ThreatDashboard

ThreatDashboard is a comprehensive project designed to import, analyze, and generate reports on various types of data. The backend of the project is built using Django CMS, while the frontend is developed using React, HTML5, and JavaScript.

Features

• Data Import: Allows users to import their data for analysis.
• Data Analysis: Analyzes the imported data and provides detailed insights.
• Report Generation: Generates comprehensive reports based on the analyzed data.

Tech Stack

• Backend: Django CMS
• Frontend: React, HTML5, JavaScript

Installation

Backend

1. Clone the repository to your local machine.

git clone https://github.com/beingnajib/ThreatDashboard.git

2. Navigate to the backend directory.

cd ThreatDashboard/backend

3. Install the required Python dependencies.

pip install -r requirements.txt

4. Run the Django server.

python manage.py runserver

Frontend

1. Navigate to the frontend directory.

cd ../frontend

2. Install the required JavaScript dependencies.

npm install

3. Start the React app.

npm start

Your app should now be running on localhost:3000.

Usage

Backend

The backend is structured into several key files:

• models.py: Contains the models for the imported data, analyzed data, and generated reports.
• views.py: Defines the views for data import, data analysis, and report generation.
• urls.py: Defines the URL patterns for the views.
• serializers.py: Defines the serializers for the models.

Frontend

The frontend is structured into several key components:

• ImportData.js: Handles the data import functionality.
• AnalyzeData.js: Handles the data analysis functionality.
• GenerateReport.js: Handles the report generation functionality.
• App.js: The main component that renders the above components based on user interaction.

Contributing

Contributions are welcome! Please read the contributing guidelines to get started.

License

This project is licensed under the terms of the MIT license.

Contact

If you have any questions, feel free to reach out to me at [email protected].

Detailed Description

Backend (Django CMS)

1. class ThreatData(models.Model): This class will represent the threat data. It will have fields like threat_type, threat_level, date_detected, etc.
2. class Report(models.Model): This class will represent the generated reports. It will have fields like report_name, date_created, report_file, etc.
3. def import_data(request): This function will handle the data import. It will parse the imported file and save the data in the ThreatData model.
4. def analyze_data(request): This function will analyze the data and identify patterns. It will use machine learning algorithms for data analysis.
5. def generate_report(request): This function will generate a report based on the analyzed data. It will create a new Report instance and save the report file in it.

Frontend (React, HTML5, JS)

1. class DataImport extends React.Component: This component will provide the user interface for data import. It will have a file input and a submit button.
2. class DataAnalysis extends React.Component: This component will show the analyzed data. It will have charts and tables to visualize the data.
3. class ReportGeneration extends React.Component: This component will provide the user interface for report generation. It will have a form to specify the report parameters and a button to generate the report.