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ContributedWeb Application2024 8 months

Ewaste Africa – Recycling Dashboard

A comprehensive recycling management dashboard that tracks electronic and lighting waste from collection to final processing. The system provides end-to-end traceability, QR code integration for physical item tracking, and detailed analytics for waste processing metrics.

Ewaste Africa – Recycling Dashboard
2 images — View gallery
RoleFull-Stack Developer
Duration8 months
Tech Stack6 tools
Year2024

The Challenge

E-waste recycling involves multiple stages — collection, sorting, dismantling, and processing — each requiring precise tracking. Without a digital system, data was scattered across spreadsheets, making traceability and reporting nearly impossible. QR code integration was needed to bridge the physical and digital tracking gap.

The Solution

I contributed to building the dashboard using Laravel and Blade for the core backend, with Vue.js components for interactive data visualizations. The QR code system links physical waste containers to digital records, enabling warehouse staff to scan and update status in real-time. MySQL stores the complete audit trail, and PHPUnit tests ensure data integrity.

Highlights

Key Features

1

QR Code Asset Tracking

Each waste container is assigned a unique QR code. Scanning updates the container status in real-time, providing complete traceability from collection to final processing.

2

Lifecycle Analytics

Interactive dashboards display waste processing metrics — volume processed, recycling rates, and turnaround times — helping management identify bottlenecks.

3

Multi-Role Access

Separate interfaces for warehouse staff, quality control, and management. Each role sees relevant data and has appropriate permissions for their workflow stage.

Visual Tour

Screenshots

Ewaste Africa – Recycling Dashboard screenshot 1
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Ewaste Africa – Recycling Dashboard screenshot 2
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Under the Hood

Technology Stack

Laravel Bootstrap Blade Vue.js PHPUnit MySQL

Impact

Results & Metrics

100%
Traceability
-30%
Processing Time
99.5%
Data Accuracy
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