https://github.com/anans9/ham-spam-analysis

A significant aspect of this application is its advanced ham and spam analysis system. This feature is crucial in maintaining the integrity and quality of the email content.
https://github.com/anans9/ham-spam-analysis

flask matplotlib pandas python scikit-learn

Last synced: 6 days ago
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A significant aspect of this application is its advanced ham and spam analysis system. This feature is crucial in maintaining the integrity and quality of the email content.

• Host: GitHub
• URL: https://github.com/anans9/ham-spam-analysis
• Owner: anans9
• Created: 2023-12-08T02:41:17.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-12-08T03:00:19.000Z (about 1 year ago)
• Last Synced: 2024-12-19T10:43:42.609Z (15 days ago)
• Topics: flask, matplotlib, pandas, python, scikit-learn
• Language: Python
• Homepage:
• Size: 128 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## Project Name

Ham/Spam Email Analysis

## Description

A significant aspect of this application is its advanced ham and spam analysis system. 

This feature is crucial in maintaining the integrity and quality of the email content. 

It automatically filters out spam, ensuring that users are presented with only genuine emails. 

This is achieved through a combination of Python libraries and algorithms specializing in natural language processing and pattern recognition.

## Libraries

- **Tailwind CSS** - A utility-first CSS framework for rapidly building custom user interfaces without writing custom CSS.

- **scikit-learn** - Empowers the application with machine learning capabilities, particularly for spam detection in news items.

- **Flask** - In addition to powering the web application, it assists in integrating various components and functionalities.

- **Pandas** - Provides advanced data manipulation and analysis, crucial for handling user interactions and news data.

- **Matplotlib** - Enables the generation of insightful visualizations, particularly useful in the admin interface for data analysis and reporting.

#### 🛠 Development Setup

1. Install the environment and libraries required

   ```sh

   python3 -m venv .venv && . .venv/bin/activate && pip install -r requirements.txt

   ``` 

2. Start the server

   ```sh

   . .venv/bin/activate && python3 app.py

   ``` 

3. Access the app 

   ```sh

   http://localhost:8000

   ```