Merge pull request #884 from ShraddhaSabde/demo

Attendance Management System using Face Recognition

Author: abhisheks008

Attendance Management System using Face Recognition/Dataset/Attendance.csv

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+Name,Time
+AKSHATA,20:30:32
+SHRADDHA,13:16:19
+1710527940141,16:50:01
+BILL_GATES,13:41:09

Attendance Management System using Face Recognition/Dataset/README.md

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+🗂️ Use Your Own Dataset
+Store your images in the dataset folder.

Attendance Management System using Face Recognition/Dataset/dataset/bill_gates.jpg

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+# 🤖 Face Recognition in Deep Learning
+
+## 📚 Models Used
+1. **DeepFace**
+2. **FaceNet**
+3. **VGGNet**
+4. **FaceRecognition Library**
+
+### 🎯 Accuracy Comparison
+- **FaceRecognition Library**: Provides higher accuracy as it does not require any models.
+- **FaceNet and DeepFace**: Offer similar accuracy.
+- **VGGNet**: Delivers lower accuracy.
+
+## 📦 Required Packages
+Install the following packages:
+- `numpy`
+- `keras`
+- `deepface`
+- `PIL`
+- `tkinter`
+- `cv2`
+- `os`
+- `tensorflow`
+- `mtcnn`
+
+Additionally, download and store the following in the same working folder:
+1. `dlib-19.24.1-cp311-cp311-win_amd64.whl`
+2. `facenet_keras.h5`
+3. `vgg_face_weights.h5`
+
+## 📁 Folder Structure
+Create the following folders:
+- `dataset` (store your own images for recognition and dataset purposes)
+- `imagebasics`
+
+## 📄 CSV File
+Create an `Attendance.csv` file.
+
+## 📝 Python Files
+Create the following Python files and ensure to rename them as needed:
+- When running `DeepFace.py`, rename `AttendenceProject.py` to `DeepFace.py` in `gui2.py` and `GUI.py`.
+
+## 🚀 Running the Project
+Run `gui2.py` to start the image recognition process.