ABAKHAR721/Real-Estate-Price-Estimator-Casablanca-morocco

# Real Estate Price Estimator ## Overview This project is a web application designed to estimate real estate prices in Casablanca, Morocco. Using a pre-trained machine learning model, the application predicts property prices based on various input criteria including type, location, area, number of rooms, current state, and age of the property. ## Features - **Price Estimation:** Predicts the price of a property based on user input. - **User Input Form:** A web form where users can enter details about the property they are interested in. - **Interactive Interface:** Provides an easy-to-use interface for property price estimation. - **Dynamic Predictions:** Updates predictions dynamically based on user inputs. ## Technologies Used - **Backend:** Flask (Python web framework) - **Machine Learning:** scikit-learn (for model prediction) - **Data Handling:** pandas (for data manipulation) - **Frontend:** HTML, CSS, Bootstrap (for styling) - **Model:** Pre-trained model and preprocessor for price prediction ## Setup ### Prerequisites - Python 3.x - pip (Python package installer) ### Installation 1. Clone the repository: ```bash git clone github.com cd Real-Estate-Price-Estimator-Casablanca-morocco