I need an Android application that uses on-device image recognition to tell users, the moment they point their camera at an item, whether it is recyclable and what they can do with it next. The flow is simple: camera opens, the model recognises the object, and the app instantly shows tailored suggestions—creative DIY craft ideas, directions to the nearest recycling facilities, and concise step-by-step recycling instructions. No saving for later; guidance appears on the spot so the user can decide immediately. I am happy for you to leverage TensorFlow Lite, ML Kit or a similarly lightweight vision library, as long as it runs smoothly on recent Android phones without an internet connection. The recognition model should cover common household waste (plastic bottles, glass jars, cans, paper, cardboard, etc.) and be easy for me to update with new classes later. Deliverables: • Full Android Studio project (Kotlin or Java) with clean, commented source code • Pre-trained image recognition model integrated and working offline • UI/UX that launches straight to the camera and displays results in under two seconds • A suggestions module populated with at least 20 DIY craft ideas, local facility lookup via open data or API, and clear recycling instructions • Brief README explaining model training pipeline and how to add more items I will test on a mid-range Android device; acceptance is based on recognition accuracy, speed, and the quality of the immediate suggestions. Looking forward to seeing how you can turn everyday waste into useful possibilities.