EcoCard | Transforming Receipts --> Sustainable Future

EcoCard Homepage
EcoCard Signup Page
EcoCard Scanning (using OpenCV)
EcoCard Product Page

Inspiration

My inspiration behind EcoCard was the urgent need to promote sustainable living practices in our society. I aimed to create an innovative solution that not only encourages people to adopt eco-friendly products but also:

rewards them for their environmentally conscious choices
make a significant positive impact on our planet

What it does

EcoCard is a tool that empowers users to make eco-conscious choices effortlessly. Users can identify and track the eco-friendly products they purchase by scanning their receipts. The app provides valuable information about these products and allows users to earn SOL, a digital currency, for every eco-friendly purchase. These SOL points can be redeemed for various sustainable products, creating a cycle of awareness, action, and reward that motivates users to continue making environmentally friendly choices.

Application Features

Receipt Scanning - Easily capture and upload your receipts
Product Recognition - Identify eco-friendly and non-environmentally friendly items
SOL Rewards - Earn SOL for sustainable choices

How to use EcoCard

(account must be created + wallet must be integrated prior to this)

Scan your receipt through OpenCV (Computer Vision)
Application analyzes items through OpenAI API Integration
SOL Account Creation/Automated Transfer of Cryptocurrency through Blockchain Tech. 3a. Earn SOL for eco-friendly items 3b. Deduct SOL for non-environmental choices

How I built it

I developed EcoCard's backend using Python and Solana's blockchain technology. By importing essential Solana modules, establishing a connection to the Solana Mainnet API, and generating secure user accounts, I enabled users to engage in sustainable transactions. The system allows the user to connect their wallet for transactions.

For EcoCard's frontend, I used Express.js, a Node.js framework, to create a responsive web application. Through Express, I established RESTful API endpoints for user management and receipt scanning, enabling seamless communication with the backend. I integrated MongoDB with Mongoose for structured data storage and utilized Multer for efficient file uploads, allowing users to submit receipt images. I also used OpenAI's GPT-3.5 Turbo model for eco-friendly scoring of scanned items, giving users instant feedback.

Challenges I ran into

During the development of EcoCard, I encountered a bunch of challenges. One of the major hurdles was ensuring the accuracy of product recognition from diverse and sometimes complex receipts. I had to fine-tune the algorithms to make sure everything was on point.

Accomplishments that I'm proud of

I am incredibly proud of creating a user-friendly, reliable, and innovative platform that promotes sustainable living. One of my significant accomplishments, in my opinion, achieving a high level of accuracy in product recognition espically in such a short amount of time, enabling users to trust the app's recommendations.

What I learned

Throughout the development of EcoCard, I learned the importance of perseverance. I gained insights in sustainable product recognition. I deepened our understanding of user behavior, allowing myself to create an interface that encourages active user engagement and people to stay active.

What's next for EcoCard | Transforming Recipts --> Transforming Future

Looking ahead, I have ambitious plans to expand EcoCard's impact on sustainable living. I aim to continuously refine our product recognition algorithms, ensuring they encompass a wider range of products and receipt formats.

Additionally, I am working on integrating features that enable users to share their eco-friendly achievements with their social networks, showing off a sense of community and encouraging others to join the movement.