WasteWise
Camera-to-classification waste guidance through Flutter and a deployed ML API
A cross-platform waste-sorting application that captures or uploads an image, sends it to a FastAPI inference service, and returns YOLO-based classification guidance to the mobile client.
The 15-second brief
At a glance
- Outcome
- Connected mobile image capture to a containerized inference service, turning a waste photo into an actionable sorting result through one end-to-end workflow.
- Delivery
- Prototype, 2025
- Focus
- Full-Stack, Mobile, ML
- Scope
- 8 core technologies
Ownership and evidence
What I built
The product decisions and engineering work that shaped the final result.
Built Flutter mobile app with camera integration and image upload functionality
Developed FastAPI backend with stateless REST APIs for image preprocessing and ML inference
Deployed containerized backend on Railway with horizontal scaling capability
Implemented YOLO-based classification model with optimized inference pipeline
Product evidence
See it in action
Interface views and demonstrations from the working product.
Visual assets are not published for this project. The verified delivery and engineering scope are documented above.