Create app.py

app.py

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+from PIL import Image
+import numpy as np
+import cv2
+import requests
+import face_recognition
+import os
+import streamlit as st
+
+# Set page title and description
+st.set_page_config(
+    page_title="Aadhaar Based Face Recognition Attendance System",
+    page_icon="📷",
+    layout="centered",
+    initial_sidebar_state="collapsed"
+)
+st.title("Attendance System Using Face Recognition 📷")
+st.markdown("This app recognizes faces in an image, verifies Aadhaar card details, and updates attendance records with the current timestamp.")
+
+# Load images for face recognition
+Images = []   # List to store Images
+classnames = []  # List to store classnames
+aadhar_numbers = []  # List to store Aadhaar numbers
+
+directory = "photos"
+myList = os.listdir(directory)
+
+for cls in myList:
+    if os.path.splitext(cls)[1] in [".jpg", ".jpeg"]:
+        img_path = os.path.join(directory, cls)
+        curImg = cv2.imread(img_path)
+        Images.append(curImg)
+        classnames.append(os.path.splitext(cls)[0])
+        # Assume Aadhaar number is part of the image filename (e.g., "123456_john.jpg")
+        aadhar_numbers.append(cls.split('_')[0])
+
+# Function to validate Aadhaar card number
+def validate_aadhaar(aadhaar):
+    # Implement your Aadhaar card validation logic here
+    # For simplicity, let's assume any 6-digit number is a valid Aadhaar card
+    return len(aadhaar) == 6 and aadhaar.isdigit()
+
+# Function to update Aadhaar data
+def update_data(name, aadhaar_number):
+    url = "https://attendanceviaface.000webhostapp.com"
+    url1 = "/update.php"
+    data = {'name': name, 'aadhaar': aadhaar_number}
+    response = requests.post(url + url1, data=data)
+    
+    if response.status_code == 200:
+        st.success("Data updated on: " + url)
+    else:
+        st.warning("Data not updated")
+
+# Function to display image with overlay
+def display_image_with_overlay(image, name):
+    # Add overlay to the image (e.g., bounding box and name)
+    # ...
+
+    # Apply styling with CSS
+    st.markdown('<style>img { animation: pulse 2s infinite; }</style>', unsafe_allow_html=True)
+    st.image(image, use_column_width=True, output_format="PNG")
+
+# Take input Aadhaar card details
+aadhaar_number = st.text_input("Enter your 4-digits Aadhaar Number:")
+    
+# Take picture using the camera 
+img_file_buffer = st.camera_input("Take a picture")
+
+# Load images for face recognition
+encodeListknown = [face_recognition.face_encodings(img)[0] for img in Images]
+
+if img_file_buffer is not None:
+    # Validate Aadhaar card number
+    if validate_aadhaar(aadhaar_number):
+        test_image = Image.open(img_file_buffer)
+        image = np.asarray(test_image)
+
+        imgS = cv2.resize(image, (0, 0), None, 0.25, 0.25)
+        imgS = cv2.cvtColor(imgS, cv2.COLOR_BGR2RGB)
+        facesCurFrame = face_recognition.face_locations(imgS)
+        encodesCurFrame = face_recognition.face_encodings(imgS, facesCurFrame)
+
+        name = "Unknown"  # Default name for unknown faces
+        match_found = False  # Flag to track if a match is found
+
+        # Checking if faces are detected
+        if len(encodesCurFrame) > 0:
+            for encodeFace, faceLoc in zip(encodesCurFrame, facesCurFrame):
+                # Assuming that encodeListknown is defined and populated in your code
+                matches = face_recognition.compare_faces(encodeListknown, encodeFace)
+                faceDis = face_recognition.face_distance(encodeListknown, encodeFace)
+                matchIndex = np.argmin(faceDis)
+
+                if matches[matchIndex]:
+                    name = classnames[matchIndex].upper()
+                    
+                    # Check if Aadhaar number is found in the database
+                    if aadhaar_number not in aadhar_numbers:
+                        st.error("Face recognized, but Aadhaar number not found in the database.")
+                    else:
+                        # Update data only if a known face is detected and Aadhaar number is valid
+                        update_data(name, aadhaar_number)
+                        match_found = True  # Set the flag to True
+                    
+                else:
+                    # Face recognized, but not matched with Aadhaar number
+                    st.error("Face recognized, but Aadhaar number does not match.")
+
+                y1, x2, y2, x1 = faceLoc
+                y1, x2, y2, x1 = y1 * 4, x2 * 4, y2 * 4, x1 * 4
+                cv2.rectangle(image, (x1, y1), (x2, y2), (0, 255, 0), 2)
+                cv2.rectangle(image, (x1, y2 - 35), (x2, y2), (0, 255, 0), cv2.FILLED)
+                cv2.putText(image, name, (x1 + 6, y2 - 6), cv2.FONT_HERSHEY_COMPLEX, 1, (255, 255, 255), 2)
+
+            display_image_with_overlay(image, name)
+
+            # Display the name corresponding to the entered Aadhaar number
+            if not match_found:
+                # Match Aadhaar number with the list
+                aadhar_index = aadhar_numbers.index(aadhaar_number) if aadhaar_number in aadhar_numbers else None
+                if aadhar_index is not None:
+                    st.success(f"Match found: {classnames[aadhar_index]}")
+                else:
+                    st.warning("Face not detected, and Aadhaar number not found in the database.")
+            else:
+                st.success(f"Face recognized: {name}")
+
+        else:
+            st.warning("No faces detected in the image. Face recognition failed.")
+
+    else:
+        st.error("Invalid Aadhaar card number. Please enter a valid 6-digit Aadhaar number.")