Telugu OCR Model Development Expert

Job ID: 38359911

Budget: ₹1,499 – ₹3,999 INR

I am looking for a skilled developer to create a custom Telugu OCR model using Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) algorithms. The primary goal is to achieve an accuracy of about 90% and the model should be capable of handling large datasets.

Key Requirements:
- Develop a custom Telugu OCR model using CNN and LSTM algorithms
- Ensure the model is able to accurately detect handwritten Telugu samples and generate telugu digital text output
- Achieve an accuracy of about 90%
- Design the model to be scalable and capable of handling large datasets
- Provide detailed project proposals in your application

Ideal Skills and Experience:
- Proven experience in building OCR models, specifically for Telugu
- Strong understanding of CNN and LSTM, with prior successful implementations
- Familiarity with handling and processing large datasets
- Ability to deliver high accuracy in OCR models
- Excellent technical and communication skills, as evidenced in your detailed project proposals

Please note that the accuracy of the model is the primary goal, hence the need to focus on CNN and LSTM algorithms. A successful freelancer will need to showcase the depth of their understanding of these algorithms and provide a comprehensive proposal for this project.