Hindi Handwriting Recognition using Neural Networks and OpenCV

Developed a hybrid neural network model capable of recognizing and distinguishing Hindi handwritten characters. By leveraging the Python library OpenCV, the project integrated motion sensing functionality to detect hand gestures using a laptop's webcam. This approach enabled real-time interaction, where the neural network could accurately interpret and classify handwritten characters based on gestures. The project demonstrated a seamless blend of computer vision and neural network capabilities, offering a practical application for handwriting recognition and gesture-based input systems.