imRishabhGupta/Indian-Sign-Language-Recognition — reverse-engineered prompt

Build me a Python project that can recognize Indian Sign Language alphabet gestures from a folder of hand sign images. I want it to clean up the images, remove background noise, focus on the hand, extract useful visual features, then train models that can guess which alphabet sign is shown.

Please make it easy to run locally. Include clear scripts for preprocessing the images, creating the training data, training classifiers like SVM, KNN, logistic regression, naive Bayes, and a simple CNN if practical. I also want a way to test a new image and see the predicted alphabet.

Add simple result charts so I can compare model accuracy, including results with and without the feature extraction approach. Use OpenCV and TensorFlow if needed, but keep the setup instructions simple. If any older code or methods need updating for current Python, update them. Look up current docs online if you need to.