ECOQUEST

Inspiration

We were inspired by the idea that sustainability shouldn't feel like a chore; it should feel rewarding and social. People often want to make eco-conscious choices but lack the motivation or structure to do so consistently. We wanted to change that by combining gamification, social competition, and real-world rewards.

What it does

EcoQuest is a gamified platform that encourages sustainable behavior through task-based challenges. Users complete eco-friendly activities, like biking instead of driving or recycling, and earn points. These points allow them to level up, compete with friends, and unlock real discounts at sustainable stores. Users can also submit custom tasks, which our system validates before awarding points.

How we built it

We developed EcoQuest using React.js for the frontend and MongoDB to manage user data and task tracking. On the backend, we integrated custom AI models, one of which analyzes images to verify task completion. This allows us to check for authenticity when users upload photos of their eco-friendly actions. Our tech stack enables smooth, real-time updates and a scalable architecture for future growth.

Challenges we ran into

One major challenge was building an AI model that could accurately analyze a wide range of images for environmental content. Ensuring it wasn't easily tricked while keeping it lightweight for quick feedback was a tough balance. We also had to find creative ways to keep user engagement high without compromising the app’s simplicity.

Accomplishments that we're proud of

We’re proud of the end-to-end experience we built—from AI verification to real-time user progression and store integration. The image analysis feature especially felt like a leap from a basic tracker to a smarter, trust-driven platform. We also designed a system that rewards users in the real world, not just digitally.

What we learned

We learned how to build and deploy AI models in real-world apps, structure gamification loops that feel meaningful, and design an intuitive user experience that motivates positive behavior. Working with image data and ensuring privacy and accuracy was particularly insightful.

What's next for ECOQUEST

We plan to enhance our AI to handle more complex image recognition, integrate more store partnerships for rewards, and build a mobile version of the app. We also want to explore incorporating carbon footprint tracking and long-term goal planning to deepen the impact.

Built With

• react