Web UMKM flowers classification for efficient work at florist using CNN

Deskripsi

This project aims to make it easier for users (customers) when buying flowers. Ordinary people usually don't know the names of flowers. With this project, users can upload images of flowers and then the system will predict their names and prices. After that, there is a purchase calculator, so users know how much money they have to spend. Problem: Difficulty in providing accurate flower labels and prices, Customer dissatisfaction due to receiving flowers that do not match their wishes, Less effective because the service takes a long time to identify, Potential losses due to miscalculation of interest prices. Solution: Flower image recognition: Clients can upload flower images and the website will predict the name of the flower using Machine Learning with a CNN model, Flower Price Calculation: Based on the type of flower predicted, the website will display the selling price of flowers and price calculations.