Objective

The objective of this project is to develop an advanced Amazon product recommendation system that provides personalized recommendations, similar products, and complementary products to users based on their selected item. The system aims to enhance the shopping experience by offering relevant and high-quality recommendations tailored to each user's preferences.

Development Time

This project took approximately one month to complete. The development time may vary depending on the complexity of the system and the availability of resources.

Pricing

The cost for creating a similar product recommendation system can vary depending on various factors such as the scope of the project, specific requirements, and additional features. For pricing inquiries and project consultations, please contact us at mohammedkayser143@gmail.com

Tools Used

The Amazon Product Recommendation System was built using the following tools and technologies:

• Python: A versatile programming language used for data processing, recommendation algorithms, and web development.
• Flask: A lightweight web framework used for building the user interface and handling HTTP requests.
• Pandas: A powerful data manipulation library used for data preprocessing and analysis.
• HTML/CSS: Markup languages used for creating the web pages and styling the user interface.
• JavaScript: A programming language used for enhancing interactivity and dynamic features on the website

Project Ownership

This project was developed by Mohammed Kayser . It was either completed as an individual project , if needed for any organization or client it is ready . For more information or collaboration opportunities, please feel free to reach out to us.