Merge branch 'main' of https://github.com/SOMNATH0904/machine-learnin…

…g-repos

Air quality analysis and Health Impact score prediction/Webapp.py

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+import pandas as pd
+import numpy as np
+import pickle
+import streamlit as st
+from PIL import Image
+
+# Load the model
+pickle_in = open('model.pkl', 'rb')
+classifier = pickle.load(pickle_in)
+
+# Prediction function
+def prediction(AQI, PM10, PM2_5, NO2, SO2, O3, Temperature, Humidity,
+               WindSpeed, RespiratoryCases, CardiovascularCases,
+               HospitalAdmissions):
+    prediction = classifier.predict(
+        [[float(AQI), float(PM10), float(PM2_5), float(NO2), float(SO2), float(O3), float(Temperature), float(Humidity),
+          float(WindSpeed), float(RespiratoryCases), float(CardiovascularCases), float(HospitalAdmissions)]])
+    return prediction
+
+# Main function to define the webpage
+def main():
+    # Set the title of the app
+    st.title("Air Quality Analysis and Health Impact Score Prediction")
+
+    # Custom CSS for styling
+    st.markdown(
+        """
+        <style>
+        .main {
+            background-color: #f5f5f5;
+            padding: 20px;
+            border-radius: 10px;
+        }
+        h1 {
+            color: #004080;
+            text-align: center;
+        }
+        h2 {
+            color: #FF5733;
+            text-align: center;
+        }
+        .stButton button {
+            background-color: #004080;
+            color: white;
+            border-radius: 10px;
+            padding: 10px 20px;
+        }
+        .stTextInput input {
+            border-radius: 5px;
+            padding: 10px;
+            margin: 5px 0;
+        }
+        .stTextInput input::placeholder {
+            color: grey;
+        }
+        .result {
+            font-size: 24px;
+            color: #004080;
+            font-weight: bold;
+            text-align: center;
+            margin-top: 20px;
+        }
+        .result-box {
+            padding: 20px;
+            border-radius: 10px;
+            margin-top: 20px;
+            text-align: center;
+            font-size: 24px;
+            font-weight: bold;
+        }
+        .result-less {
+            background-color: #d4edda;
+            color: #155724;
+        }
+        .result-average {
+            background-color: #fff3cd;
+            color: #856404;
+        }
+        .result-severe {
+            background-color: #f8d7da;
+            color: #721c24;
+        }
+        .stTextInput label {
+            color: #004080;
+            font-weight: bold;
+        }
+        .description {
+            font-size: 22px;
+            color: #004080;
+            margin-bottom: 20px;
+        }
+        </style>
+        """, unsafe_allow_html=True)
+
+    # Introduction about Air Quality and Health Impact
+    st.markdown("""
+        <div class="description">
+            <h2>Introduction</h2>
+            <p>Air quality significantly affects human health and the environment. Poor air quality can lead to respiratory and cardiovascular diseases,
+            increased hospital admissions, and overall lower quality of life. Monitoring air quality and understanding its impact on health is crucial
+            for implementing measures to improve the environment and public health.</p>
+        </div>
+        """, unsafe_allow_html=True)
+
+    # Input fields in two columns
+    col1, col2 = st.columns(2)
+
+    with col1:
+        AQI = st.text_input("Air Quality Index", placeholder="Enter AQI Value")
+        PM10 = st.text_input("Particulate Matter 10", placeholder="Enter PM10 Value")
+        NO2 = st.text_input("NO2 Score", placeholder="Enter NO2 Score")
+        O3 = st.text_input("O3", placeholder="Enter O3 Score")
+        Humidity = st.text_input("Humidity", placeholder="Enter Humidity")
+        CardiovascularCases = st.text_input("Cardiovascular Cases per month (Default=10)", placeholder="Enter Cardiovascular Cases per month", value="10")
+
+    with col2:
+        PM2_5 = st.text_input("Particulate Matter 2.5", placeholder="Enter PM2.5 Value")
+        SO2 = st.text_input("SO2", placeholder="Enter SO2 Score")
+        Temperature = st.text_input("Temperature", placeholder="Enter Temperature")
+        WindSpeed = st.text_input("Wind Speed", placeholder="Enter Wind Speed")
+        RespiratoryCases = st.text_input("Respiratory Cases per month (Default=10)", placeholder="Enter Respiratory Cases per month", value="10")
+        HospitalAdmissions = st.text_input("Hospital Admissions per month (Default=10)", placeholder="Enter Hospital Admissions per month", value="10")
+
+    result = ""
+
+    # Predict button
+    if st.button("Predict"):
+        result = prediction(AQI, PM10, PM2_5, NO2, SO2, O3, Temperature, Humidity,
+                            WindSpeed, RespiratoryCases, CardiovascularCases, HospitalAdmissions)[0]
+
+        # Determine result box class and message
+        if result < 35:
+            result_class = 'result-less'
+            result_message = 'Less Impacting'
+        elif 36 <= result <= 45:
+            result_class = 'result-average'
+            result_message = 'Average Impacting'
+        else:
+            result_class = 'result-severe'
+            result_message = 'Severely Impacting'
+
+        st.markdown(f'<div class="result-box {result_class}">The output is {result}<br>{result_message}</div>', unsafe_allow_html=True)
+
+        # Summary of the result
+        st.markdown("""
+            <div class="description">
+                <h2>Result Summary</h2>
+                <p>Based on the input data, the predicted health impact score indicates the level of impact due to air quality.</p>
+                <ul>
+                <li> A score less than 35 suggests a less impacting air quality on health.</li> 
+                <li> A score between 35 and 45 indicates an average impact.</li>
+                <li> while a score higher than 45 suggests a severe impact on health.</li>
+                </ul> 
+                <p>It is essential to take necessary measures to mitigate air pollution and improve air quality
+                to reduce health risks.</p>
+            </div>
+            """, unsafe_allow_html=True)
+
+if __name__ == '__main__':
+    main()