Dukaan

An e-commerce focusing on dynamic and accurate product recommendation system leveraging machine learning algorithms

Gamifying the process of becoming a loyal costumer to our webiste by rewarding users frequently

Enhancing engagement and user experience by attempting to solve common problems faced by our customers

Technologies Used:

⭐️ Django Web Framework - Allows for rapid development, Scalability and versality
⭐️ Python Programming Language - Provides improved code readability and productivity
⭐️ Sci-kit Learn Machine Learning Library - For its ease of intergration and broad range of Algorithms
⭐️ HTML for doucument structure templates and CSS for appealing styling
⭐️ Bootstrap for its fast protyping and vast customization options

How to run the project?

⭐️ Clone the repository in your local machine
⭐️ Download all the dependencies using the provided requirements.txt file
⭐️ Open the terminal in the project's directory where manange.py is situated
⭐️ Run the following command " python3 manage.py runserver"
⭐️ Ctrl + Click on the localhost ip address and the website should appear on your default browser 🌐

How the recomendation works

🤖 Our recommendation system employs user-user collaborative filtering, a technique that recommends products to a target user by identifying and leveraging the interests of similar users.
🤖 We utilize the cosine similarity metric to assess the degree of similarity in user interests, determining how closely their preferences align.

Application Demo

🚀 Website Home Page

🚀 Website's Best Features

🚀 Product page with custom category filter

🚀 Recommendation system that displays products that similar users have given attention to

🚀 Checkout system that conviniently auto redeems your earned coins through platform rewards

🚀 Missing item report feature