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By simply taking a photo, users can make better disposal decisions and contribute to a cleaner environment.\n\n---\n\n## 🚀 Features\n\n- 📸 **AI Waste Scanner**  \n  Open your phone’s camera, take a photo of waste, and let our AI model classify it as **organic** or **recyclable**.\n\n- 🕘 **Scan History**  \n  View all previous scans along with their classification results for easy tracking.\n\n---\n\n## 🧠 How It Works\n\n1. User captures an image using the in-app camera  \n2. Image is processed by a **TensorFlow Lite (TFLite)** model  \n3. Model predicts the waste category  \n4. Result is displayed and saved to scan history  \n\n---\n\n## 🛠️ Tech Stack\n\n### Mobile App\n- **Language:** Kotlin  \n- **UI:** Jetpack Compose  \n- **Platform:** Android  \n\n### Machine Learning\n- **Model Format:** TensorFlow Lite (TFLite)  \n- **Model Training \u0026 Testing:** Google Colab  \n\n---\n\n## 📂 Project Resources\n\n- 📊 **Presentation (PPT):** [Canva Link](https://www.canva.com/design/DAG5xJ7rNus/tKleVOa9vqqznQl83yBjrQ/view?utm_content=DAG5xJ7rNus\u0026utm_campaign=designshare\u0026utm_medium=link2\u0026utm_source=uniquelinks\u0026utlId=h3fa7172187) \n- 🤖 **Model Training Code:** [Colab Link](https://colab.research.google.com/drive/1RQyDJp3FB2okNnVyCJWq5C3n9H07uQud?usp=sharing)  \n- 🧪 **Model Testing Code:** [Colab Link](https://colab.research.google.com/drive/1JacnNU4JD9MSwznnfGRl7crC-aDoPt5W?usp=sharing)\n\n---\n\n## 👥 Team\n\nMade by: Stanley Nathanael Wijaya, Nathaniel Alexander, and Roderich Cavine Chow\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstynw7%2Fcomputer_vision_final_project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fstynw7%2Fcomputer_vision_final_project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstynw7%2Fcomputer_vision_final_project/lists"}