captcha.irctc
A deep learning model that reads IRCTC captchas with 98% accuracy, demonstrating their vulnerability to automated booking.
What is captcha.irctc?
Captcha.irctc is a deep learning project that trains neural networks to automatically read and solve captcha images from the IRCTC railway booking website. It demonstrates how machine learning can bypass traditional security measures designed to stop bots, achieving 98% accuracy in reading the text from these captchas. The project highlights the vulnerability of IRCTC's current captcha system to automated ticket booking software.
Machine learning researchers, security enthusiasts, and developers interested in computer vision, captcha vulnerabilities, or applying deep learning to real-world problems.
It provides a working, high-accuracy model specifically for IRCTC captchas, using a residual network architecture and custom training criteria. The project serves as a practical case study in breaking captcha systems with deep learning, complete with code and methodology.
Overview
Reading irctc captchas with 98% accuracy using deep learning
Use Cases
Best For
- Studying captcha vulnerability with deep learning
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