https://github.com/stynw7/computer_vision_final_project
Computer Vision Final Project Assignment
https://github.com/stynw7/computer_vision_final_project
android computer-vision fastapi google-colab jetpack-compose kotlin python tensorflow-lite
Last synced: 5 months ago
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Computer Vision Final Project Assignment
- Host: GitHub
- URL: https://github.com/stynw7/computer_vision_final_project
- Owner: StyNW7
- Created: 2025-11-24T03:25:46.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2026-01-16T06:50:34.000Z (5 months ago)
- Last Synced: 2026-01-16T19:10:17.775Z (5 months ago)
- Topics: android, computer-vision, fastapi, google-colab, jetpack-compose, kotlin, python, tensorflow-lite
- Language: Kotlin
- Homepage:
- Size: 326 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# ♻️ Wastify
Wastify is an Android application that helps users identify whether waste is **organic** or **recyclable** using AI-powered image classification. By simply taking a photo, users can make better disposal decisions and contribute to a cleaner environment.
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## 🚀 Features
- 📸 **AI Waste Scanner**
Open your phone’s camera, take a photo of waste, and let our AI model classify it as **organic** or **recyclable**.
- 🕘 **Scan History**
View all previous scans along with their classification results for easy tracking.
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## 🧠 How It Works
1. User captures an image using the in-app camera
2. Image is processed by a **TensorFlow Lite (TFLite)** model
3. Model predicts the waste category
4. Result is displayed and saved to scan history
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## 🛠️ Tech Stack
### Mobile App
- **Language:** Kotlin
- **UI:** Jetpack Compose
- **Platform:** Android
### Machine Learning
- **Model Format:** TensorFlow Lite (TFLite)
- **Model Training & Testing:** Google Colab
---
## 📂 Project Resources
- 📊 **Presentation (PPT):** [Canva Link](https://www.canva.com/design/DAG5xJ7rNus/tKleVOa9vqqznQl83yBjrQ/view?utm_content=DAG5xJ7rNus&utm_campaign=designshare&utm_medium=link2&utm_source=uniquelinks&utlId=h3fa7172187)
- 🤖 **Model Training Code:** [Colab Link](https://colab.research.google.com/drive/1RQyDJp3FB2okNnVyCJWq5C3n9H07uQud?usp=sharing)
- 🧪 **Model Testing Code:** [Colab Link](https://colab.research.google.com/drive/1JacnNU4JD9MSwznnfGRl7crC-aDoPt5W?usp=sharing)
---
## 👥 Team
Made by: Stanley Nathanael Wijaya, Nathaniel Alexander, and Roderich Cavine Chow