AI-Security-Assistant-for-Safe-Browsing

NLP Project – Main Project Overview

This project is part of the NLP Course (NTI). It demonstrates Natural Language Processing (NLP) techniques including data preprocessing, model training, evaluation, and comparison across different algorithms.

The project includes:

Dataset preparation and cleaning

Feature extraction (e.g., TF-IDF, embeddings)

Model training (classical ML & deep learning approaches)

Evaluation with accuracy, precision, recall, F1-score

Summary of results in MODELS_SUMMARY.txt

Project Structure Mian Project/ │ ├── Datasets/ # Raw and processed datasets ├── main_project.py # Main Python script (training & evaluation) ├── Main_Project.ipynb # Jupyter Notebook (experiments & analysis) ├── MODELS_SUMMARY.txt # Model results and evaluation summary ├── The-Main-Project.zip # Archived project files └── README.md # Project documentation

️ Requirements

Make sure you have Python 3.8+ installed. Install dependencies using:

pip install -r requirements.txt

If you don’t have a requirements.txt yet, typical dependencies include:

pandas numpy scikit-learn matplotlib seaborn nltk jupyter

How to Run Run with Python Script python main_project.py

Run with Jupyter Notebook jupyter notebook Main_Project.ipynb

Results

All trained models are summarized in MODELS_SUMMARY.txt

Evaluation includes accuracy, precision, recall, and F1-score

Author

Developed under the NLP Course (NTI)

Author: Hazem Deep Soliman

Supervision

Prof.Manar Mohamed

Prof.Menna Ebrahim