| import streamlit as st |
| import numpy as np |
| import pickle |
| import pandas as pd |
| import matplotlib.pyplot as plt |
| import seaborn as sns |
|
|
| |
| model = pickle.load(open("life_expectancy_model.pkl", "rb")) |
|
|
| |
| st.set_page_config( |
| page_title="Life Expectancy Prediction", |
| page_icon="📊", |
| layout="centered", |
| ) |
|
|
| |
| st.markdown(""" |
| <style> |
| .stApp { |
| background-color: #E3F2FD; /* Light Blue Background */ |
| } |
| .title { |
| text-align: center; |
| font-size: 28px; |
| font-weight: bold; |
| color: #2C3E50; |
| } |
| .subtitle { |
| text-align: center; |
| font-size: 30px; |
| font-weight: bold; |
| color: #1E88E5; |
| margin-top: 15px; |
| } |
| .stButton > button { |
| width: 100%; |
| background-color: #1E88E5; |
| color: white; |
| font-size: 16px; |
| font-weight: bold; |
| border-radius: 6px; |
| padding: 8px; |
| transition: 0.3s; |
| } |
| .stButton > button:hover { |
| background-color: #1565C0; /* Darker Blue on Hover */ |
| } |
| .result-box { |
| text-align: center; |
| font-size: 22px; |
| font-weight: bold; |
| color: white; |
| padding: 15px; |
| border-radius: 8px; |
| margin-top: 20px; |
| background-color: #388E3C; |
| } |
| </style> |
| """, unsafe_allow_html=True) |
|
|
| |
| if "current_page" not in st.session_state: |
| st.session_state.current_page = "Model Report" |
|
|
| |
| def switch_page(page): |
| st.session_state.current_page = page |
|
|
| |
| st.sidebar.title("Navigation") |
| if st.sidebar.button("Model Report"): |
| switch_page("Model Report") |
| if st.sidebar.button("Hands-on Model"): |
| switch_page("Hands-on Model") |
|
|
| |
| data = pd.read_csv(" Life Expectancy Data.csv") |
|
|
| |
| if st.session_state.current_page == "Model Report": |
| st.markdown("<h1 class='title'>Model Report</h1>", unsafe_allow_html=True) |
|
|
| st.image("images/Life_Expectanccy.webp", |
| caption="Life Expectancy Prediction Overview", |
| use_container_width=True) |
| |
| st.markdown("<p class='subtitle'>Explore different stages of the Life Expectancy project</p>", unsafe_allow_html=True) |
|
|
| if st.button("▶ **Problem Statement**"): |
| switch_page("Problem Statement") |
| if st.button("▶ **Data Collection**"): |
| switch_page("Data Collection") |
| if st.button("▶ **Simple EDA**"): |
| switch_page("Simple EDA") |
| if st.button("▶ **Data Pre-processing**"): |
| switch_page("Data Pre-processing") |
| if st.button("▶ **Exploratory Data Analysis**"): |
| switch_page("EDA") |
| if st.button("▶ **Model Building**"): |
| switch_page("Model Building") |
| if st.button("▶ **Final Model**"): |
| switch_page("Final Model") |
|
|
|
|
| |
| elif st.session_state.current_page == "Problem Statement": |
| st.markdown("<h1 class='title'>Problem Statement</h1>", unsafe_allow_html=True) |
|
|
| st.markdown(""" |
| <h5 style="text-align: center; margin-top: 20px;"> |
| The Goal of this project is to build a predictive model that estimates the Life Expectancy of a country |
| based on multiple influencing factors such as health indicators, economic conditions, and social parameters. |
| </h5> |
| """, unsafe_allow_html=True) |
|
|
| st.markdown("<br>", unsafe_allow_html=True) |
|
|
| st.image("images/problem_statement.png", |
| caption="Life Expectancy Prediction Overview", |
| use_container_width=True) |
|
|
|
|
| if st.button("🔙 Go Back to Model Report"): |
| switch_page("Model Report") |
|
|
| elif st.session_state.current_page == "Data Collection": |
