Update Readme.txt

AI_Attendence_Program/Main (1).py

@@ -0,0 +1,86 @@
+import cv2
+import numpy as np
+import face_recognition
+import os
+from datetime import datetime
+
+path = 'Images'
+Images = []
+PersonName = []
+mylist = os.listdir(path)
+print(mylist)
+
+# For separating the name from their extensions
+for cu_img in mylist:
+    current_Img = cv2.imread(f'{path}/{cu_img}')
+    Images.append(current_Img)
+    PersonName.append(os.path.splitext(cu_img)[0])
+print(PersonName)
+
+def encodings(images):
+    encodelist = []
+    for img in images:
+        img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
+        encode = face_recognition.face_encodings(img)[0]
+        encodelist.append(encode)
+    return encodelist
+
+encode_list_Known = encodings(Images)
+print("ALL ENCODING FOUND!!!")
+
+def attendance(name):
+    with open('Attendence.csv', 'r+') as f:
+        myDataList = f.readlines()
+        nameList = []
+        for line in myDataList:
+            entry = line.split(',')
+            nameList.append(entry[0])
+        if name not in nameList:
+            time_now = datetime.now()
+            tStr = time_now.strftime('%H:%M:%S')
+            dStr = time_now.strftime('%d/%m/%Y')
+            f.writelines(f'\n{name},{tStr},{dStr}')
+
+def check_camera_access(cap):
+    if not cap.isOpened():
+        print("Error: Unable to access the webcam.")
+        return False
+    return True
+
+cap = cv2.VideoCapture(0)
+
+if not check_camera_access(cap):
+    exit()  # Exit if the camera is not accessible
+
+while True:
+    ret, frame = cap.read()
+    if not ret:
+        print("Error: Unable to read from the webcam.")
+        break
+
+    faces = cv2.resize(frame, (0, 0), None, 0.25, 0.25)
+    faces = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+
+    faces_currentframe = face_recognition.face_locations(faces)
+    encode_currentframe = face_recognition.face_encodings(faces, faces_currentframe)
+
+    for encodeFace, faceLoc in zip(encode_currentframe, faces_currentframe):
+        matches = face_recognition.compare_faces(encode_list_Known, encodeFace)
+        faceDistance = face_recognition.face_distance(encode_list_Known, encodeFace)
+
+        matchIndex = np.argmin(faceDistance)
+
+        if matches[matchIndex]:
+            name = PersonName[matchIndex].upper()
+            y1, x2, y2, x1 = faceLoc
+            cv2.rectangle(frame, (x1, y1), (x2, y2), (255, 0, 0), 2)
+            cv2.rectangle(frame, (x1, y2 - 35), (x2, y2), (0, 255, 0), cv2.FILLED)
+            cv2.putText(frame, name, (x1 + 6, y2 - 6), cv2.FONT_HERSHEY_COMPLEX, 1, (255, 255, 255), 2)
+            attendance(name)
+
+    cv2.imshow("camera", frame)
+    if cv2.waitKey(10) == 13:
+        break
+
+cap.release()
+cv2.destroyAllWindows()

AI_Attendence_Program/Main.py

@@ -46,6 +46,11 @@ def attendance(name):
 
 cap = cv2.VideoCapture(0)
 
+# Check if the webcam is opened successfully
+if not cap.isOpened():
+    print("Error: Could not access the camera.")
+    exit()
+
 while True:
     ret, frame = cap.read()
     faces = cv2.resize(frame, (0, 0), None, 0.25, 0.25)

