Update README.md

README.md

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 # Devanagari Character Recognition
 
+Devanagari Character Recognition Model
+This repository contains a TensorFlow-based deep learning model designed for recognizing Devanagari script characters and digits. The model is trained on a dataset containing 46 unique classes, including characters from "क" to "ज्ञ" and digits from ० to ९. It achieves a high validation accuracy of 98.1% and demonstrates robust performance across all classes.
+
+Model Details
+Model Type: Convolutional Neural Network (CNN)
+Input Shape: 32x32 grayscale images
+Number of Classes: 46 (36 characters + 10 digits)
+Framework: TensorFlow
+File: saved_model.keras
+
+Performance Metrics
+Metric	Value
+Validation Accuracy	98.1%
+Validation Loss	0.0777
+Macro Precision	98%
+Macro Recall	98%
+Macro F1-score	98%
+
+Strengths:
+High precision and recall across most classes, especially for digits (०–९).
+Robust generalization for complex characters like त्र and ज्ञ.
+Weaknesses:
+Slightly lower recall for characters like छ and थ, likely due to similarity with other classes.
+Minor misclassifications in noisy or poorly written input images.
+
+How to Contribute
+If you'd like to contribute:
+
+Improve the model architecture or hyperparameters.
+Add new features, such as support for vowels or additional classes.
+Report issues or bugs.
+Feel free to open a pull request or create an issue!
+
 ```python
 # Example Code: You can test our model in Google Colab or Any where you want
 import requests