Text Classification for Spam Detection

[sanga28]

Closes: #70

• Title: Spam Detection Model Integration with Jarvis
• Your Name: Sanga Bhattacharjee
• Open Source Program: SWOC

Describe the add-ons or changes you've made 📃

Integrated the spam detection model with Jarvis in a single Python file (jarvis_spam_detector.py).
The single file includes:
Text preprocessing using TfidfVectorizer.
Spam classification using the Multinomial Naive Bayes algorithm.
Model persistence using pickle to avoid repeated training.
Prediction logic compatible with Jarvis's input/output requirements.
Added an interactive command-line interface for testing purposes.

Checklist: ☑️

• 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]

You have created a large chunks of commits?

[Avdhesh-Varshney]

Are you training the model? This is an inappropriate. You have to build your model and submit it. Read this conversation

[Avdhesh-Varshney]

No main function should be there. Keep your function name as of file name.

• File name is only spamDetector.py