Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+import random
+import time
+
+st.title("🚀 Astronaut Survival Monitor")
+
+# Simulating real-time data updates
+def get_real_time_data():
+    return {
+        "Heart Rate (BPM)": random.randint(60, 120),
+        "Oxygen Saturation (%)": round(random.uniform(85, 100), 1),
+        "Blood Pressure (mmHg)": f"{random.randint(90, 120)}/{random.randint(60, 80)}",
+        "Respiratory Rate (BPM)": random.randint(12, 20),
+        "Hydration Level (%)": round(random.uniform(40, 100), 1),
+        "Battery Level (%)": random.randint(10, 100),
+        "Food Supply (Days)": random.randint(1, 10),
+        "Water Supply (Liters)": random.randint(1, 50),
+    }
+
+# Survival Time Prediction
+def predict_survival_time(data):
+    oxygen_factor = data["Oxygen Saturation (%)"] / 100
+    hydration_factor = data["Hydration Level (%)"] / 100
+    battery_factor = data["Battery Level (%)"] / 100
+    food_factor = data["Food Supply (Days)"] / 10
+
+    survival_hours = (oxygen_factor + hydration_factor + battery_factor + food_factor) * 10
+    return round(survival_hours, 2)
+
+# Real-time simulation
+data = get_real_time_data()
+survival_time = predict_survival_time(data)
+
+st.metric("Predicted Survival Time", f"{survival_time} Hours")
+
+# Display real-time health and resource data
+st.write("### Health Metrics")
+for key, value in data.items():
+    st.metric(key, value)
+
+if data["Oxygen Saturation (%)"] < 90 or data["Battery Level (%)"] < 20:
+    st.warning("🚨 Alert: Low Oxygen or Power Levels Detected!")