Android Malware Detection and Prevention Using Deep Learning (LSTM) | Django | Final Year Project

🚀 Android Malware Detection and Prevention Using Deep Learning (LSTM)

This video demonstrates a Final Year Project developed using Python, Django, TensorFlow, and an LSTM Deep Learning model to detect Android malware. The system predicts whether an Android application is malicious or benign based on extracted features and provides an easy-to-use web interface.

📌 Project Features
✅ User Registration & Login
✅ Secure Authentication
✅ Android Malware Detection
✅ LSTM Deep Learning Model
✅ Admin Dashboard
✅ Prediction Results
✅ Dataset Integration
✅ Responsive User Interface

🛠️ Technologies Used
• Python
• Django
• TensorFlow
• Keras
• LSTM
• NumPy
• Pandas
• Scikit-learn
• HTML
• CSS
• JavaScript
• Bootstrap
• SQLite / MySQL

📊 Model
• Deep Learning (LSTM)
• Android Malware Dataset
• Binary Classification (Malware / Benign)

🎯 Applications
• Android Security
• Malware Detection
• Cybersecurity Research
• Machine Learning Projects
• Deep Learning Projects
• Final Year Engineering Projects

📚 This project is intended for educational and demonstration purposes.

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Видео Android Malware Detection and Prevention Using Deep Learning (LSTM) | Django | Final Year Project канала Jayanth Kumar