Full Page Handwriting Recognition Model using Tensorflow

I am looking for a freelancer who can create and train a deep learning model that can accurately recognize handwritten text from paragraphs and documents.. The ideal candidate should have experience in the following: - Deep Learning Model Creation and Training - Image Recognition and Natural Language Processing - Working with both image and text data - Using TensorFlow as the preferred deep learning framework - Transfer Learning - The model will be trained on dataset with Hindi and Bengali Handwriting. The project will involve the following tasks: - Creating a deep learning model using TensorFlow for Full Page Handwriting Recognition - The model will be based on the architecture used here: [login to view URL] - Resnet 152 (Initial weights can be taken from as the ImageNet. - I will provide you with images and corresponding annotated text files (after the model creation is done). - The images are of different sizes thus need to make a preprocessing file to bring all the images to same size before you input it to the model. - Training the model using the prepared data - Testing and evaluating the model's accuracy and performance -The code should be modular and easy to understand. (Well Commented). The candidate should have expertise in developing deep learning models and be able to deliver high-quality results within the given timeframe. The deliverables include: - Full Model code (working) - The fine tunned resnet-152 weights and other weights of the fine tuned model. I need the task to be done with priority ( Model creation should not take more than 3-4 days and training 1 day). Budget: INR 3500-4000