| st.markdown("<h1 class='title'>Data Collection</h1>", unsafe_allow_html=True) |
|
|
| st.markdown(""" |
| <h5 style="text-align: center; margin-top: 20px;"> |
| The dataset used in this project is sourced from Kaggle, containing information on life expectancy across |
| different countries along with various health, economic, and demographic factors. |
| </h5> |
| """, unsafe_allow_html=True) |
|
|
| st.markdown("<br>", unsafe_allow_html=True) |
|
|
| st.markdown(""" |
| <h5 style="text-align: center; margin-top: 10px;"> |
| 📌 <a href="https://www.kaggle.com/datasets/kumarajarshi/life-expectancy-who" target="_blank" style="font-weight: bold; color: #007BFF; text-decoration: none;"> |
| Click here to access the dataset on Kaggle</a> |
| </h5> |
| """, unsafe_allow_html=True) |
|
|
|
|
| st.markdown("<h2 class='subtitle' style='text-align: center; margin-top: 20px;'>Dataset Overview</h2>", unsafe_allow_html=True) |
| |
| st.markdown(""" |
| <h5 style="text-align: center; margin-top: 15px; margin-bottom: 20px;"> |
| The dataset consists of <b>2938 rows</b> and <b>22 columns</b>, capturing crucial indicators such as life expectancy, |
| mortality rates, GDP, schooling, immunization rates, and more. Below is a summary of the dataset features: |
| </h5> |
| """, unsafe_allow_html=True) |
|
|
| st.markdown("<br>", unsafe_allow_html=True) |
|
|
| data_info = """ |
| <div style= "font-size: 16px; background-color: #F5F5F5; padding: 15px; border-radius: 10px;"> |
| • <b>Country:</b> Name of the country (Categorical)<br> |
| • <b>Year:</b> Year of observation (Numerical)<br> |
| • <b>Status:</b> Developing or Developed country (Categorical)<br> |
| • <b>Life Expectancy:</b> Average age a person is expected to live (Numerical)<br> |
| • <b>Adult Mortality:</b> Probability of dying between 15-60 years per 1000 population (Numerical)<br> |
| • <b>Infant Deaths:</b> Number of infant deaths per 1000 live births (Numerical)<br> |
| • <b>Alcohol:</b> Alcohol consumption per capita (Numerical)<br> |
| • <b>Percentage Expenditure:</b> Government expenditure on health as a percentage of GDP (Numerical)<br> |
| • <b>Hepatitis B:</b> Immunization coverage for Hepatitis B (Numerical)<br> |
| • <b>Measles:</b> Number of reported measles cases per year (Numerical)<br> |
| • <b>BMI:</b> Average Body Mass Index of the population (Numerical)<br> |
| • <b>Under-five Deaths:</b> Number of deaths under the age of five per 1000 live births (Numerical)<br> |
| • <b>Polio:</b> Immunization coverage for Polio (Numerical)<br> |
| • <b>Total Expenditure:</b> Total health expenditure as a percentage of GDP (Numerical)<br> |
| • <b>Diphtheria:</b> Immunization coverage for Diphtheria (Numerical)<br> |
| • <b>HIV/AIDS:</b> Death rate due to HIV/AIDS per 100,000 people (Numerical)<br> |
| • <b>GDP:</b> Gross Domestic Product per capita (Numerical)<br> |
| • <b>Population:</b> Total population of the country (Numerical)<br> |
| • <b>Thinness 1-19 Years:</b> Percentage of thin individuals aged 1-19 years (Numerical)<br> |
| • <b>Thinness 5-9 Years:</b> Percentage of thin individuals aged 5-9 years (Numerical)<br> |
| • <b>Income Composition:</b> Human development index based on income composition (Numerical)<br> |
| • <b>Schooling:</b> Average number of years of schooling (Numerical)<br> |
| </div> |
| """ |
| |
| st.markdown(data_info, unsafe_allow_html=True) |
|
|
| st.markdown("<br>", unsafe_allow_html=True) |
|
|
| if st.button("🔙 Go Back to Model Report"): |
| switch_page("Model Report") |
|
|
