Malayalam-Character-Recognition

Refer to Project-Notebooks folder for updates

Project-Notebooks
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Dataset_Preparation : Converts images to 32X32 Grayscale images with adaptive thresholding

NP-Dataset : X.npy and y.npy are numpy arrays of (34553,32,32) & (34553,) dimensions

Training_Dataset_Generation: Functions to Reshape and Normalize data.OneHotEncode Labels etc

Models/ : Folder which contains weights of trained Models

CNN_Model : Model is designed here. Entire training pipeline happens here. Weights are saved in the end

Prediction_Estimation : Generated the Prediction. Used for performance evaluation,Plotting etc

Training Results
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Accuracy & Sample Predictions
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Trained the model using floydhub service
Results are below :

Model Used
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Deployment
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Coming Soon
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1. Adding more data + augmentation
2. Deployment in a web-app