Daurama is a smart, interactive web application that transforms the confusing chore of recycling into a fun and rewarding experience. Developed as a final project for the Hacktiv8 x IBM bootcamp, Daurama uses AI to identify waste and gamifies the process of learning proper waste management.
- AI-Powered Recognition: Instantly identify waste items by uploading a photo, powered by IBM Granite AI.
- Interactive Learning: A dynamic mini-game challenges you to sort waste into the correct bins, making the learning process engaging and effective.
- Personalized Profile: Track your progress and watch your pixel pet companion level up and evolve as you make an impact.
- Eco-Impact Report: See your personal contributions, including CO2, energy, and water saved, in a comprehensive report dashboard.
- Community Leaderboard: Compete with other users on a local leaderboard to become the ultimate Eco-Hero.
This project was built with a modern and robust technology stack:
- Frontend: HTML, CSS, and Pure JavaScript
- Backend: Node.js with Express.js
- AI Integration: Google Gemini API for visual recognition
- Data Management: User data (history, points, levels) is stored locally using
localStorage—a strategic choice to maintain a lightweight, serverless-style architecture.
Follow these steps to get a local copy of the project up and running.
- Node.js (v14 or higher)
- npm (v6 or higher)
-
Clone the repository:
git clone https://github.com/[GitHub_Username]/Daurama.git cd Daurama -
Install dependencies:
npm install
-
Set up the environment variables:
- Create a
.envfile in thebackend/directory. - Add your Gemini API Key:
GEMINI_API_KEY=[API_KEY_Anda_di_sini]
- Create a
-
Run the server:
npm start
The app will be running at
http://localhost:3000.
This project is configured for easy deployment on Vercel. Simply connect your GitHub repository and set the GEMINI_API_KEY as an environment variable in your Vercel project settings.
Muhammad Rajif Raditya
- Hacktiv8 x IBM Bootcamp
- Google Gemini AI for the powerful API