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# DeepCaptcha Solver

A deep learning model for solving CAPTCHA images using convolutional neural networks (CNNs) built with Keras. 🤖🚀

![GitHub last commit](https://img.shields.io/github/last-commit/Armanx200/deepcaptcha-solver) ![GitHub stars](https://img.shields.io/github/stars/Armanx200/deepcaptcha-solver?style=social) ![GitHub forks](https://img.shields.io/github/forks/Armanx200/deepcaptcha-solver?style=social)

## Features 🌟

✨ Recognizes CAPTCHA images with high accuracy  
✨ Multi-symbol prediction for each letter  
✨ Trained on diverse CAPTCHA samples  

## Project Structure 📂

project_dir
├── Samples
├── code_finder.py
├── full_model.h5
├── model.py
└── model_weights.weights.h5


## Installation ⚙️

1. Clone the repository:
   ```bash
   git clone https://github.com/Armanx200/deepcaptcha-solver.git
  1. Install the required dependencies: 
    pip install -r requirements.txt

Usage 🚀

Training the Model 🏋️‍♂️

  1. Run model.py to train the CAPTCHA recognition model.
  2. Trained model weights will be saved as model_weights.weights.h5.
  3. Save the entire model (architecture + weights) as full_model.h5.

Captcha Code Recognition 🔍

  1. Use code_finder.py to recognize CAPTCHA images.
  2. Provide the path to the CAPTCHA image when prompted.
  3. Get the predicted CAPTCHA code.

Example 💡

from code_finder import predict

captcha_image_path = input('🖼️ Path to your captcha image: ')
predicted_text = predict(captcha_image_path)
print("🔮 Predicted Captcha:", predicted_text)

Acknowledgements 🙏

Special thanks to Keras and the CAPTCHA dataset providers.

Contributing 🤝

Contributions are welcome! Feel free to open issues or pull requests.

Author 👨‍💻

Armanx200 - GitHub Profile