Design and develop an online portal where a customer can register to the nearby retailer and order daily need items. Develop the provision for the online payment system for home delivery.
How to map the customer with the nearest retailer shop?
- PHP
- Python
- MySQL
- HTML
- CSS
- Download the project and keep it in xampp folder for your system
- Run Xampp control panel and run apache and mysql
- Open localhost in your browser and then open phpMyAdmin
- Create a new database onlinestore and import tables from the database/onlinestore.sql file
- Now open localhost/xampp/onlinestore in your browser
- Customer can register/login into the portal.
- He/she can search for product according to his/her need.
- The customer can place the order in basket.
- Retailer can login on the portal.
- Retailer can see the orders placed by the customer.
- Retailer have choice to deliver the product items to customer address .
- A customer can login if he/she already has an account.
- Otherwise, they can register by clicking on Register link
- Similarly, a retailer can login by clicking on Retailer link on menu bar
- Address (coordinates) of the customer is picked automatically once the customer pin points his/her location in the map.
- This address is used to map the customer to the nearest retailer.
- Upon successfull registration, the customer gets Rs 1000 in his/her wallet
- After login, the customer can see his/her name and the balance in the wallet in the menu bar
- He/She can search product and place order
- With each order or cancellation of order, the balance of the wallet is updated accordingly
- If the balance is not sufficient, the customer won't be able to order
- A customer can search products and put them into basket
- All the products added by customer will be in the basket. These products will be delivered.
- The customer can change the number of quantity or remove the product from the basket. The balance in the wallet will be updated accordingly.
- Once retailer logs in, he/she can see all the orders to be delivered to the customers. He can deliver the product by clicking on deliver button
- Using naïve approach, finding all the distances and taking minimum distance would take O(n) time.
- For reducing T.C. we stored the coordinates of retailer in the K-Dimensional tree. Here we took 2D tree because we had only latitude and longitudes.
- Insert in 2D tree takes O(log n) time and searching nearest retailer to a customer will also take O(log n) time.
- https://www.datasciencecentral.com/profiles/blogs/implementing-kd-tree-for-fast-range-search-nearest-neighbor
- https://en.wikipedia.org/wiki/Nearest_neighbor_search
- https://en.wikipedia.org/wiki/Geographical_distance
- https://en.wikipedia.org/wiki/Haversine_formula
- https://www.geeksforgeeks.org/k-dimensional-tree/
You feedbacks are always welcome. Thanks for reading.
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