{% extends "base.html" %} {% block title %}Welcome | Traffic Sign Classifier{% endblock %} {% block body_class %}home-page{% endblock %} {% block content %}

Flask + CNN deployment

Traffic sign recognition with user feedback history.

Upload a traffic sign image, classify it with traffic_classifier.h5, and keep every prediction linked to the authenticated user.

deployment.plan
01

Register or login before using the model.

02

Upload a sign image and receive the predicted class.

03

Mark predictions as true or false for later analysis.

04

Review your dashboard and history inside the container database.

Authentication

Each user has an account, a protected classifier page, and a private prediction history.

Model Ready

The app loads traffic_classifier.h5 from the project root during startup.

Feedback Loop

True/false labels are saved with predictions so the dashboard can show reviewed accuracy.

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