An AI-based system designed to detect Aadhaar fraud, validate identity documents, and enhance security using machine learning and image-processing techniques.
Aadhaar-based identity verification plays a crucial role in authentication and access control across various sectors. However, forged or manipulated Aadhaar cards pose serious risks.
This project uses Machine Learning and Computer Vision techniques to detect fraud, validate Aadhaar information, and identify anomalies in Aadhaar card images with high accuracy.
- ✔ Aadhaar card image processing
- ✔ OCR-based data extraction
- ✔ Fraud detection using ML models
- ✔ Detection of tampering or forgery
- ✔ Verification pipeline for identity validation
- ✔ Modular and easily extendable structure
| Component | Technologies |
|---|---|
| Machine Learning | Python, scikit-learn, TensorFlow / PyTorch |
| Image Processing | OpenCV, PIL |
| OCR | Tesseract OCR |
| Backend (optional) | Flask / FastAPI |
| Tools | NumPy, Pandas, Jupyter |