Generative AI Handwriting Synthesis Tool
Budget: ₹600 – ₹1,500 INR
Project Title:
Python ML Developer Needed for Generative Handwriting Tool (AI Style Transfer)
Project Description:
I am looking for a skilled Machine Learning developer to build a "Few-Shot Handwriting Synthesis" tool.
The Concept:
I want to build a local web app where a user uploads one image of their handwriting, types some text, and the system generates that text in the exact style of the uploaded image.
Key Challenge:
Existing libraries (like py-handwriting) look too generic or robotic.
I need the output to capture unique character details (e.g., specific loops, slants, and imperfections) from the sample image.
It should look like real human writing, not a computer font.
What You Need to Do:
Select & Implement the Best Model: You have the creative freedom to choose the architecture (GANs, Diffusion Models, or Style Transfer). I am looking for the most realistic output.
Build a Simple Interface: A basic local web page (Flask/Streamlit) to upload the image and generate text.
Output Format: The system should generate high-resolution images (and preferably vector strokes if possible).
Requirements:
Experience with PyTorch/TensorFlow.
Knowledge of Generative AI (GANs, Diffusion, or Transformer-based style transfer).
Ability to work with Image Processing (OpenCV) to clean up input samples.
Python ML Developer Needed for Generative Handwriting Tool (AI Style Transfer)
Project Description:
I am looking for a skilled Machine Learning developer to build a "Few-Shot Handwriting Synthesis" tool.
The Concept:
I want to build a local web app where a user uploads one image of their handwriting, types some text, and the system generates that text in the exact style of the uploaded image.
Key Challenge:
Existing libraries (like py-handwriting) look too generic or robotic.
I need the output to capture unique character details (e.g., specific loops, slants, and imperfections) from the sample image.
It should look like real human writing, not a computer font.
What You Need to Do:
Select & Implement the Best Model: You have the creative freedom to choose the architecture (GANs, Diffusion Models, or Style Transfer). I am looking for the most realistic output.
Build a Simple Interface: A basic local web page (Flask/Streamlit) to upload the image and generate text.
Output Format: The system should generate high-resolution images (and preferably vector strokes if possible).
Requirements:
Experience with PyTorch/TensorFlow.
Knowledge of Generative AI (GANs, Diffusion, or Transformer-based style transfer).
Ability to work with Image Processing (OpenCV) to clean up input samples.