dhanashri9294/Tanzania-Tourism-Prediction-App

## Tanzania Tourism Expenditure Prediction ## Overview This is a Machine Learning web application built using Streamlit. It predicts how much money a tourist is expected to spend when visiting Tanzania. The system helps tourists plan and manage their travel budget efficiently. ## Objectives - Provide accurate estimation of tourism expenditure - Assist tourists in budget planning - Enhance travel decision-making using intelligent prediction ## Features - User-friendly input form - Data preprocessing using OneHotEncoder and StandardScaler - Trained HistGradientBoosting model - Real-time prediction using Streamlit - Clean and interactive UI ## Tech Stack - Python - Streamlit - Scikit-learn - Pandas - NumPy - Joblib ## Project Structure Tanzania-Tourism-Prediction-App/ │ ├── app.py ├── model/ │ └── histgradient-tanzania-tourism-model.pkl ├── preprocessing/ │ ├── scaler.pkl │ └── one-hot-encoder.pkl ├── images/ │ └── tanzania-mount-kilimanjaro.jpg └── README.md ## ⚙️ Installation Steps ### 1 Clone the Repository git clone github.com ### 2️ Create Virtual Environment python -m venv venv ### 3 Activate Environment - Windows: venv\Scripts\activate - Mac/Linux: source venv/bin/activate ### 4️ Install Requirements pip install -r requirements.txt --- ### 8️⃣ Run the Application ```markdown ## ▶️ Run the Application ```bash python -m streamlit run app.py ``` Open in browse at: localhost ### Example Output ```markdown ## Example Output You are expected to spend: from Rs 35,001 to Rs 1,75,000 ``` ## Author - Dhanashree Kamble - ketaki ## License This project is licensed under the MIT License.