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product_recommendation

بواسطة @x4nth055

18

A Web Application that Uses Customer's Emotion to Recommend Food

عن هذا المشروع

What is this A simple web application that aims to recommend products to customers based on their emotions about other products. This was the final project to finish the 3rd year in university. Requirements Python 3.6+ Flask 1.0.2 for the entire web app passlib 1.7.1 for hashing passwords Keras 2.2.4 for 5-star sentiment analyzer Tensorflow 1.13.1 Keras backend (atleast in my case) FFmpeg for converting wav files to 16000Hz sample rate (install here) SciPy for the recommender system ( Used Matrix-Factorization ) NumPy Pandas Home Page Figure 1: Home page The customer at first is going to register for a new user and fill the form shown in Figure 2, once finished, you can see when he/she clicks at "Recommended Products" in the navigation bar shown in Figure 3, no products and content will be shown, that is because no rating ( or emotion ) has been successfully registered by the customer, the page will show as captured in Figure 4 Figure 2: Registration Form Figure 3: Navigation Bar Figure 4: No products available

من ملف README الخاص بالمشروع على GitHub

النجوم
18
التفريعات
10
الرخصة
MIT
آخر تحديث
01/05/2023

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Made in Algeria
[![Made in Algeria](https://www.madeinalgeria.dev/badge/product-recommendation.svg)](https://www.madeinalgeria.dev/projects/product-recommendation)

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