---

Virtual Fiton Project

Project Overview

The Virtual Fiton Project aims to create a online cloth fiton platform. This project includes machine learning models for predictive analysis, a web interface for user interaction, and various resources for managing and enhancing user experience.

Project Structure

The project is organized into several key directories and files:

• fitone project resource files

  • Avatars list: Contains avatar images and resources.
  • datasets: Stores datasets used for training machine learning models.
    • model5.csv: Dataset containing data for model training.
    • shirt size.csv: Dataset with information on shirt sizes.

• ML models: Includes machine learning model files and scripts.

• pickel files: Stores serialized machine learning models.

  • predictor.pickle: Pickle file containing the main predictor model.
  • rfcpredictor3.pickle: Pickle file containing another version of the predictor model.

• venv: Python virtual environment containing project dependencies.

  • Include, Lib, Scripts: Standard directories for Python virtual environments.

• website

  • model: Directory containing model files for the web application.
    • predictor.pickle: Pickle file used by the web application.
    • rfcpredictor3.pickle: Another pickle file for the web application.
  • static: Directory for static files like CSS, JavaScript, images, etc.
  • templates: Directory containing HTML templates for the web application.
    • aboutus.html: Page providing information about the project.
    • help.html: Help page for users.
    • index_model1.html: Main page template using the first model.
    • index_model2.html: Main page template using the second model.

• app.py: The main application file for running the web server and handling requests.

• .gitignore: File specifying untracked files to ignore in version control.

• README.md: This file provides an overview of the project and its structure.

• requirements.txt: Lists the Python dependencies required for the project.

How to Run the Project

1. Set up the virtual environment:

   python -m venv venv

2. Activate the virtual environment:

   • On Windows:

     venv\Scripts\activate

   • On macOS/Linux:

     source venv/bin/activate

3. Install dependencies:

   pip install -r requirements.txt

4. Run the application:

   python website/app.py

   Open a web browser and navigate to http://127.0.0.1:6001 to access the application.

Contribution

If you wish to contribute to the project, please follow the guidelines outlined in the CONTRIBUTING.md file (if available). For major changes, please open an issue first to discuss what you would like to change.

License

This project is licensed under the MIT License. See the LICENSE.md file for more details.

Images

home

help

---