# 🚕 Taxi Demand Prediction Model

## 📌 Description
This repository contains the **best trained machine learning model** for predicting taxi demand.
The model is trained and optimized to ensure **small size (< 1MB)** and good performance.

## 🧠 Model Information
- Task: Taxi demand prediction
- Algorithm: Random Forest Regression
- Framework: Scikit-learn
- Model size: < 1MB
- Input: Numerical features (time, location, demand history, etc.)
- Output: Predicted taxi demand

## 📂 Files
- `model.joblib`: Trained model
- `scaler.joblib`: Feature scaler (if used)
- `app.py`: Demo application
- `requirements.txt`: Required libraries

## ▶️ How to Load the Model
```python
import joblib

model = joblib.load("model.joblib")