import streamlit as st

# Page Title
st.title("🧠 Student Depression Classification")

# Subheader
st.subheader("Welcome to my Machine Learning Project!")

# Introduction
st.markdown("""
📌 **Project Introduction:**
This application predicts whether a student is likely to experience depression based on academic, psychological, and lifestyle factors.

The model is trained using a **K-Nearest Neighbors (KNN)** Classifier and deployed through an interactive **Streamlit web interface**.

This project demonstrates the real-world application of machine learning for mental health prediction and awareness.
""")

# Overview
st.markdown("""
📚 **Project Overview:**
- Built using **Python**, **Pandas**, **Scikit-learn**, and **Streamlit**  
- Machine Learning Algorithm: **K-Nearest Neighbors (KNN) Classifier**  
- Trained on a cleaned and preprocessed student mental health dataset  
- Includes data cleaning, encoding, scaling, and model evaluation
""")

# Author
st.markdown("""
👨‍💻 **Project by:**  
**Sai Praneeth Marripelli**  
Postgraduate MCA Student  
**Nizam College, Osmania University**
""")

if st.button("Next"):
    st.switch_page("pages/1 Problem Statement.py")