In this current era of modern online shopping we will develop a web application that will have one thing unique that you will get stuff according to current city weather; stuff can be clothes, shoes and cosmetics. This web application will suggest products to the customer according to city?s current
Weather Based Smart Shopping by using Deep Learning Algorithm
In this current era of modern online shopping we will develop a web application that will have one thing unique that you will get stuff according to current city weather; stuff can be clothes, shoes and cosmetics. This web application will suggest products to the customer according to city’s current weather and not only this but will also helpful in time saving.
Now Customer will not have any hurdle while searching for desired clothes, shoes and cosmetics when weather gets changed. Whenever we visit any ecommerce platform to buy stuff for hot or cold weather, sunny or rainy weather, we have to search manually for it which is very time consuming. Our web application will be so smart that products will be displayed according to the changing weather of your city.
•Customer can purchase stuff online on the basis of weather change.
•E-Commerce store can invest on the products that are most preferred on the basis of sales record generated at the admin panel.
Steps of Implementation:
•Development of Ecommerce web application using Django Framework in PyCharm IDE.
•Collection of Dataset from different Ecommerce websites using Web Scraping/Google Dataset/Kaggle.
•Training of model with products images dataset by using Convolutional Neural Network (CNN) Algorithm to predict the products based on weather change.
•Deployment of trained neural network model in a web application.
•Embedding Weather API in our trained Model.
•Testing and Verifying our model’s performance in our web application.
•This E-Commerce application will save the time of online shopping customers.
•Our E-Commerce platform will provide 24/7 service to the customers and on the company side, will help to make more sales.
•We can also scale our project later on according to our needs and requirements as per the demands of our users.
An E-Commerce Web Application with a weather based smart shopping feature.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Graphics Processing Unit | Equipment | 1 | 20000 | 20000 |
| Weather API | Equipment | 1 | 15000 | 15000 |
| Stationary | Miscellaneous | 100 | 100 | 10000 |
| Total in (Rs) | 45000 |
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