Text Classification for Spam Detection

[sanga28]

Closes:

Text Classification for Spam Detection #70

Full Name: Sanga Bhattacharjee
Open Source Program: SWOC

Description 📃

This PR implements a text classification system to detect spam messages. The following changes are included:

• Added a spam-detection folder containing:
  • app.py: Streamlit-based user interface for detecting spam messages.
  • model.py: Code for preprocessing data, training, and evaluating the machine learning model.
  • Dataset folder: Includes the spam.csv dataset for training.
• Updated requirements.txt with dependencies like scikit-learn and streamlit.

Why This is Needed

This feature adds a spam detection system, allowing users to input text messages and determine whether they are spam. It addresses the need for real-time spam detection in open-source projects.

Checklist: ☑️

• My code follows the code style of this project.
• My code follows the Contributing Guidelines & Code of Conduct of this project.
• This PR does not contain plagiarized content.
• I have performed a self-review of my own code.
• I have commented my code, particularly wherever it was hard to understand.
• My changes generate no new warnings.

[github-actions]

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[Avdhesh-Varshney]

Follow guidelines.

• PR closed due to commit in main branch.
• Integrate your model with Jarvis. You have to create a single file not multiple files.