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An AI-powered mobile app that classifies waste through image recognition, tracks recycling progress, and provides a community-driven social platform for zero-waste lifestyles.

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jekigates/EcoAI

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Eco AI

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Eco AI is a mobile social platform that promotes sustainable living by combining artificial intelligence and community-driven features. The app helps individuals and communities learn about recyclable waste, track their eco-friendly progress, and share their journey toward a zero-waste lifestyle.

The project was developed as a mobile application using modern Android technologies. Before coding, I went through ideation, feature specification, and low-fidelity design. I designed and built the app independently, focusing on AI integration with Gemini, real-time data handling with Firebase, and an engaging UI/UX using Jetpack Compose.

Tech Stack: Kotlin, Jetpack Compose, Firebase, Lottie, Gemini AI, Android Studio.


Key Features

  • AI-Powered Waste Insights → Take a photo of waste and instantly get information such as material type, recyclability, and estimated carbon impact powered by Gemini AI.
  • Track Eco Progress → Monitor your recycling habits with streaks, daily goals, and statistics. See how much carbon you’ve saved and share your progress.
  • Eco Social Feed → Post your recycling achievements, interact with others through comments and likes, and get inspired by the community’s journey.
  • Gamification & Streaks → Stay consistent with streak-based tracking and motivational reminders to build long-term eco-friendly habits.
  • Secure & Easy Access → Supports Firebase authentication for seamless sign-up/login and secure data storage.
  • Modern Android Experience → Built fully with Jetpack Compose and Lottie animations for smooth, modern, and engaging user experience.

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An AI-powered mobile app that classifies waste through image recognition, tracks recycling progress, and provides a community-driven social platform for zero-waste lifestyles.

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