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EcoCart

Sustainable Shopping Companion Powered by AI

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• About The Project
• Built-With
• Getting Started
• Roadmap
• Contributing
• License
• Contact
• References
• More Images

EcoCart is an AI-powered Sustainable Shopping Companion that helps users reduce their carbon footprint. It consists of a user-friendly dashboard web app and a browser extension for seamless transaction tracking.

With EcoCart, users can effortlessly monitor their carbon footprint by integrating the browser extension with popular e-commerce platforms. The AI technology analyzes the data, providing detailed insights into the environmental impact of each purchase.

The intuitive dashboard empowers users to track their progress, and make informed decisions. The interactive charts and gamified experience guide users towards eco-friendly alternatives and conscious consumption habits.

EcoCart promotes sustainable living by combining AI, a user-friendly dashboard, and a transaction-tracking web extension. Together, we can make a positive impact on the environment through mindful shopping choices.

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• NextJS
• Chrome Extension Manifest Version 3
• Supabase
• Amazon Web Service
• Docker
• Netlify
• Figma
• Untitled UI
• Tailwindcss
• OpenAI API
• SGID

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Please view the readme in the respective folders

Browser Extension README.md

Dashboard Web App README.md

OpenAI API README.md

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• Support for other major online marketplace (e.g. Carousell, Taobao etc.)
• Reward system for points accumulated from our gamification system
• SaaS pricing model for users

See the open issues for a full list of proposed features (and known issues).

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Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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Distributed under the MIT License. See LICENSE.txt for more information.

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• Tham Kei Lok (Frontend Engineer/UIUX Designer) - LinkedIn

• Chai Pin Zheng (Frontend Engineer/Web Extension Engineer) - LinkedIn

• Tan Yu Hoe (AI Engineer/Backend Engineer) - LinkedIn

Project Link: https://github.com/keiloktql/LifeHack2023-EcoCart

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• OpenAI's GPT-3

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