FashionGen

Your Style, Your Story: Fashion Reimagined with GenAI

FashionGen is a GenAI-powered fashion platform that redefines online shopping by making it personal, inclusive, and engaging. With features like personalized outfit recommendations, a virtual try-on, and culturally resonant style suggestions, FashionGen adapts to diverse backgrounds and speaks your language. Users can explore trends, receive real-time fashion advice, and shop effortlessly through Amazon, creating a truly global fashion experience.

Key Features

• Personalized Style Recommendations
• Conversational AI for Multilingual Fashion Advice
• Virtual Try-On for Confidence in Purchases
• Up-to-Date Fashion Trends
• Amazon Integration for Easy Shopping
• Cultural Sensitivity with Upcoming Festive Suggestions

Technologies Used

ReactJS, Node.js, Flask, MongoDB, SQL, Firebase, OpenAI, Stable Diffusion, Gemini

---

Project Setup Guide

Dataset

1. Download the dataset from Kaggle.
2. Extract the downloaded dataset in website/server/product_images.
3. Copy the images folder from the extracted dataset (fashion-dataset) to website/server/product_images.

Recommendation Model

1. Download the trained model zip file from Google Drive.
2. Extract the zip file in flaskApi/models/.

Flask Server

1. Navigate to Flask API Directory

   cd flaskApi

2. Create Python Virtual Environment

   python -m venv env

3. Activate Virtual Environment On macOS/Linux:

   source env/bin/activate

   On Windows:

   env/Scripts/activate

4. Install Requirements

   pip install -r requirements.txt

5. Set Up Environment Variables Create a .env file in the flaskApi directory to store environment variables.

   touch .env

   Add the following environment variables to the .env file.

   OPENAI_API_KEY=
   GEMINI_API_KEY=
   SEGMIND_API_KEY=

6. Run Flask Server

   python app.py

MYSQL Database Setup

1. Ensure MySQL is installed and running on your system

2. In the MySQL client, create a new database for the project

   CREATE DATABASE fashionkart;

3. Import the fashionkart.sql file located in the root directory to set up the initial database structure and sample data

   mysql -u username -p fashionkart < fashionkart.sql

   Replace username with your MySQL username and provide your password when prompted.

Website Server

1. Navigate to Website Server Directory

   cd website/server

2. Install Dependencies

   npm install

3. Run Development Server

   npm run dev

Access the website

Visit http://localhost:8000/ in your web browser to access.