Product categorization and product recommendation using Machine Learning

This is an E-Commerce web application based on django framework. It provides basic e-commerce functionalities to users and also includes techniques of product categorization using Naive base classification and product recommendation using Co-sine similarity algorithm.

Authors

• Harshad Rane
• Prem Mevada
• Tejas Mandhare
• Omkar Suryawanshi

Website Overview:

This e-Shop website offers a seamless experience for both buyers and sellers. Users can explore our products, conveniently categorized for easy navigation. If they decide to make a purchase, registration as a customer is required, providing necessary information before proceeding to checkout.

Buyer's Experience:

• Product Categorization: Our website employs an intelligent product categorization system for an organized shopping experience.
• Registration: Buyers need to register to complete purchases, ensuring a personalized shopping journey.
• Recommendation System: Utilizing Cosine Similarity, our platform suggests products based on user browsing and order history, enhancing the shopping experience.

Seller's Experience:

• Vendor Registration: Sellers can register as vendors, providing essential company details. They can add products suitable for a fashion e-commerce platform.
• Automated Categorization: Our system automates product categorization, streamlining the seller's workflow.
• Product and Order Management: Sellers manage registered products and handle customer orders efficiently.
• Payment Processing: Sellers update order statuses for payment release, ensuring a smooth transaction process.

Key Objectives Achieved:

1. Efficient Categorization: Our automated product categorization simplifies the listing process for sellers.
2. Personalized Recommendations: The recommendation system enhances the buyer's journey, suggesting relevant products.
3. Vendor Management: Sellers can seamlessly manage products, orders, and payments on our platform.

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Installation using docker

1. Clone the Repository

git clone https://github.com/TwoPointerr/ProductRecommendation.git
cd ./ProductRecommendation

2. Configure Databse

configure database as per project_clean/settings.py or adjust project_clean/settings.py as per your database configuration

ProductRecommendation/eshop/settings.py

Lines 98 to 113 in 7f048f3

	DATABASES = {
	'default': {
	'ENGINE': 'mssql',
	'NAME': config('name'),
	'USER': config('user'),
	'PASSWORD': config('pass'),
	'HOST': config('host'),
	'PORT': config('port'),
	'OPTIONS': {
	'driver': 'ODBC Driver 17 for SQL Server',
	'MARS_Connection': True,
	'Encrypt': 'yes',
	'TrustServerCertificate': 'no',
	},
	}
	}

3. Spin up Containers

docker-compose up

• Make sure docker is running

Installation on Local

Environment: Python 3 (3.9.5 recommended)

1. Clone the Repository

git clone https://github.com/TwoPointerr/ProductRecommendation.git
cd ./ProductRecommendation

2. Create a Virtual Environment (Optional but Recommended)

# Install virtualenv if not already installed
pip install virtualenv

# Create a virtual environment
python -m venv venv

# Activate the virtual environment
# On Windows
venv\Scripts\activate
# On Unix or MacOS
source venv/bin/activate

3. Install Dependencies

pip install -r requirements.txt

This command installs all the required Python packages specified in the requirements.txt file.

4. Configure Databse

configure database as per project_clean/settings.py or adjust project_clean/settings.py as per your database configuration

ProductRecommendation/eshop/settings.py

Lines 98 to 113 in 7f048f3

	DATABASES = {
	'default': {
	'ENGINE': 'mssql',
	'NAME': config('name'),
	'USER': config('user'),
	'PASSWORD': config('pass'),
	'HOST': config('host'),
	'PORT': config('port'),
	'OPTIONS': {
	'driver': 'ODBC Driver 17 for SQL Server',
	'MARS_Connection': True,
	'Encrypt': 'yes',
	'TrustServerCertificate': 'no',
	},
	}
	}

5. Run Migrations

python manage.py makemigrations
python manage.py migrate

This command applies any pending database migrations.

6. Create a Superuser (Optional)

python manage.py createsuperuser

This command creates a superuser account for administrative access to the Django admin interface.

7. Run the Development Server

python manage.py runserver

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Conclusion:

This e-Shop platform aims to provide a user-friendly and efficient environment for buyers and sellers alike. With streamlined processes, personalized recommendations, and effective vendor management, we strive to offer a comprehensive and satisfying online shopping experience.

Acknowledgements

• Cartzilla Theme