Yasuni

Yasuni helps grocery stores cut food waste with smart AI inventory and redirects surplus to local charities—bringing sustainability and community impact together!

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Inspiration

We were driven by the urgent issue of food waste in retail and inspired by the idea that smarter systems could feed communities instead of landfills.

What it does

Yasuni predicts demand using AI, tracks products nearing expiration, auto-scans inventory, and reroutes surplus food to nearby shelters and food banks.

How we built it

We used AI models for demand forecasting, integrated gemini_API for barcode scanning and expiration tracking, and leveraged rapid_API for geolocation and delivery logistics.

Challenges we ran into

One of the major challenges we ran into was the difficult in creating cross-platform solutions to our problem. We intially struggled to share data across platforms, but we managed to overcome this solution by incorporating cross-plaform databases like Firebase.

Accomplishments that we're proud of

We built a working end-to-end solution that not only minimizes waste but also creates meaningful social good. Seeing it connect stores to charities was especially rewarding.

What we learned

We deepened our understanding of AI-driven logistics, real-time data syncing, and the power of tech in solving sustainability challenges.

What's next for Yasuni

We plan to pilot Yasuni with local grocery stores, refine our AI model with more data, and expand our charity network for greater impact.

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