Upload 5 files

.gitattributes

@@ -1,35 +1,38 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
-*.npz filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.wasm filter=lfs diff=lfs merge=lfs -text
-*.xz 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
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz 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
+*.keras filter=lfs diff=lfs merge=lfs -text
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text

Dockerfile

@@ -1,20 +1,20 @@
-FROM python:3.13.5-slim
-
-WORKDIR /app
-
-RUN apt-get update && apt-get install -y \
-    build-essential \
-    curl \
-    git \
-    && rm -rf /var/lib/apt/lists/*
-
-COPY requirements.txt ./
-COPY src/ ./src/
-
-RUN pip3 install -r requirements.txt
-
-EXPOSE 8501
-
-HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
-
-ENTRYPOINT ["streamlit", "run", "src/streamlit_app.py", "--server.port=8501", "--server.address=0.0.0.0"]
+FROM python:3.13.5-slim
+
+WORKDIR /app
+
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    curl \
+    git \
+    && rm -rf /var/lib/apt/lists/*
+
+COPY requirements.txt ./
+COPY src/ ./src/
+
+RUN pip3 install -r requirements.txt
+
+EXPOSE 8501
+
+HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
+
+ENTRYPOINT ["streamlit", "run", "streamlit_app.py", "--server.port=8501", "--server.address=0.0.0.0"]

README.md

@@ -1,19 +1,19 @@
----
-title: Smart Election Verification
-emoji: 🚀
-colorFrom: red
-colorTo: red
-sdk: docker
-app_port: 8501
-tags:
-- streamlit
-pinned: false
-short_description: Streamlit template space
----
-
-# Welcome to Streamlit!
-
-Edit `/src/streamlit_app.py` to customize this app to your heart's desire. :heart:
-
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
+---
+title: Smart Election Verification
+emoji: 🚀
+colorFrom: red
+colorTo: red
+sdk: docker
+app_port: 8501
+tags:
+- streamlit
+pinned: false
+short_description: Streamlit template space
+---
+
+# Welcome to Streamlit!
+
+Edit `/src/streamlit_app.py` to customize this app to your heart's desire. :heart:
+
+If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
+forums](https://discuss.streamlit.io).

