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import streamlit as st
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st.title("π§ Student Depression Classification")
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st.subheader("Welcome to my Machine Learning Project!")
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st.markdown("""
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π **Project Introduction:**
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This application predicts whether a student is likely to experience depression based on academic, psychological, and lifestyle factors.
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The model is trained using a **K-Nearest Neighbors (KNN)** Classifier and deployed through an interactive **Streamlit web interface**.
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This project demonstrates the real-world application of machine learning for mental health prediction and awareness.
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""")
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st.markdown("""
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π **Project Overview:**
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- Built using **Python**, **Pandas**, **Scikit-learn**, and **Streamlit**
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- Machine Learning Algorithm: **K-Nearest Neighbors (KNN) Classifier**
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- Trained on a cleaned and preprocessed student mental health dataset
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- Includes data cleaning, encoding, scaling, and model evaluation
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""")
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st.markdown("""
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π¨βπ» **Project by:**
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**Sai Praneeth Marripelli**
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Postgraduate MCA Student
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**Nizam College, Osmania University**
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""")
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if st.button("Next"):
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st.switch_page("pages/1 Problem Statement.py") |