import streamlit as st

st.title("✈️ Flight Ticket Price Prediction App")
st.subheader("Welcome to my Machine Learning Project!")

st.markdown("""
## 📌 Project Introduction:
Welcome to the **Flight Ticket Price Prediction App**.  
In this project, I have developed a machine learning model to predict flight ticket prices based on factors such as airline, source, destination, stops, travel class, duration, and more.

I experimented with **multiple regression algorithms** including:
- **Linear Regression**
- **K-Nearest Neighbors (KNN)**
- **Decision Tree**
- **Random Forest**
- **XGBoost**

After comparing their performance using **MAE, RMSE, and R² scores**, the **Random Forest Regressor** was selected as the final model for deployment due to its highest accuracy and lowest errors.

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### 📚 Project Overview:
- Built using Python and Streamlit
- Deployed on Hugging Face Spaces
- Machine Learning Algorithm: **Random Forest Regressor**

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### 👨‍💻 Project by:
**Srikanth Gunti**  
Postgraduate Data Science Student  
Nizam College, Osmania University

---
""")

if st.button('Next'):
    st.switch_page('pages/1_Problem_Statement.py')