https://github.com/imamaaa/trash-to-treasure-client-web-app
Part of my Final Year Project (FYP), this web application enables partnered shops and cafes to verify and redeem user rewards earned through recycling. Integrated with an AI-powered trash classification system, it promotes sustainable waste management by making recycling a rewarding experience.
https://github.com/imamaaa/trash-to-treasure-client-web-app
client-web-app firebase flutter flutter-web-app qr-code-scanning recycling rewards-system trash-classification waste-management web-app
Last synced: about 2 months ago
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Part of my Final Year Project (FYP), this web application enables partnered shops and cafes to verify and redeem user rewards earned through recycling. Integrated with an AI-powered trash classification system, it promotes sustainable waste management by making recycling a rewarding experience.
- Host: GitHub
- URL: https://github.com/imamaaa/trash-to-treasure-client-web-app
- Owner: imamaaa
- Created: 2025-03-21T02:16:31.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2025-03-21T03:08:37.000Z (2 months ago)
- Last Synced: 2025-03-21T03:28:20.515Z (2 months ago)
- Topics: client-web-app, firebase, flutter, flutter-web-app, qr-code-scanning, recycling, rewards-system, trash-classification, waste-management, web-app
- Language: Dart
- Homepage:
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Trash to Treasure - Client Web App
## Overview
The **"Trash to Treasure" Client Web App** is part of my **Final Year Project (FYP)** that aims to tackle **low recycling rates and poor waste management** through an **AI-powered trash classification and incentivized rewards system**.
Pakistan generates approximately **49.6 million tons of solid waste annually**, yet **only 3% of plastic waste is recycled locally**. The lack of proper waste segregation and incentives results in **mixed waste**, making recycling efforts inefficient.
This system provides a **digital solution** that integrates:
- **AI-based Trash Classification Module** → Classifies waste types for better segregation
- **Smart Bin** → Displays QR codes/PINs after users dispose of waste
- **Client Mobile App** → Allows users to scan QR codes, track recycling history, and earn points
- **Client Web App** → Enables users to log into their accounts, track points, and manage rewards
- **Admin Web App** → Used by shops & cafes to verify and redeem user rewards
**This repository contains only the Client Web App** used by partnered shops and cafes.
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## Features
- **Shop & Cafe Registration** → Businesses can register to participate in the rewards program.
- **QR Code Scanning** → Cashiers can **scan user QR codes** to validate and redeem rewards.
- **PIN Code Entry & Authentication** → If QR scanning is unavailable, cashiers can manually enter a PIN code.
- **Integration with Point System** → The web app updates the redemption status in the database.
For more details on methodology, implementation, and results, refer to the FYP Report `(S24_008_D_TrashtoTreasure.pdf)`.
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## Repository Contents
- `web/` → **Web-specific files for the Flutter app**
- `lib/` → **Flutter app source code (UI, logic, API integrations)**
- `assets/` → **Images, icons, and static resources**
- `pubspec.yaml` → **Dependencies & package configurations**
- `README.md` → **Project documentation (to be expanded)**
- `S24_008_D_TrashtoTreasure.pdf` → **Comprehensive project report detailing methodology & results**
**This repository is for the Client Web App only.** Find related repositories here:
- **[Client Mobile App Repo](https://github.com/imamaaa/trash-to-treasure-mobile-client-app)**
- **[Admin Web App Repo](https://github.com/imamaaa/trash-to-treasure-admin-web-app)**
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## Future Enhancements:
- **Expand the README** with:
- **Setup & Installation Guide** to help users run the app.
- **System Architecture** explanation & API endpoint details.
- **Screenshots & UI Previews** for better visualization.
- **Demo Video/GIF** to showcase the app in action.
- **Challenges & Lessons Learned** section documenting obstacles & solutions.
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