Result Analysis Tool

This is a Flask-based web application designed for result analysis. It provides functionalities to register users, perform result analysis, and generate reports. The application uses SQLAlchemy for database management, Flask-WTF for form handling, and Flask-Login for user authentication.

Prerequisites

Before running the application, make sure you have the required Python libraries installed. You can install them using the following command:

pip install requirement.txt

Getting Started

1. Clone the repository to your local machine:

git clone https://github.com/satishkumarmurugan/Student-Result-Generators-and-Analyzers.git 

2. Run the application:

python app.py

Usage

User Registration

• Access the application at http://localhost:5000/ in your web browser.
• Click on the "Register" link in the navigation bar.
• Fill out the registration form with your name, email, and password.
• Click on the "Register" button to create an account.

User Login

• Click on the "Login" link in the navigation bar.
• Enter your registered email and password.
• Click on the "Login" button.

Result Analysis

• Navigate to the "Result Analysis" section.
• Upload an Excel file containing student result data.
• Perform various result analysis operations, such as counting failures, calculating pass percentages, etc.
• View the result analysis report.

Comparison Tool

• Navigate to the "Comparison Tool" section.
• Upload Excel files for comparison.
• The tool will merge the data and extract relevant columns for further analysis.
• View the formatted output in a new Excel file.

Topper Analysis

• Navigate to the "Topper Analysis" section.
• Upload an Excel file containing student result data.
• The application will identify the top scorers and generate an output Excel file.

Logout

• Click on the "Logout" link in the navigation bar to log out of your account.

Important Notes

• Make sure to set a secure secret key (app.secret_key) and database URI (app.config['SQLALCHEMY_DATABASE_URI']) before deploying the application in a production environment.
• This readme assumes basic knowledge of Flask and web application deployment.

Feel free to customize and extend the application based on your specific requirements!