🚀 AdClassifier Pro

AdClassifier Pro is an enterprise-grade Machine Learning application designed to intelligently categorize digital advertisement text. Built with Streamlit and Scikit-learn, it offers a modern SaaS-like experience for both single-text analysis and bulk data processing.

✨ Key Features

• 📊 Executive Dashboard: Get a high-level overview of your data distribution and model performance metrics.
• 🔍 Intelligent Classifier:
  • Real-time classification of job descriptions.
  • Confidence Scores: Visual indicators of model certainty.
• 📂 Batch Processor:
  • Bulk upload support for CSV and Excel files.
  • Automatic column detection.
  • Instant Analytics: Auto-generated charts for category distribution and confidence spread.
  • Export results to CSV.
• 🎨 Customization:
  • Toggle between Midnight Dark and Professional Light themes.
  • Responsive, mobile-friendly UI.

🛠️ Installation

1. Install Python: Ensure you have Python 3.8+ installed.
2. Create Virtual Environment:

   python -m venv .venv
   # Windows
   .venv\Scripts\activate
   # Mac/Linux
   source .venv/bin/activate

3. Install Dependencies:

   pip install -r requirements.txt

🚀 Usage

Run the application locally:

streamlit run streamlit_app.py

How to Use

1. Dashboard: View the model's training stats.
2. Classifier: Go to the "Classifier" tab, paste an ad, and click "Analyze Now".
3. Batch Processing:
   • Go to "Batch Processor".
   • Upload a CSV/Excel file (e.g., test_ads.csv).
   • Select the text column.
   • Click "Process Batch" to see charts and download results.

📂 Project Structure

• streamlit_app.py: Main application logic and UI.
• model/: Contains the pre-trained machine learning model (adv_model.sav).
• data/: Contains the dataset used for training/visualization.
• notebook/: Jupyter notebooks used for model development.