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SirkulasiIn

SirkulasiIn is an AI-powered circular economy platform that helps people turn household waste into valuable opportunities through smart scanning, recycling recommendations, and a marketplace for eco-friendly products.

Project Overview

SirkulasiIn is a website designed to promote a sustainable lifestyle by leveraging AI technology for waste management. Users can scan waste items to receive automatic identification, recommendations for the best course of action, and information on how to recycle or repurpose the materials. The platform also tracks the user's environmental impact history, allowing for transparent monitoring of actions and fostering eco-friendly habits.

Beyond its role as an educational tool, SirkulasiIn features a marketplace that connects users with various recycled products and circular economy communities. The website showcases the platform's benefits, user testimonials, trust indicators, and invitations to join a green community, thereby creating a digital ecosystem that not only simplifies waste management but also encourages community collaboration in building an environment that is cleaner, more sustainable, and economically valuable.

Technical Stack

Next.js
Tailwind
Supabase
Groq API
GitHub

Gallery & Previews

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Core Functionalities
1

AI Waste Scanner & Smart Recommendation

The system enables users to scan waste using AI technology to automatically identify the material type. Based on the scan results, the system provides recommendations for the best course of action—such as recycling, reusing, selling, or disposing of the item at an appropriate facility.

2

Circular Marketplace

The platform provides a marketplace that connects users with recycled products and pre-owned items that are still in good condition. This feature supports the circular economy by extending product lifecycles while creating economic opportunities for the community.

3

Environmental Impact Tracking

The system records every user activity related to waste management and displays real-time environmental impact statistics—such as the volume of waste diverted from landfills, estimated CO₂ emission reductions, and the user's contribution history—to encourage more sustainable habits.

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