Upload 6 files

.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+data/Motor_Vehicle_Collisions_-_Crashes_20250430.csv filter=lfs diff=lfs merge=lfs -text
+X_test_ingestion_.csv filter=lfs diff=lfs merge=lfs -text

X_test_ingestion_.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8de2822e32c5e4b9cb85e30983d45c93abdf16d1ed90285f8a8b64c564c2b279
+size 10971517

app.py

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+import streamlit as st
+import pandas as pd
+import pydeck as pdk
+import time
+import joblib
+
+# Load your test data
+X_test = pd.read_csv("/Users/shivendragupta/Desktop/ML Final Project/X_test_ingestion_.csv").rename(columns={"Unnamed: 0": "crash_id"})
+X_crash = pd.read_csv("data/Motor_Vehicle_Collisions_-_Crashes_20250430.csv")  # Must include 'LATITUDE', 'LONGITUDE'
+
+# Load model
+model = joblib.load("model.pkl")
+
+# App title
+st.set_page_config(layout="wide")
+st.title("🚨 Real-Time Crash Reporting (Simulation)")
+
+# Notification/alert placeholder at the very top
+alert_placeholder = st.empty()
+
+# Create layout: map on left (wider), serious crash list on right
+col1, col2 = st.columns([3, 1])  # Increase map size by giving more weight
+
+# Placeholders for dynamic content
+placeholder_map = col1.empty()
+placeholder_table = col1.empty()
+serious_crashes_placeholder = col2.empty()
+
+# Start button
+if st.button("Start Reporting Crashes"):
+    crash_points = []        # For map
+    serious_crashes = []     # For serious crash list
+
+    for index, row in X_test.iterrows():
+        # Get full crash data
+        row_crash = X_crash.iloc[row['crash_id']]
+        lat = row_crash["LATITUDE"]
+        lon = row_crash["LONGITUDE"]
+
+        if pd.isna(lat) or pd.isna(lon):
+            continue
+
+        # Predict severity
+        severity = model.predict(row.iloc[1:].values.reshape(1, -1))[0]
+
+        # Show alert and record serious crash
+        if severity == 1:
+            alert_placeholder.error(
+                f"🚨 Serious Crash Detected! Location: {row_crash['BOROUGH']} on {row_crash['ON STREET NAME']} ({lat:.4f}, {lon:.4f})"
+            )
+            serious_crashes.append({
+                "borough": row_crash["BOROUGH"],
+                "street": row_crash["ON STREET NAME"],
+                "latitude": lat,
+                "longitude": lon
+            })
+            serious_crashes_df = pd.DataFrame(serious_crashes)
+            serious_crashes_placeholder.dataframe(serious_crashes_df)
+        else:
+            alert_placeholder.info("Monitoring for new serious crashes...")
+
+        # Add crash to map points
+        crash_points.append({
+            "lat": lat,
+            "lon": lon,
+            "severity": "Serious Injury" if severity == 1 else "Not Serious",
+            "color": [255, 0, 0] if severity == 1 else [0, 0, 255],
+            "borough": row_crash["BOROUGH"],
+            "street": row_crash["ON STREET NAME"]
+        })
+
+        df_points = pd.DataFrame(crash_points)
+
+        # PyDeck Layer
+        layer = pdk.Layer(
+            "ScatterplotLayer",
+            data=df_points,
+            get_position='[lon, lat]',
+            get_radius=200,
+            get_fill_color='color',
+            pickable=True
+        )
+
+        view_state = pdk.ViewState(latitude=40.75, longitude=-73.95, zoom=10)
+
+        # Update visuals
+        placeholder_map.pydeck_chart(pdk.Deck(layers=[layer], initial_view_state=view_state))
+        placeholder_table.dataframe(df_points)
+
+        time.sleep(5)
+
+    st.success("✅ All crash reports simulated!")

data/Motor_Vehicle_Collisions_-_Crashes_20250430.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d6cde04749a830987012f2839e193c43e41abfbd8f52616b4c0e22908d2069c1
+size 458451404

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1bc6474bbcb554961c9c5167c2da91c822c9c1040363b5f870cd00c4904f885e
+size 1223108

requirements.txt

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+streamlit
+pandas
+pydeck
+scikit-learn
+joblib
+numpy