| |
| |
| elif st.session_state.current_page == "Simple EDA": |
| st.markdown("<h1 class='title'>Simple Exploratory Data Analysis</h1>", unsafe_allow_html=True) |
|
|
| st.markdown(""" |
| <h5 style="text-align: center; margin-top: 20px;"> |
| Exploratory Data Analysis (EDA) helps in understanding the structure, patterns, and missing values in the dataset. |
| Below is an initial preview of the data, followed by a missing values summary. |
| </h5> |
| """, unsafe_allow_html=True) |
|
|
| st.markdown("<br>", unsafe_allow_html=True) |
|
|
| |
| st.markdown("<h3 class='subtitle' style='text-align: center;'>Sample Dataset</h3>", unsafe_allow_html=True) |
| st.dataframe(data.head()) |
|
|
| st.markdown("<br>", unsafe_allow_html=True) |
|
|
| |
| st.markdown("<h3 class='subtitle' style='text-align: center;'>Missing Values Summary</h3>", unsafe_allow_html=True) |
| |
| missing_values = data.isna().sum().reset_index() |
| missing_values.columns = ["Column Name", "Missing Values"] |
| |
| st.dataframe(missing_values) |
|
|
| st.markdown("<br>", unsafe_allow_html=True) |
|
|
|
|
| if st.button("🔙 Go Back to Model Report"): |
| switch_page("Model Report") |
|
|
| |
| elif st.session_state.current_page == "Hands-on Model": |
| st.title("Hands-on Model") |
| st.write("Provide inputs to predict Life Expectancy.") |
|
|
| col1, col2 = st.columns(2) |
| with col1: |
| year = st.slider("Year", 2000, 2015, 2008) |
| status = st.radio("Status", ["Developing", "Developed"], horizontal=True) |
| status = 1 if status == "Developed" else 0 |
| adult_mortality = st.slider("Adult Mortality Rate", 1, 723, 144) |
| infant_deaths = st.slider("Infant Deaths", 0, 1800, 3) |
| alcohol = st.slider("Alcohol Consumption", 0.01, 17.87, 4.55) |
| percentage_expenditure = st.slider("Percentage Expenditure", 0.0, 19479.91, 738.25) |
| hepatitis_b = st.slider("Hepatitis B Immunization (%)", 1, 99, 83) |
| measles = st.slider("Measles Cases", 0, 212183, 2419) |
| bmi = st.slider("BMI", 1.0, 87.3, 38.3) |
| polio = st.slider("Polio Immunization (%)", 3, 99, 82) |
|
|
| with col2: |
| under_five_deaths = st.slider("Under-Five Deaths", 0, 2500, 4) |
| total_expenditure = st.slider("Total Healthcare Expenditure (%)", 0.37, 17.6, 5.92) |
| diphtheria = st.slider("Diphtheria Immunization (%)", 2, 99, 82) |
| hiv_aids = st.slider("HIV/AIDS Prevalence Rate", 0.1, 50.6, 1.74) |
| gdp = st.slider("GDP per Capita", 1.68, 119172.7, 6611.52) |
| population = st.slider("Population", 34, 1293859000, 10230850) |
| thinness_1_19 = st.slider("Thinness 1-19 years (%)", 0.1, 27.7, 4.83) |
| thinness_5_9 = st.slider("Thinness 5-9 years (%)", 0.1, 28.6, 4.86) |
| income_composition = st.slider("Income Composition of Resources", 0.0, 0.948, 0.63) |
| schooling = st.slider("Schooling (Years)", 0.0, 20.7, 11.99) |
|
|
| if st.button("Predict Life Expectancy"): |
| features = np.array([[year, status, adult_mortality, infant_deaths, alcohol, percentage_expenditure, |
| hepatitis_b, measles, bmi, under_five_deaths, polio, total_expenditure, |
| diphtheria, hiv_aids, gdp, population, thinness_1_19, thinness_5_9, |
| income_composition, schooling]]) |
| |
| prediction = model.predict(features)[0] |
|
|
| st.markdown( |
| f""" |
| <div class="result-box"> |
| Predicted Life Expectancy: <b>{prediction:.2f} years</b> |
| </div> |
| """, |
| unsafe_allow_html=True, |
| ) |
|
|
| if st.button("⬅ **Back to Model Report**"): |
| switch_page("Model Report") |
|
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