery fires at recycling facilities through an intelligent e-waste management system.

This groundbreaking project combines AI-powered image recognition with NFC technology to create a comprehensive solution that transforms dangerous e-waste recycling into a safe, transparent, and accountable process.

The system not only prevents hazardous incidents but also builds a circular economy framework for sustainable electronics disposal.

Interactive demonstration showing the Project Reboot workflow from collection to tracking.
Comparison between current hazardous e-waste recycling journey and Project Reboot's intelligent solution.
Journey Comparison: Current hazardous e-waste journey vs Project Reboot's safe journey
Comparison between current hazardous e-waste recycling journey (top) and Project Reboot's intelligent solution (bottom)
Smart Collection Bin, Digital Traceability Platform, AI Recognition System, and User Dashboard.

Smart Collection Bin

Advanced collection bin equipped with AI-powered image recognition that identifies and segregates high-risk components like lithium-ion batteries at the point of disposal.

Digital Traceability Platform

NFC technology assigns every item a unique digital identity, creating an unbroken, transparent chain of custody accessible through an intuitive digital platform.

AI Recognition System

Machine learning algorithms trained to identify dangerous electronic components and automatically sort them to prevent recycling facility fires.

User Dashboard

Follow your device's journey, understand its environmental impact, and be confident in its responsible recycling through our comprehensive tracking interface.

Try the interactive Project Reboot application and experience the complete workflow.
Complete user journey from camera capture to QR code tracking through app screenshots.
Home Page

Home Page

Clean, intuitive starting point for users

Camera Capture

Camera Capture

AI-powered image recognition interface

Processing

Processing

AI analysis and component identification

Results

Results

Detection results and safety recommendations

Next Steps

Next Steps

Guidance for proper disposal

QR Code for Tracking

QR Code for Tracking

Digital identity assignment for traceability

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