AI-Cairo-Weather

🌸 Cairo Weather Prediction App

A machine learning web application that predicts daily average temperature in Cairo (2009–2025) using meteorological features, built with Python, Scikit-learn, and Streamlit.

🔍 Project Overview

• Performed Exploratory Data Analysis (EDA) on 15+ years of Cairo weather data
• Built and trained a Linear Regression model to predict average daily temperature
• Deployed an interactive Streamlit web app with prediction, advice, and reporting features

🛠 Tech Stack

Python Pandas NumPy Scikit-learn Streamlit Joblib Matplotlib

📊 Features

• Overview — Dataset stats and feature summary
• Prediction — Input weather features to predict temperature
• Weather Advice — Step-by-step tips based on current conditions
• Interactive Report — Visual trends, histograms, and key KPIs

📁 Project Structure

├── app.py # Streamlit app

├── Cairo-Weather.csv # Dataset

├── LinearRegression.pkl # Trained model

├── my_final_project.ipynb # EDA & modeling notebook

└── requirements.txt

▶️ Run Locally

pip install -r requirements.txt
streamlit run app.py

👩‍💻 Developed by

Mennatullah Mohammed Rady — LinkedIn