DeepShield is an intelligent cybersecurity solution designed to identify AI-generated images, deepfakes, identity misuse, explicit synthetic media, and online image leaks.
By combining modern AI models with digital forensics and legal assistance, DeepShield helps users detect manipulated media, assess threats, and generate appropriate legal documentation from a single platform.
- 🔍 AI-Based Deepfake Identification
- 🚨 NSFW & Explicit Image Analysis
- 🌐 Reverse Image Leak Intelligence
- 🧠 AI Threat Assessment
- ⚖️ Automated Legal Document Generation
- 👮 Complaint & Report Generator
- 🛡️ Continuous Monitoring Dashboard
- 🔒 Privacy-Focused Processing
- Vision Transformer powered detection
- AI-generated image recognition
- Authenticity verification
- Confidence-based prediction scores
- Detects explicit AI-generated content
- Safety classification
- Risk evaluation and alerts
- Reverse image lookup
- Facial similarity analysis
- Perceptual hash comparison
- Potential leak source discovery
Provide an incident description and DeepShield generates:
- Threat Severity
- Risk Percentage
- Estimated Exposure
- Suggested Response
- Legal Recommendations
Generate ready-to-use documents such as:
- DMCA Takedown Notices
- Police Complaint Drafts
- Platform Removal Requests
- Legal Report Templates
- Upload protected reference images
- Local perceptual hash generation
- Continuous monitoring workflow
- Privacy-first design
- Instant security notifications
- React.js
- Vite
- React Router
- CSS3
- FastAPI
- Python
- Uvicorn
- Vision Transformer (ViT)
- Deepfake Classification Model
- NSFW Detection Model
- OCR Processing
- Perceptual Hash Matching
- Reverse Image Search
- Leak Detection
- Threat Analysis
- AI Legal Assistant
git clone https://github.com/rishitharkulal04/DeepShield.git
cd DeepShieldcd frontend
npm install
npm run devFrontend runs at:
http://localhost:5173
cd backend
pip install -r requirements.txt
uvicorn main:app --reloadBackend API runs at:
http://127.0.0.1:8000
DeepShield
│
├── frontend/
│ ├── src/
│ ├── public/
│ ├── package.json
│ └── vite.config.js
│
├── backend/
│ ├── models/
│ ├── services/
│ ├── uploads/
│ ├── utils/
│ ├── requirements.txt
│ └── main.py
│
├── README.md
└── LICENSE
- 🎥 AI Video Deepfake Detection
- 📱 Mobile Application Support
- 🌐 Live Leak Intelligence
- 📧 Email Alert System
- 📲 WhatsApp & Telegram Notifications
- 🔐 Secure User Authentication
- ☁️ Cloud-Based Monitoring
- 🤖 Smarter AI Threat Analysis
- 📊 Advanced Analytics Dashboard
- 🛰️ OSINT Integration
DeepShield is useful for:
- 🛡️ Digital Identity Protection
- 🔍 Deepfake Verification
- 🌐 Image Leak Detection
- 👤 Reputation Protection
- ⚖️ Legal Documentation
- 👮 Cybercrime Reporting
- 📸 Copyright Protection
- 📰 Media Verification
- 🏢 Enterprise Cybersecurity
- 🎓 Academic Research
DeepShield is designed with a privacy-first approach.
- ✅ Secure image processing
- ✅ Local perceptual hash generation
- ✅ Minimal user data storage
- ✅ Secure AI-powered analysis
- ✅ Cybersecurity best practices
We welcome community contributions.
-
Fork the repository.
-
Create a feature branch.
git checkout -b feature-name- Commit your changes.
git commit -m "Add new feature"- Push your branch.
git push origin feature-name- Submit a Pull Request.
Distributed under the MIT License.
Tech Enthusiast
🎓 Computer Science
🔗 GitHub
https://github.com/rishitharkulal04
- Abhishek Suvarna
- Ajaya Raj A N
- Prajna
If you enjoyed this project or found it useful, consider giving the repository a ⭐ Star.
Every star motivates us to build even better AI-powered cybersecurity solutions..