Sign-Language-Recognition-and-Text-and-Speech-conversion

An ML model, working on sign language using Mediapipe and opencv.

Use of different Classifiers can help in increasing the accuracy and efficieny in training the model.

ACCURACY:

--> KNeighbors Classifier==100%

-->RandomForest Classifier=100%

-->Support Vector Classfier==100%

-->DecisionTree Classifier==100%

-->Gradient Boosting Classifier==~95-98%

-->AdaBoost Classifier==~50-70%