saylaan / ai_recommendation-dashboard_2022

App for a Recommendation Dashboard using AI

Getting Started

A system of product recommendations was created based on a dataset provided, which contained the product purchases from a wide range of clients. The system itself takes a client ID, and returns a list of recommended products. Two different algorithms are offered: The first is a collaborative based filtering method, which creates a rank for each product purchased by each client; the second is a content based method using NLP to detect similarity between product titles. The resulting recommendations are provided with a categorical weighted average. Keywords: Collaborative filtering, item based, Artificial Intelligence

For having more information about the project and the methodology, please see the document "Report.pdf" in the root of the project

Launch Front-end interface

This application is made with the framework React

1. First, you need to go to the front directory cd /app

2. Then you need to install all dependencies npm install

3. After the project installation you can launch the app npm start

Launch Back-end infrastructure

The infrastructure is made in Python with Flask framework

1. First, you need to go to the infrastructure directory cd /server

2. Then, you need to install all dependencies pip install -r requirements.txt

3. If you have any missing module during the installtion. Just run the command pip install name_module

4. After the project installation is complete, you can launch the app python run.py