Footwear E-commerce Application

A Flutter-based e-commerce application for footwear enthusiasts. This project consists of two separate mobile applications:

• Footwear Client Application - For users to browse, classify, and purchase shoes.
• Footwear Admin Application - For admins to manage products, prices, and inventory.

This repository also includes a Backend AI/ML codebase that powers a shoe classification feature using a custom-trained CNN model.

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Table of Contents

• About the Project
• Features
  • Client Application
  • Admin Application
  • Backend AIML
• Tech Stack
• Installation
• Usage
• Dataset
• Contact

About the Project

This repository is a complete solution for a footwear e-commerce platform with AI-powered features:

• The Client Application allows users to register, log in, browse products, classify shoes using images, and make purchases.
• The Admin Application enables product management, including uploading shoe images, setting prices, and managing inventory via Firebase.
• The AI Backend uses a custom-trained CNN model to classify shoe types into one of five categories:
• ['Ballet Flat', 'Boat', 'Brogue', 'Clog', 'Sneaker']

Features

Client Application

• User registration and login.
• Browse and search shoes from Firebase.
• AI-based shoe classification using uploaded or captured images.
• Categorization of shoes into:
• Ballet Flat, Boat, Brogue, Clog, Sneaker
• Add products to the cart and make purchases.

Admin Application

• Upload products with details (images, price, category).
• Manage inventory and prices using Firebase.

Backend AIML

• Custom CNN model trained on 13,000 shoe images.
• Model classifies shoe types into five categories.
• Dataset link provided in the Backend AIML code folder.

Tech Stack

• Frontend: Flutter, Dart
• Backend: Python (for AI model)
• Database: Firebase (Firestore for real-time database, Firebase Storage for images)

Installation

Backend AIML

1. Navigate to the Backend AIML code folder.
2. Install required dependencies:

pip install -r requirements.txt

Usage

1 . Admins can use the Admin Application to upload products and manage inventory.

• Users can:
• Browse products in the Client Application.
• Upload or capture shoe images for AI-based classification.
• Add products to the cart and complete purchases.

Dataset

• The shoe classification model was trained on a dataset of 13,000 shoe images.
• You can find the dataset on Kaggle: Dataset Link

Contact

• If you have any questions or suggestions, feel free to contact me at:

• Email: [email protected]

• Email: [email protected]

• GitHub: Harsh772005