Building a CAPTCHA Solver with Python and Machine LearningBuilding a CAPTCHA Solver with Python and Machine Learning
Jun 2024 - PresentJun 2024 - Present
I’m excited to share a project I’ve been working on: a CAPTCHA solver using Python, OpenCV and Scikit-learn. This project was a fantastic learning experience and provided me with deeper insights into data preprocessing, model training, and deployment.
Project Overview:
CAPTCHAs are used to distinguish between human and automated access to websites. They are great for security but can be a hassle when you need to automate tasks. Here's how I tackled this challenge.
Data Collection and Preparation:
I collected a diverse set of CAPTCHA images from one of the websites - which prompted us to start this project.
Model Building:
I experimented with different machine learning algorithms using Scikit-Learn, such as Support Vector Machines (SVM) and Logistic regression.
After evaluating various models, I selected the one that provided the best accuracy and generalization.
Training and Evaluation:
The model was trained on a dataset of labeled CAPTCHA images.
I evaluated its performance using accuracy metrics, ensuring it could generalize well to unseen CAPTCHAs.
Deployment:
The trained model was integrated into another application, to automate some tasks.
Feel free to check out the detailed code and implementation on my GitHub:
اسم المستقل | Mostafa E. |
عدد الإعجابات | 0 |
عدد المشاهدات | 16 |
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