requirements.txt

@@ -1,3 +1,3 @@
-altair
-pandas
+altair
+pandas
 streamlit

streamlit_app.py

@@ -0,0 +1,226 @@
+import streamlit as st
+import cv2
+import numpy as np
+import pandas as pd
+import tensorflow as tf
+
+from src.siamese_model import build_siamese_model
+from src.inference import verify_images
+
+# ==============================
+# PAGE CONFIG
+# ==============================
+st.set_page_config(
+    page_title="Smart Election Verification System",
+    page_icon="🗳️",
+    layout="centered"
+)
+
+st.title("🗳️ Multimodal Biometric verification System")
+
+# ==============================
+# GLOBAL CONSTANTS
+# ==============================
+IMG_SIZE = 128
+THRESHOLD = 0.5
+
+# ==============================
+# MODE SELECTION (MUST BE FIRST)
+# ==============================
+MODE = st.selectbox(
+    "Select Verification Mode",
+    ["Iris Verification", "Fingerprint Verification"]
+)
+
+# ==============================
+# MODEL LOADING
+# ==============================
+model_path = (
+    "models/iris_siamese.keras"
+    if MODE == "Iris Verification"
+    else "models/finger_siamese.keras"
+)
+
+@st.cache_resource
+def load_model(path):
+    model = build_siamese_model()
+    model.load_weights(path)
+    return model
+
+model = load_model(model_path)
+
+# ==============================
+# SIDEBAR – DATASET INSPECTOR
+# ==============================
+st.sidebar.header("📂 Dataset Inspector")
+
+csv_path = (
+    "pairs/iris_pairs.csv"
+    if MODE == "Iris Verification"
+    else "pairs/finger_pairs.csv"
+)
+
+if st.sidebar.checkbox("View Pair Dataset"):
+    df = pd.read_csv(csv_path)
+
+    st.subheader("📊 Full Pair Dataset")
+    st.write(f"Total Pairs: {len(df)}")
+    st.write(
+        f"Genuine: {df['label'].sum()} | "
+        f"Impostor: {len(df) - df['label'].sum()}"
+    )
+
+    # ===== INTERACTIVE TABLE =====
+    selection = st.dataframe(
+        df,
+        use_container_width=True,
+        selection_mode="single-row",
+        on_select="rerun"
+    )
+
+    # ===== ROW CLICK → IMAGE VIEW =====
+    if selection and selection["selection"]["rows"]:
+        row_idx = selection["selection"]["rows"][0]
+        row = df.iloc[row_idx]
+
+        img1 = cv2.imread(row["img1"], cv2.IMREAD_GRAYSCALE)
+        img2 = cv2.imread(row["img2"], cv2.IMREAD_GRAYSCALE)
+
+        st.subheader("🖼️ Selected Pair Visualization")
+
+        st.image(
+            [img1, img2],
+            caption=["Image 1", "Image 2"],
+            width=220
+        )
+
+        st.info(
+            "Label: "
+            + ("✅ Same Person" if row["label"] == 1 else "❌ Different Person")
+        )
+
+# st.sidebar.header("📂 Dataset Inspector")
+
+# df = None  # SAFE DEFAULT
+
+# if st.sidebar.checkbox("View Pair Dataset"):
+#     csv_path = (
+#         "pairs/iris_pairs.csv"
+#         if MODE == "Iris Verification"
+#         else "pairs/finger_pairs.csv"
+#     )
+
+#     df = pd.read_csv(csv_path)
+
+#     st.subheader("🔍 Dataset Preview")
+#     st.write(f"Total Pairs: {len(df)}")
+#     st.write(f"Genuine: {df['label'].sum()} | Impostor: {len(df) - df['label'].sum()}")
+
+#     st.dataframe(df.head(20), use_container_width=True)
+
+# if df is not None and st.sidebar.checkbox("View Sample Image Pairs"):
+#     sample = df.sample(1).iloc[0]
+
+#     img1 = cv2.imread(sample["img1"], cv2.IMREAD_GRAYSCALE)
+#     img2 = cv2.imread(sample["img2"], cv2.IMREAD_GRAYSCALE)
+
+#     st.image([img1, img2], caption=["Image 1", "Image 2"], width=200)
+#     st.write("Label:", "Same Person" if sample["label"] == 1 else "Different Person")
+
+# ==============================
+# SIDEBAR – MODEL INFO
+# ==============================
+
+def get_model_summary(model):
+    summary = []
+    model.summary(print_fn=lambda x: summary.append(x))
+    return "\n".join(summary)
+
+st.divider()
+st.subheader("🧠 Model Information")
+
+show_model_info = st.checkbox("Show Model Information")
+
+if show_model_info:
+
+    # ===== Model Architecture =====
+    with st.expander("📐 Architecture Summary", expanded=False):
+        st.code(get_model_summary(model), language="text")
+
+    # ===== Model Statistics =====
+    with st.expander("📊 Model Statistics", expanded=True):
+        col1, col2 = st.columns(2)
+
+        with col1:
+            st.metric("Input Shape", "128 × 128 × 1")
+            st.metric("Embedding Size", "128")
+
+        with col2:
+            st.metric("Total Parameters", f"{model.count_params():,}")
+            st.metric(
+                "Trainable Parameters",
+                f"{sum(tf.size(w).numpy() for w in model.trainable_weights):,}"
+            )
+
+if st.sidebar.checkbox("Show Model Stats"):
+    st.write("**Input Shape:**", model.input_shape)
+    st.write("**Output Shape:**", model.output_shape)
+    st.write("**Parameters:**", model.count_params())
+
+if st.checkbox("Show Model Diagram"):
+    tf.keras.utils.plot_model(
+        model,
+        show_shapes=True,
+        expand_nested=True,
+        to_file="siamese_architecture.png"
+    )
+    st.image("siamese_architecture.png", caption="Siamese Network Architecture")
+
+# ==============================
+# SIDEBAR – SYSTEM STATUS
+# ==============================
+st.sidebar.header("⚙️ System Status")
+st.sidebar.write("Mode:", MODE)
+st.sidebar.write("Threshold:", THRESHOLD)
+st.sidebar.write("Model Loaded:", "✅ Yes")
+st.sidebar.write("Framework:", "TensorFlow + Streamlit")
+
+# ==============================
+# IMAGE UPLOAD & VERIFICATION
+# ==============================
+st.subheader("🔐 Identity Verification")
+
+img1_file = st.file_uploader("Upload Registered Image", type=["jpg", "png"])
+img2_file = st.file_uploader("Upload Live Image", type=["jpg", "png"])
+
+def preprocess(img):
+    img = cv2.resize(img, (IMG_SIZE, IMG_SIZE))
+    img = img / 255.0
+    img = np.expand_dims(img, axis=-1)
+    img = np.expand_dims(img, axis=0)
+    return img
+
+if img1_file and img2_file:
+    img1 = cv2.imdecode(
+        np.frombuffer(img1_file.read(), np.uint8),
+        cv2.IMREAD_GRAYSCALE
+    )
+    img2 = cv2.imdecode(
+        np.frombuffer(img2_file.read(), np.uint8),
+        cv2.IMREAD_GRAYSCALE
+    )
+
+    p1 = preprocess(img1)
+    p2 = preprocess(img2)
+
+    similarity = model.predict([p1, p2])[0][0]
+    verified = similarity > THRESHOLD
+
+    st.image([img1, img2], caption=["Registered", "Live"], width=200)
+    st.metric("Similarity Score", f"{similarity:.4f}")
+
+    if verified:
+        st.success("✅ VERIFIED – VOTE ALLOWED")
+    else:
+        st.error("❌ NOT VERIFIED – ACCESS DENIED")
+