🕵️‍♂️ TraceBack – Reverse Image Finder

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

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🚀 Features

• 🔍 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)

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🖼️ Preview

🔼 Upload Image

📊 Matched Results

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🧱 Tech Stack

Frontend	Backend
React + Axios	Flask
HTML5 Drag-and-Drop	OpenCV (ORB)
FileSaver.js, jsPDF	DeepFace + Pillow + ImageHash

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🛠️ Installation

1. Clone the repo

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

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2. Setup Backend (Flask)

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/.

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3. Setup Frontend (React)

cd ../frontend
npm install
npm start

React runs on: http://localhost:3000

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📂 Folder Structure

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

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📤 Exports

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

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💡 Future Ideas

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

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📜 License

MIT © Nuraj