HandSignDetection

A computer vision application that detects hand signs in real-time using OpenCV and machine learning. It uses a CNN model trained on hand sign images and can identify common gestures. Useful for sign language translation, virtual reality interactions, and hand gesture-based control systems.

Model Build on Keeping These Criteria in Mind 👩🏻‍💻

1. Data collection
2. Data pre-processing
3. Feature engineering
4. Model selection
5. Training the model
6. Testing and evaluation

Technologies 👩🏻‍💻

1. Python programming language
2. OpenCV for image processing
3. TensorFlow and Keras for building and training the deep learning model
4. NumPy and Pandas for data manipulation and analysis

Prerequisite 🖥

1. Python version must be Python 3.6 or higher.
2. TensorFlow and Keras should be installed for building and training the deep learning model.
3. OpenCV should be installed for image processing.
4. NumPy and Pandas should be installed for data manipulation and analysis.