Telugu OCR Model using CNN
Budget: ₹1,500 – ₹6,000 INR
I'm in need of a custom Telugu OCR model, primarily designed for handwritten samples. The model should be built using Convolutional Neural Networks (CNN) and trained on Google Colab.
Key Requirements:
- Improve the accuracy of text recognition: The desired accuracy level is high, above 95%. This will be crucial for ensuring the effectiveness of the OCR model in processing Telugu text.
- Detect and process a variety of document types: The model should be capable of processing handwritten notes, printed books or documents, as well as scanned forms.
Ideal Skills and Experience:
- Proficiency in Telugu language and character recognition
- Strong background in implementing CNN for OCR
- Experience with Google Colab for model training
- Proven track record of achieving high accuracy rates in OCR models
- Ability to work with different types of documents for OCR
Your successful completion of this project will greatly enhance the efficiency of our document processing. Thank you.
Key Requirements:
- Improve the accuracy of text recognition: The desired accuracy level is high, above 95%. This will be crucial for ensuring the effectiveness of the OCR model in processing Telugu text.
- Detect and process a variety of document types: The model should be capable of processing handwritten notes, printed books or documents, as well as scanned forms.
Ideal Skills and Experience:
- Proficiency in Telugu language and character recognition
- Strong background in implementing CNN for OCR
- Experience with Google Colab for model training
- Proven track record of achieving high accuracy rates in OCR models
- Ability to work with different types of documents for OCR
Your successful completion of this project will greatly enhance the efficiency of our document processing. Thank you.