Complete Segmentation-Free Text Recognition research paper writing
Budget: ₹20,000 – ₹180,000 INR
Research Paper Writing (Segmentation-Free Text Recognition)
Description:
I am looking for an experienced research writer to help expand and complete my research paper in the domain of Segmentation-Free Text Recognition.
The core methodology and results are already available.
Need assistance in writing and the paper from scratch into a complete research paper (15–17 pages, ~13,000 words).
Sections required: Abstract, Introduction, Related Work/Literature Survey, Methodology (rewritten/expanded), Results & Analysis, Discussions, and Conclusion.
Some plots, architecture diagrams, and result comparisons need to be created/inserted.
Writing should be in Overleaf (LaTeX) format, well-structured, and polished for journal submission.
The content must be plagiarism-free, no AI-detection issues, and written in formal academic style.
Requirements:
Strong background in deep learning, computer vision, object detection, and text recognition.
Prior experience in academic writing, research paper publication, or thesis writing.
Ability to expand existing methodology and results into a full paper with clarity and depth.
Good experience in diagram plotting, figures, and proper LaTeX formatting.
Deliverables:
A completed research paper (~16–17 pages, ~13,000 words) in Overleaf (LaTeX).
Proper citations and references (IEEE/Elsevier/Springer style as required).
Plots, architecture diagrams, and result analysis included.
Final version must be publication-ready.
Description:
I am looking for an experienced research writer to help expand and complete my research paper in the domain of Segmentation-Free Text Recognition.
The core methodology and results are already available.
Need assistance in writing and the paper from scratch into a complete research paper (15–17 pages, ~13,000 words).
Sections required: Abstract, Introduction, Related Work/Literature Survey, Methodology (rewritten/expanded), Results & Analysis, Discussions, and Conclusion.
Some plots, architecture diagrams, and result comparisons need to be created/inserted.
Writing should be in Overleaf (LaTeX) format, well-structured, and polished for journal submission.
The content must be plagiarism-free, no AI-detection issues, and written in formal academic style.
Requirements:
Strong background in deep learning, computer vision, object detection, and text recognition.
Prior experience in academic writing, research paper publication, or thesis writing.
Ability to expand existing methodology and results into a full paper with clarity and depth.
Good experience in diagram plotting, figures, and proper LaTeX formatting.
Deliverables:
A completed research paper (~16–17 pages, ~13,000 words) in Overleaf (LaTeX).
Proper citations and references (IEEE/Elsevier/Springer style as required).
Plots, architecture diagrams, and result analysis included.
Final version must be publication-ready.