blessyn-stack/RecycLens

RecycLens is an AI-powered prototype that helps urban residents in Nigeria and Ghana quickly identify and sort household waste. It provides simple disposal guidance for plastics, paper, glass, metal, and non-recyclables. Built with Lovable.ai, Google Teachable Machine, and TensorFlow Lite. **Overview** # RecycLens RecycLens is an AI-powered prototype that helps urban residents in Nigeria and Ghana quickly identify and sort household waste. It provides simple disposal guidance for plastics, paper, glass, metal, and non-recyclables. Built with Lovable.ai, Google Teachable Machine, and TensorFlow Lite. RecycLens is designed to help users in Nigeria and Ghana identify and correctly sort household waste. Using AI image recognition, the app classifies common waste items and provides clear disposal guidance to promote responsible recycling. ### Objectives - Demonstrate the feasibility of AI-guided waste sorting using a fast, offline-first model. - Enable users to identify household waste categories through image classification. - Provide actionable disposal instructions to encourage proper recycling habits. ### In Scope - AI image recognition for Plastic, Paper, Glass, Metal, and Non-Recyclable waste. - Clear disposal guidance for each item. - Offline functionality using TensorFlow Lite. - Scan history stored locally for users. - Simple mobile UI built with Lovable no-code platform. - Support for Android and iOS devices (prototype level). ### Out of Scope - Real-time map integration with recycling centers. - Cloud-based dashboards or analytics. - Gamification, rewards, or social features. - Multi-language support (English only for MVP). - Government or policy-level recycling compliance features. ### Target Users - Urban residents, students, young professionals, and eco-conscious individuals in Nigeria and Ghana. - Anyone seeking a quick and reliable way to sort household waste. ### Success Metrics - ≥80% accurate AI classification. - ≤5 seconds image-processing time. - High user satisfaction (≥85% during testing). - Lightweight app size (<50MB). ### Technologies & Resources - Google Teachable Machine – AI model training - TensorFlow Lite – offline model conversion - Lovable.ai – no-code app builder - Mobile device storage – offline scan history