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Author: themanishpndt

README.md

@@ -24,14 +24,14 @@ It automates the process of marking attendance by recognizing faces in real-time
 
 ```mermaid
 flowchart TD
-A[User Face] --> B[Camera Capture]
-B --> C[OpenCV Haarcascade Detection]
-C --> D[Feature Extraction & Encoding]
-D --> E[Compare with Stored Database]
-E -->|Match| F[Attendance Marked ✅]
-E -->|No Match| G[Reject/Registration ❌]
-F --> H[Attendance Stored in DB & CSV]
-H --> I[Reports for Admin/Teacher]
+    A[User Face] --> B[Camera Capture]
+    B --> C[OpenCV Haarcascade Detection]
+    C --> D[Feature Extraction & Encoding]
+    D --> E[Compare with Stored Database]
+    E -->|Match| F[Attendance Marked ✅]
+    E -->|No Match| G[Reject/Registration ❌]
+    F --> H[Attendance Stored in DB & CSV]
+    H --> I[Reports for Admin/Teacher]
 ```
 
 ---

requirements.txt

@@ -0,0 +1,11 @@
+Flask>=2.0
+opencv-contrib-python>=4.5
+numpy>=1.21
+bcrypt>=3.2
+pandas>=1.3
+gunicorn>=20.1
+cryptography>=3.4.7
+
+# Optional (for advanced face recognition with deep learning)
+face-recognition>=1.3.0
+dlib>=19.22