Gender-Based Product Recommendation System

A machine learning project designed to recommend products based on users' gender and preferences.

Technologies Used

• Python
• Machine Learning
• Pandas
• Scikit-learn

Project Overview

• Developed a machine learning model to recommend products based on users' gender and preferences.
• Collected and analyzed data to create personalized recommendations using gender-based classification algorithms.
• Implemented various data preprocessing techniques and evaluated models for accuracy, optimizing recommendations for end users.
• Enhanced the user experience by providing tailored suggestions, improving customer satisfaction and engagement.

How to Run the Project

Follow these steps to run the project in your terminal:

# Navigate to the virtual environment
cd env

# Activate the virtual environment
./scripts/activate

# Return to the root directory
cd ..

# Move to the project directory
cd voiceGender

# Run the development server
python manage.py runserver

Repository Link

Explore the project on GitHub: Gender-Based Recommendations System

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