Update app.py

app.py

@@ -15,7 +15,7 @@ st.set_page_config(
     initial_sidebar_state="collapsed"
 )
 st.title("Attendance System Using Face Recognition 📷")
-st.markdown("This app recognizes faces in an image and updates attendance records with current timestamp & Location.")
+st.markdown("This app recognizes faces in an image, verifies Aadhaar card details, and updates attendance records with the current timestamp & Location.")
 
 # Load images for face recognition
 Images = []
@@ -41,48 +41,61 @@ def findEncodings(Images):
 
 encodeListknown = findEncodings(Images)
 
-# Take picture using the camera
+# Function to validate Aadhaar card number
+def validate_aadhaar(aadhaar):
+    # Implement your Aadhaar card validation logic here
+    # For simplicity, let's assume any 4-digit number is a valid Aadhaar card
+    return len(aadhaar) == 4 and aadhaar.isdigit()
+
+# Take picture using the camera and input Aadhaar card details
 img_file_buffer = st.camera_input("Take a picture")
+aadhaar_number = st.text_input("Enter Aadhaar Number:")
+
 if img_file_buffer is not None:
-    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
-
-    if len(encodesCurFrame) > 0:
-        for encodeFace, faceLoc in zip(encodesCurFrame, facesCurFrame):
-            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()
-
-            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)
-
-            if name != "Unknown":
-                url = "https://mrvishal7705.000webhostapp.com"
-                url1 = "/update.php"
-                data1 = {'name': name}
-                response = requests.post(url + url1, data=data1)
-
-                if response.status_code == 200:
-                    st.success("Data updated on: " + url)
-                else:
-                    st.warning("Data not updated")
-
-    # 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")
-
-    if name == "Unknown":
-        st.info("Face not detected. Please try again.")
+    # 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
+
+        if len(encodesCurFrame) > 0:
+            for encodeFace, faceLoc in zip(encodesCurFrame, facesCurFrame):
+                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()
+
+                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)
+
+                if name != "Unknown":
+                    # Update Aadhaar data
+                    url = "https://attendanceviaface.000webhostapp.com"
+                    url1 = "/update.php"
+                    data1 = {'name': name, 'aadhaar': aadhaar_number}
+                    response = requests.post(url + url1, data=data1)
+
+                    if response.status_code == 200:
+                        st.success("Data updated on: " + url)
+                    else:
+                        st.warning("Data not updated")
+
+        # 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")
+
+        if name == "Unknown":
+            st.info("Face not detected. Please try again.")
+    else:
+        st.error("Invalid Aadhaar card number. Please enter a valid 12-digit Aadhaar number.")