Insurance Management System Project in Python with Source Code and Report

In this page Insurance Management System project is a web application which is developed in Python platform. This Python project with tutorial and guide for developing a code. Insurance Management System is a open source you can Download zip and edit as per you need. If you want more latest Python projects here. This is simple and basic level small project for learning purpose. Also you can modified this system as per your requriments and develop a perfect advance level project. Zip file containing the source code that can be extracted and then imported into visual Code 10. Here Project Source code for BE, BTech, MCA, BCA, Engineering, Bs.CS, IT, Software Engineering, Computer Science students and Devloper. Student can submit in college for final year project. This script developed by rashmi mishra. This web application 100% working smooth without any bug. It is developed using Python, HTML, CSS, Bootstrap and Database Mysql. This software code helpful in academic projects and research paper for final year computer science. You can explore great collection of other Python projects.

Document and reports information of Insurance Management System

This doucment file contains project Synopsis, Reports, and various diagrams. Also Abstract in PDF, PPT file inside zip so that document link below the page. UML diagrams for Insurance Management System. Class diagrams, Use Case diagrams, Entity–relationship(ER) diagrams, Data flow diagram(DFD), Sequence diagram and software requirements specification (SRS) in report file. Complete ready made open source code free of cost download. You can find Top Downloaded Python projects here.

Features and function of the Insurance Management System project

For a Python project using Flask, the features and functionality can vary based on the specific application you're developing. However, I can provide a general overview of typical features and functionalities that might be included in a Flask-based application. You can tailor these to fit your specific project needs. 1. Authentication and Authorization User Registration: Allow users to create accounts with required fields like username, email, and password. Login/Logout: Enable users to log in and out of the application securely. Password Management: Implement features for password recovery and resetting. User Roles and Permissions: Manage different roles (e.g., admin, user) with specific permissions and access controls.

User modules and function of Insurance Management System

In a Flask-based application, the user module typically handles all aspects related to user management. This includes user registration, authentication, profile management, and permissions. Below is an overview of how you might structure the user module for a Flask application, including key functionalities, typical components, and example code snippets. User Module Overview 1. User Registration Functionality: Allow new users to create an account. Components: Registration form, user model, validation, and database interaction. 2. User Authentication Functionality: Allow users to log in and log out. Components: Login form, session management, password hashing, and authentication checks. 3. User Profile Management Functionality: Allow users to view and update their profile information. Components: Profile view, update form, and profile model. 4. Authorization and Permissions Functionality: Manage user roles and access levels. Components: Role-based access control, decorators for route protection.

Software requirement to run this project

Example Project Setup Install Python: Download and install from the official Python website. Create a Virtual Environment: bash Copy code python -m venv myenv source myenv/bin/activate # On Windows, use `myenv\Scripts\activate` Install Flask and Extensions: bash Copy code pip install Flask Flask-SQLAlchemy Flask-Migrate Flask-WTF Flask-Login Set Up Your Project Structure: Create directories and files for your Flask application (e.g., app.py, models.py, routes.py, etc.).

Hardware requirement to run this project

1. laptop/desktop. 2. minimum 1GB RAM. 3. minimum 100GB HDD.

How to import and run the project?

1. Set Up Your Environment

If you downloaded a ZIP file, extract it and navigate to the project directory.

b. Create and Activate a Virtual Environment

It's a good practice to use a virtual environment to manage dependencies.

Create a Virtual Environment:

python -m venv venv

Activate the Virtual Environment:

Windows:

venv\Scripts\activate

MacOS/Linux:

source venv/bin/activate

2. Install Dependencies

Ensure you have a requirements.txt file in the project. This file lists all the necessary Python packages.

Install Dependencies:

pip install -r requirements.txt

If the project uses Pipfile, you can use pipenv:

Install Dependencies with Pipenv:

pipenv install

3. Configure Environment Variables

Flask applications often use environment variables for configuration. Check the project for a .env file or documentation on required environment variables.

Set Environment Variables:

You can create a .env file if it's not provided. Add necessary variables, like:

FLASK_APP=app.py

FLASK_ENV=development

SECRET_KEY=your_secret_key

4. Run the Flask Application

Set the Flask App Environment Variable:

export FLASK_APP=app.py

export FLASK_ENV=development

For Windows:

set FLASK_APP=app.py

set FLASK_ENV=development

Run the Flask Application:

flask run

5. Access the Application

Once the Flask application is running, you can access it in your web browser at http://127.0.0.1:5000/.

How to import database?

3. Import the Database

Start XAMPP or WAMP:

Open XAMPP Control Panel and start Apache and MySQL.

For WAMP, ensure the WAMP server is running (green icon in the taskbar).

Open phpMyAdmin:

In your web browser, go to:

XAMPP: http://localhost/phpmyadmin

WAMP: http://localhost/phpmyadmin

Create a New Database:

Click on the Databases tab and create a new database. For example, name it insurance_db_py.

Import the Database File:

Click on the newly created database.

Go to the Import tab.

Click on Choose File and select the .sql file from the project folder (usually in a folder like db or sql).

Click Go to import the database.

How to create diagram?

Download Diagrams :

Format Of Report

Class Diagrams

Use Case Diagrams

Entity–relationship(ER) Diagrams

DFD Diagrams

Sequence Diagrams

Spam Detection project in Python

Features:

Machine Learning for Robust Spam Detection In the ever-evolving realm of email communication, the persistent issue of spam remains a significant concern. Thankfully, machine learning offers powerful tools to combat this problem by effectively classifying emails as spam or legitimate. Here's a detailed exploration of how machine learning can be l ... [ Download Source Code ]

Software Requirement:

Pycharm

shashank26

February 16, 2024

Like 0 | Views 5643 | Download 645

Source code

project Name	Insurance Management System
project ID	13142
Developer Name	rashmi mishra
Publish Date	September 13, 2024
project Platform	Python
Programming Language	Python, HTML, CSS, Bootstrap
Front End	HTML, CSS,BOOTSTRAP
Back End	Python, MySQL
IDE Tool	visual Code 10
Database	Mysql
project Type	web Application
No of project Download	0
project Total View	300
Today Trends	36
Current Month Trends	301
Last Month Trends	0

Insurance Management System project in Python with source code and document.

rashmi mishra

Document and reports information of Insurance Management System

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