FashionistAI

FashionistAI is your personal fashion assistant designed to help you decide what to wear for any occasion. Whether it's an interview, a game day party, or a casual outing, FashionistAI uses the power of AI to provide style recommendations tailored to your wardrobe and the context you select.

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Key Features

1. Add New Item

• Snap a photo of your clothing item and upload it to your virtual wardrobe.
• Automatically classify items using a machine learning model based on:
  • Category (e.g., shirts, pants, dresses)
  • Season (e.g., summer, winter, all-season)
• Build and grow your wardrobe effortlessly.

2. My Wardrobe

• View and manage your clothing collection.
• Organize items by category, season, or personal tags.
• Access your wardrobe anytime, anywhere.

3. Style Recommendations

• Choose a context such as:
  • Formal
  • Casual
  • Party
  • ...
• Get personalized clothing suggestions from an AI model powered by GPT to match your selected occasion.
• Simplify your decision-making process with confidence and style.

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Tech Stack

Backend

• Flask: Powers the API for managing wardrobe data and interfacing with the AI model.
• MongoDB: Stores user data, including wardrobe items and metadata.

Machine Learning

• Kaggle: Trains the machine learning model for clothing classification.
• OpenAI API: Provides GPT-based recommendations for style contexts.

Frontend

• React Native: Delivers a cross-platform mobile app experience, allowing users to access their wardrobe and receive recommendations on the go.

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Getting Started

Prerequisites

• Install Node.js and npm.
• Install Python and pip.
• Set up a MongoDB instance (local or cloud).
• Obtain an API key from OpenAI.

Installation

1. Clone the repository:

   https://github.com/khoacao2k4/fashionistAI.git

2. Navigate to the project directory:

   cd FashionistAI

3. Install backend dependencies:

   pip install -r requirements.txt

4. Install frontend dependencies:

   cd frontend
   npm install

5. Configure environment variables:

   • Create a .env file in the backend directory with:

     MONGO_URI=your_mongodb_connection_string
     DB_NAME=your_db_name
     OPENAI_API_KEY=your_openai_api_key

Running the Application

Backend

1. Start the Flask server:

   python app.py

Frontend

2. Start the React Native app:

   npm start

3. Follow the instructions to launch the app on an emulator or a physical device.

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License

This project is licensed under the MIT License.

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Contact

For questions or feedback, please reach out to cqnhatkhoa@gmail.com or sohamvazirani@gmail.com.

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FashionistAI - Empowering your style, one outfit at a time!