AI ML Recommendation Engine

Project Overview

AI ML Recommendation Engine is a machine learning-based web application that analyzes product data and recommends relevant products based on product similarity and user preferences.

Features

• Product recommendation using Machine Learning
• Product similarity-based recommendations
• CSV-based product dataset
• Flask web application
• Simple and user-friendly interface
• Modular recommendation engine

Technologies Used

• Python
• Machine Learning
• Pandas
• Scikit-learn
• Flask
• HTML
• CSS

Project Structure

AI_ML_Recommendation_Engine/ ├── app/ │ ├── app.py │ └── templates/ │ └── index.html ├── data/ │ └── products.csv ├── src/ │ └── recommender.py ├── requirements.txt ├── README.md └── .gitignore

How to Run

1. Clone the repository.
2. Install the required dependencies.
3. Run the Flask application.
4. Open the application in a web browser.
5. Select or enter a product to receive recommendations.

Purpose

The main purpose of this project is to demonstrate the use of Machine Learning techniques to build a practical product recommendation system that helps users discover relevant products efficiently.