diff --git a/Web Development/Basic/virtual-classes-attendance-automation-system/main.py b/Web Development/Basic/virtual-classes-attendance-automation-system/main.py
new file mode 100644
index 000000000..ceb993811
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+++ b/Web Development/Basic/virtual-classes-attendance-automation-system/main.py
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+from flask import Flask, render_template, request
+import pandas as pd
+
+app = Flask(__name__, template_folder='templates')
+
+@app.route('/')
+def index():
+ return render_template('index.html')
+
+@app.route('/generate_report', methods=['POST'])
+def generate_report():
+ try:
+ # Get form data
+ students_file = request.files['students_file']
+ attendance_file = request.files['attendance_file']
+ threshold = int(request.form['threshold'])/100
+
+ def convert_to_seconds(duration_str):
+ h, m, s = map(int, duration_str.split(':'))
+ return h * 3600 + m * 60 + s
+
+ # Read CSV files
+ students_df = pd.read_csv(students_file)
+ attendance_df = pd.read_csv(attendance_file)
+
+ # Convert 'Time in Call' to total seconds
+ attendance_df['total_seconds'] = attendance_df['Time in Call'].apply(convert_to_seconds)
+
+ # Calculate threshold duration
+ max_duration = attendance_df['total_seconds'].max()
+ threshold_duration = max_duration * threshold
+
+ # Filter attendance data based on threshold
+ filtered_attendance = attendance_df[attendance_df['total_seconds'] > threshold_duration]
+
+ # Merge attendance data with student data
+ merged_data = pd.merge(filtered_attendance, students_df, left_on='Full Name', right_on='Student Name', how='left')
+
+ # Prepare report data
+ report_data = merged_data[['Roll No', 'Full Name', 'Time in Call']]
+ report_data.columns = ['roll_no', 'name', 'total_duration']
+ report_data = report_data.to_dict(orient='records')
+
+ return render_template('report.html', report_data=report_data)
+
+ except Exception as e:
+ error_message = f"Error: {str(e)}"
+ return render_template('index.html', error=error_message)
+
+if __name__ == '__main__':
+ app.run(debug=True)
diff --git a/Web Development/Basic/virtual-classes-attendance-automation-system/readme.md b/Web Development/Basic/virtual-classes-attendance-automation-system/readme.md
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+++ b/Web Development/Basic/virtual-classes-attendance-automation-system/readme.md
@@ -0,0 +1,13 @@
+The Virtual Classes Attendance Automation System is a web-based application developed using Flask, a Python web framework, to automate the process of generating attendance reports for virtual classes. This system allows users to upload two CSV files containing student information and attendance records, specify a minimum duration threshold for attendance, and generate a detailed report based on the provided criteria.
+## Deployment
+
+Check out the live deployment of this project [here](https://virtual-classes-attendance-automation.onrender.com).
+
+Key features of the system include:
+File Upload: Users can upload CSV files containing student information (`students_file`) and attendance records (`attendance_file`) directly through the web interface.
+Threshold Setting: The system allows users to specify a minimum duration threshold (in seconds) for considering a student's attendance as valid. This threshold helps filter out short attendance durations.
+Data Processing: Upon form submission, the system processes the uploaded CSV files, converts the 'Time in Call' duration to total seconds, and filters the attendance data based on the specified threshold.
+Data Merge and Reporting: The system merges the filtered attendance data with student information based on matching names. It then generates a report containing relevant details such as roll number, student name, and total duration of attendance in hours, minutes, and seconds format.
+User Interaction: After generating the report, users can view the attendance details in a formatted HTML table (`report.html`). The report page includes a button that allows users to reset and return to the initial form (`index.html`) for further processing.
+This system streamlines the attendance tracking process for virtual classes, providing educators and administrators with a convenient tool to analyze student participation and ensure accurate attendance records. The use of Flask enables rapid development and deployment of the web application, making it accessible and user-friendly for both teachers and students.
+By leveraging Python's pandas library for data manipulation and Flask for web development, the Virtual Classes Attendance Automation System offers a practical solution to enhance efficiency in managing virtual class attendance.
diff --git a/Web Development/Basic/virtual-classes-attendance-automation-system/templates/index.html b/Web Development/Basic/virtual-classes-attendance-automation-system/templates/index.html
new file mode 100644
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+++ b/Web Development/Basic/virtual-classes-attendance-automation-system/templates/index.html
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+
+
+
+ Attendance Automation System
+
+
+
+