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ghimireplan/
AI

Name: AI
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Devanagari Character Recognition

This model recognizes Devanagari characters (numerals, vowels, and consonants) from images. It uses a Convolutional Neural Network (CNN) architecture trained on the NHCD (Nepali Handwritten Character Dataset).

Model Architecture

The model uses a CNN architecture with the following components:

Multiple Conv2D layers with BatchNormalization
MaxPooling2D layers for dimensionality reduction
Dropout layers for regularization
Dense layers for classification

Usage

You can use this model in two ways:

Using the Gradio Interface:
- Run python app.py
- Open the provided local URL in your browser
- Upload an image of a Devanagari character
- Get the prediction results
Using the Model Directly:

python

from tensorflow.keras.models import load_model
import cv2
import numpy as np

# Load the model
model = load_model('models/devanagari_model.h5')

# Load and preprocess image
image = cv2.imread('path_to_image.jpg', cv2.IMREAD_GRAYSCALE)
image = cv2.resize(image, (32, 32))
image = image.reshape(1, 32, 32, 1) / 255.0

# Make prediction
prediction = model.predict(image)

Dataset

The model is trained on the NHCD dataset, which contains:

Numerals (0-9)
Vowels
Consonants

Performance

The model achieves:

Training accuracy: ~97%
Validation accuracy: ~95%
Test accuracy: ~95%

Requirements

Install the required packages:

pip install -r requirements.txt

License

This project is licensed under the MIT License - see the LICENSE file for details.

ghimireplan/AI