SNAKE/Main.py

@@ -0,0 +1,81 @@
+import cv2
+import numpy as np
+import face_recognition
+import os
+from datetime import datetime
+
+path = 'Images'
+Images = []
+PersonName = []
+mylist = os.listdir(path)
+print(mylist)
+# for separating the name from their extensions
+for cu_img in mylist:
+    current_Img = cv2.imread(f'{path}/{cu_img}')
+    Images.append(current_Img)
+    PersonName.append(os.path.splitext(cu_img)[0])
+print(PersonName)
+
+
+def encodings(images):
+    encodelist = []
+    for img in images:
+        img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
+        encode = face_recognition.face_encodings(img)[0]
+        encodelist.append(encode)
+    return encodelist
+
+
+encode_list_Known = encodings(Images)
+print("ALL ENCODING FOUND!!!")
+
+
+def attendance(name):
+    with open('Attendence.csv', 'r+') as f:
+        myDataList = f.readlines()
+        nameList = []
+        for line in myDataList:
+            entry = line.split(',')
+            nameList.append(entry[0])
+        if name not in nameList:
+            time_now = datetime.now()
+            tStr = time_now.strftime('%H:%M:%S')
+            dStr = time_now.strftime('%d/%m/%Y')
+            f.writelines(f'\n{name},{tStr},{dStr}')
+
+
+cap = cv2.VideoCapture(0)
+
+# Check if the webcam is opened successfully
+if not cap.isOpened():
+    print("Error: Could not access the camera.")
+    exit()
+
+while True:
+    ret, frame = cap.read()
+    faces = cv2.resize(frame, (0, 0), None, 0.25, 0.25)
+    faces = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+
+    faces_currentframe = face_recognition.face_locations(faces)
+    encode_currentframe = face_recognition.face_encodings(faces, faces_currentframe)
+
+    for encodeFace, faceLoc in zip(encode_currentframe, faces_currentframe):
+        matches = face_recognition.compare_faces(encode_list_Known, encodeFace)
+        faceDistance = face_recognition.face_distance(encode_list_Known, encodeFace)
+
+        matchIndex = np.argmin(faceDistance)
+
+        if matches[matchIndex]:
+            name = PersonName[matchIndex].upper()
+            y1, x2, y2, x1 = faceLoc
+            #y1, x2, y2, x1 = y1 * 4, x2 * 4, y2 * 4, x1 * 4
+            cv2.rectangle(frame, (x1, y1), (x2, y2), (255, 0, 0), 2)
+            cv2.rectangle(frame, (x1, y2 - 35), (x2, y2), (0, 255, 0), cv2.FILLED)
+            cv2.putText(frame, name, (x1 + 6, y2 - 6), cv2.FONT_HERSHEY_COMPLEX, 1, (255, 255, 255), 2)
+            attendance(name)
+
+    cv2.imshow("camera", frame)
+    if cv2.waitKey(10) == 13:
+        break
+cap.release()
+cv2.destroyAllWindows()

Tic-Tac-Toe/ticreadme.txt

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+# Tic-Tac-Toe
+
+This is a simple command-line Tic-Tac-Toe game built using Python. It allows two players to take turns and play the classic Tic-Tac-Toe game.
+
+## Table of Contents
+- [Features](#features)
+- [Installation](#installation)
+- [How to Play](#how-to-play)
+- [Game Rules](#game-rules)
+- [Example](#example)
+- [Contributing](#contributing)
+- [License](#license)
+
+## Features
+- Command-line interface
+- Supports two players (Player X and Player O)
+- Simple and intuitive gameplay
+- Detects win conditions and tie games
+- Displays the game board after each move
+
+## Installation
+
+1. **Clone the repository**:
+   ```bash
+   git clone https://github.com/your-username/tictactoe.git
+   cd tictactoe
+
+nsure Python is installed: This game is written in Python, so you need to have Python installed. You can check by running:
+
+
+python --version
+
+Run the game: You can directly run the tictactoe.py file:
+
+python tictactoe.py
+
+How to Play
+Player 1 (X) starts by choosing a position on the grid numbered 1 to 9.
+Player 2 (O) takes the next turn by choosing an empty position.
+The game continues until a player wins by placing three marks in a row (horizontal, vertical, or diagonal) or the game results in a tie.
+Game Rules
+The game is played on a 3x3 grid.
+Players take turns choosing a spot (1-9) to place their mark (X or O).
+The first player to get 3 of their marks in a row (either horizontally, vertically, or diagonally) wins.
+If all 9 spaces are filled and no player has 3 marks in a row, the game ends in a draw.
+
+License
+This project is open-source and available under the MIT License.