Scrappy: Origins

Picture this: a child returns home from a long day at school, greeted by piles of paper, plastic and stationery waste. To top it all off, they have a science project due, yet they don't have the cash or materials to pull it off. Doubt, anxiety and fear fill their mind, but that's where Scrappy comes in: to make something out of nothing!

What it does

Our app provides users with micro-actions, rather than actions - those they can do on the side of daily tasks, those that can take just a few minutes of their day, something not as demanding yet still impactful. With this, everyday people get a chance to act for their planet in their own little ways, and drive each other to do the same.

The main function is its quest system: upload an image of the waste material you have, and the AI generates a series of recycling projects called "quests", and ranks them by environmental contribution. Then, after completing a quest, the user is incentivised by points, which can be used to decorate their very own pet axolotl! Any doubts? The Chat allows you to talk to your pet axolotl, who happens to be an expert at recycling!

The points can also be gained through the built-in quizzes. Take a few lessons in recycling and give the questions a shot! You can also take a snap of projects you're proud of and post it on the global feed! See others' posts, make friends and compete with each other to be nature's best defender!

Now, the student from above is no longer afraid; he is instead empowered, excited and ready to give his best shot -- both to take down the mess and perfect his project!

How we built it

Scrappy was built using Lovable.dev, an AI app builder. We first researched the environmental impact of schools and school-related waste, and wrote down the core functionalities we wanted the user to have at ease: education, innovation, and feasible action. We then converted these needs into actionable commands for the AI, and along with a final theme we selected from those designed and our research to power the education function, put it into a cohesive prompt. The final result? The app we know and love.

Challenges we ran into

Failure is a stepping stone to success. That was definitely the truth for our project. Our main issue was in the camera function: we needed to be able to have photographs accepted by the AI to post on the feed and generate quests, yet also needed a way to verify that harmful images aren't uploaded either. Thus came the report button -- overseen completely by humans, who will verify any "harmful" images, then decide to keep it up or not.

Accomplishments that we're proud of

We are more than proud of what we've made with Scrappy: as one of our first environmental-related and AI-based projects, Scrappy fills us with deep satisfaction. From the chatbot to the cute pet, from the quizzes and quests, to the global synced leaderboard, we are proud to be the makers of Scrappy.

What we learned

This experience has taught us the power AI holds in the future. Tasks that used to be hardcoded can now be personalised to every user in the world, using the functions that an artificial intelligence model provides, and this deeply resonates with the functionalities of Scrappy.

Scrappy: Future

So, what does the future hold for us? We hope to expand Scrappy to more than just school students. This is everybody's environment -- 12 billion people -- and they should all be able to defend nature with ease.

Built With

  • lovable.dev
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