We Came. We Coded. We Cleaned the Planet (and Won).
⚙️ Set the Scene It all started with an open problem, a crew too stubborn to quit, and 24 hours to ship something real. We entered this national-level hackathon with a clear goal: to build something that didn’t just work but mattered. The theme was Open Innovation, and while the freedom was exciting, we knew we had to be intentional. Instead of chasing trends, we focused on a problem that’s real, relevant, and way too often ignored- waste management. That’s how 3RVision was born. An AI-powered platform designed to help users identify household waste and figure out whether it can be reused, recycled, or resold. It’s a practical, user-focused solution for a global issue. Built with machine learning, clean UI, and an emphasis on sustainability, we aimed to make responsible living more accessible and a little bit smarter. We weren’t trying to impress with flashy features we wanted to solve a real-world problem in a way that actually sticks. The 24 hours were intense. Between debugging models, designing flows, and juggling backend chaos, there were moments we genuinely thought we wouldn’t make it in time. But somehow, everything clicked just enough in the final stretch. And yeah that last-minute demo that somehow actually worked? Definitely one for the memory books.
⚙️ Set the Scene
It all started with an open problem, a crew too stubborn to quit, and 24 hours to ship something real.
We entered this national-level hackathon with a clear goal: to build something that didn’t just work but mattered. The theme was Open Innovation, and while the freedom was exciting, we knew we had to be intentional. Instead of chasing trends, we focused on a problem that’s real, relevant, and way too often ignored- waste management.
That’s how 3RVision was born. An AI-powered platform designed to help users identify household waste and figure out whether it can be reused, recycled, or resold. It’s a practical, user-focused solution for a global issue. Built with machine learning, clean UI, and an emphasis on sustainability, we aimed to make responsible living more accessible and a little bit smarter.
We weren’t trying to impress with flashy features we wanted to solve a real-world problem in a way that actually sticks.
The 24 hours were intense. Between debugging models, designing flows, and juggling backend chaos, there were moments we genuinely thought we wouldn’t make it in time. But somehow, everything clicked just enough in the final stretch. And yeah that last-minute demo that somehow actually worked? Definitely one for the memory books.
