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Sustainability & AI / EcoCoin - Smart Waste Sorting & Rewards
Case Study • Sustainability & AI

EcoCoin - Smart Waste Sorting & Rewards

AI-powered waste sorting and rewards platform for sustainable everyday habits.

My Role
Flutter Mobile Developer
Domain
Sustainability & AI
Status
● Production Ready
Contracting
MDN Projects
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AI-assisted
Waste Classification
EcoCoin-based
Reward System
Photo-based
Sorting Workflow
Gamified
Sustainability Engagement
EcoCoin - Smart Waste Sorting & Rewards preview 1

01 / Overview

EcoCoin is a mobile application designed to promote an eco-friendly lifestyle by making waste sorting easier, more practical, and engaging. The application uses automatic image-based classification to identify different types of waste, allowing users to sort waste without requiring specialized knowledge of waste categories. EcoCoin also introduces an EcoCoin-based loyalty and rewards system, where users earn rewards from their waste-sorting activities. This combination of AI-assisted classification and gamified incentives helps motivate sustainable habits while providing organizations and communities with a digital mechanism to support and measure environmental initiatives.

02 / Problem & Solution

The Challenge

Waste sorting can be difficult for users who are unfamiliar with waste categories, reducing consistent participation in recycling and sustainable practices. Manual classification also creates friction for everyday users. In addition, communities and organizations need engaging mechanisms to encourage continued participation and recognize users’ environmental contributions.

The Engineering Solution

Developed a mobile waste-sorting application with image-based automatic waste classification and an EcoCoin reward mechanism. Implemented a simple photo-driven workflow so users can identify waste categories more easily. Added a loyalty system that turns sorting activities into reward points, creating an incentive for users to build sustainable habits and participate consistently.

03 / Architecture & Implementation

System Architecture Design:
Flutter mobile client integrated with image-based classification services and RESTful APIs for waste records, user activities, and EcoCoin rewards.

04 / My Responsibilities

  • ▹ Developed cross-platform mobile features using Flutter
  • ▹ Implemented waste image capture and classification workflows
  • ▹ Integrated image classification/AI services for waste identification
  • ▹ Developed EcoCoin reward and activity flows
  • ▹ Integrated RESTful APIs for waste, user, and reward data
  • ▹ Implemented state management and reusable application components
  • ▹ Handled UI implementation, testing, debugging, and application release.

05 / Challenges & Business Outcomes

Technical Obstacles

Providing useful waste classification from user-captured images; Designing a simple workflow for users without specialized waste-management knowledge; Connecting AI classification results with user activities and reward calculations; Maintaining a responsive mobile experience while processing image-based interactions.

Measurable Impact

Made waste sorting more accessible through image-based classification and transformed sustainable activities into an engaging reward experience. The application supports organizations and communities in encouraging participation and structuring environmental contribution data.