TrashPro

Inspiration

Our inspiration for TrashPro came from a shared commitment to environmental sustainability. We wanted to create a solution that simplifies waste sorting and encourages responsible disposal.

What it does

TrashPro employs AI image recognition to classify items into Recycle, Compost, or Landfill categories. It empowers users to make eco-friendly choices when disposing of waste.

How we built it

We developed TrashPro using Flask and integrated the Roboflow API for image recognition. The front end was built using Flet, providing a user-friendly interface.

Challenges we ran into

We faced challenges in fine-tuning the AI model and optimizing performance. Integration with the Roboflow API and handling real-time image processing posed technical hurdles.

Accomplishments that we're proud of

We're proud of creating an app that promotes environmental awareness and sustainable waste management. TrashPro's user-friendly interface and accurate sorting capabilities are significant achievements.

What we learned

During the development of TrashPro, we gained valuable insights into AI model integration, image recognition, and user interface design. We also deepened our understanding of environmental issues.

What's next for TrashPro

In the future, we plan to expand TrashPro's features, including educational resources on recycling and composting. We aim to collaborate with recycling facilities and waste management organizations to enhance its impact.