Goal: I want to create a visual showcase app that demonstrates our AI damage detection in action. The AI model and Python script already exist – your task is to integrate and visualize it in a simple mock smartphone-style interface. It does not need to be a real Android app, just look and feel like one (e.g., web-based or Python app with UI). Functionality Overview The app should simulate the following user flow: Feature Overview Screen Clean and modern layout. Two buttons: Camera and Gallery (no real camera function needed). Gallery View Shows a few pre-chosen (hardcoded) images. User selects one or more images and clicks Detect. Detection Process When Detect is pressed, the existing Python damage detection script is called. The detection runs on the chosen image(s) and returns the output. Result View Displays the detection results (e.g., bounding boxes, labels, or summary output). Optionally allows to “save” or “view all results” (mocked). Technical Details The AI detection script is already available (you will get it and just call it). No filesystem access or uploads needed — images can be stored locally or hardcoded. Should just look like a smartphone app (mobile-style layout). Technologies flexible: can be done with Python (Tkinter, Streamlit, Gradio, Flask) or web technologies (HTML/CSS/JS). Design Requirements Modern and minimal UI Simple animations or transitions between views Smartphone-like aspect ratio Estimated Time & Budget Estimated time: ~3 hours (using AI-assisted development) Budget: $30 / €25 max Deliverables Working prototype showcasing real AI damage detection Clean, mobile-style UI flow (Overview → Gallery → Detect → Result) Runs locally (no external dependencies) Source files and short setup/readme