TraceBack is a full-stack web application built with React and Flask that allows you to:

• Upload an image via drag & drop or file picker
• Detect and compare it with existing images
• See visual similarity scores
• Analyze if it's AI-generated using DeepFace
• Export results to CSV or PDF

• 🔍 Reverse image lookup using OpenCV feature matching (ORB)
• 🧬 Perceptual hashing for fast comparisons
• 🤖 AI image detection using DeepFace
• 📊 Visual similarity indicators
• 📁 Drag and drop upload
• 📤 Export results (CSV / PDF)

git clone https://github.com/Nuraj250/traceback.git cd traceback

cd backend python -m venv venv source venv/bin/activate # or venv\Scripts\activate on Windows pip install -r requirements.txt python app.py

Flask runs on: http://localhost:5000

Make sure you have test images in backend/static/database/.

cd ../frontend npm install npm start

React runs on: http://localhost:3000

traceback/ ├── backend/ │ ├── app.py │ ├── static/uploads/ │ ├── static/database/ │ ├── utils/image_search.py ├── frontend/ │ ├── src/App.jsx │ ├── src/components/ResultCard.jsx │ ├── public/ │ └── docs/ │ ├── screenshot-upload.png │ └── screenshot-results.png ├── README.md 

• 📄 Click “Export CSV” to download results in .csv
• 🧾 Click “Export PDF” for a clean printable report

• Image hosting (Cloudinary / S3)
• Save user history
• Real-time similarity percentage tuning
• Mobile UI optimization

MIT © Nuraj