PBL: Student-Attendance-Management-System-Project-In-Python-Source-Code

 Savitribai Phule Pune University
Second Year of Computer Engineering (2019 Course)
210260: Project Based Learning

 

Project Statement:

Student-Attendance-Management-System-Project-In-Python-Source-Code 

The Real-Time Student Attendance Management System Project in Python is deep learning application which is design for daily attendance, working hours, breaks, login, and logout time are all tracked by the attendance management system.

Note:

Firstly install this Python librarys in your Pc/Laptop by using terminal.

1. import face_recognition

2. import cv2

3. import numpy as np

4. import pywhatkit 

if you get error while installing face_recongnition library then uninstall your current pyhton version and install python 3.9.0 to avoid this error.

 

"91_0000000000": here enter that particular student mobile number.

Code:

import face_recognition
import cv2
import numpy as np
import csv
import os
from datetime import datetime
#------------------------------Whats App message Code Librarys----------------------------------

import pyautogui as pg
import webbrowser as web
import time
import pandas as pd
import pywhatkit
# -----------------------------------End of code -----------------------------------------------
video_capture = cv2.VideoCapture(0)


# ----------------------------Data of students-------------------------------------------------
# "91_0000000000": here enter that particular student mobile number
no_list={"Kunal kawate":"91_0000000000","Kunal Paithane":"91_00000000000","shreyas":"91_0000000000","Ritesh":"91_0000000000"}
# ----------------------------End----------------------------------------------------------------


jobs_image = face_recognition.load_image_file("photos/kunya.jpg")
jobs_encoding = face_recognition.face_encodings(jobs_image)[0]
 
ratan_tata_image = face_recognition.load_image_file("photos/kunalp.jpg")
ratan_tata_encoding = face_recognition.face_encodings(ratan_tata_image)[0]
 
sadmona_image = face_recognition.load_image_file("photos/rcbsamrthak.jpg")
sadmona_encoding = face_recognition.face_encodings(sadmona_image)[0]

s_image = face_recognition.load_image_file("photos/shreyas.jpg")
s_encoding = face_recognition.face_encodings(s_image)[0]
 
known_face_encoding = [
jobs_encoding,
ratan_tata_encoding,
sadmona_encoding,
s_encoding
]
 
known_faces_names = [
"Kunal kawate",
"Kunal Paithane",
"Ritesh",
"shreyas"
]
 
students = known_faces_names.copy()
 
face_locations = []
face_encodings = []
face_names = []
s=True
 
 
now = datetime.now()
current_date = now.strftime("%Y-%m-%d")
 
 
 
f = open(current_date+'.csv','w+',newline = '')
lnwriter = csv.writer(f)
lnwriter.writerow(["Name of Students","Phone No.","Log","Message"])
 
while True:
    _,frame = video_capture.read()
    small_frame = cv2.resize(frame,(0,0),fx=0.25,fy=0.25)
    rgb_small_frame = small_frame[:,:,::-1]
    if s:
        face_locations = face_recognition.face_locations(rgb_small_frame)
        face_encodings = face_recognition.face_encodings(rgb_small_frame,face_locations)
        face_names = []
        for face_encoding in face_encodings:
            matches = face_recognition.compare_faces(known_face_encoding,face_encoding)
            name=""
            face_distance = face_recognition.face_distance(known_face_encoding,face_encoding)
            best_match_index = np.argmin(face_distance)
            if matches[best_match_index]:
                name = known_faces_names[best_match_index]
 
            face_names.append(name)
            if name in known_faces_names:
                font = cv2.FONT_HERSHEY_SIMPLEX
                bottomLeftCornerOfText = (10,100)
                fontScale              = 1.5
                fontColor              = (255,0,0)
                thickness              = 3
                lineType               = 2
 
                cv2.putText(frame,name+' Present',
                    bottomLeftCornerOfText,
                    font,
                    fontScale,
                    fontColor,
                    thickness,
                    lineType)
 
                if name in students:
                    students.remove(name)
                    name1=no_list[name]
                    print(students)
                    current_time = now.strftime("%H-%M-%S")
                    lnwriter.writerow([name,name1,"Present","-"])

    cv2.imshow("attendence system",frame)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
# -------------------change---------------------------
for item in students:
    item1=no_list[item]
    lnwriter.writerow([item,item1,"Absent","Dear Parent "+item+" is absent from college today, if you are unaware of this, please contact the office on 01-12345-789 , Thank You!; Mail From: *Dr. D. Y. Patil Institute Of Technology, Pimpari Pune* "])
# ---------------------------------------------------

video_capture.release()
cv2.destroyAllWindows()
f.close()

# ------------------------------whats code-----------------------------

data = pd.read_csv(current_date+'.csv')
data_dict = data.to_dict('list')
student_name_list=data_dict["Name of Students"]
leads = data_dict["Phone No."]
messages = data_dict["Message"]
d_log=data_dict["Log"]
combo = zip(leads,messages,d_log,student_name_list)
first = True
time.sleep(6)
for lead,message,log,stu_name in combo:
    if(log == "Absent"):
        pywhatkit.sendwhatmsg_instantly(lead, message,10,True,10)
        print("\nMessage has been sent Successfully to "+stu_name)
# --------------------end code----------------------------------------------------------

print("\n-----------------------------Exit----------------------------\nThank You for using this program.......\n")