Hand_Writing_Replicator

The project aims to recognize handwritten images containing all English letters and digits from user input, followed by storing them in a dedicated database. Upon the user's request for the conversion of an English paragraph, the application seamlessly transforms the input string into the user's distinctive handwriting. This ensures a personalized and refined experience for users seeking a unique representation of their text in a handwritten format.

models trained on emnist data set with OVA(One versus Rest) Classification technique

Install requirements

conda create -P hwr
conda activate hwr/
conda install flask-cors
conda install flask
conda install python=3.10
conda install opencv
conda install pyjwt
conda install pymongo
pip install Flask-PyMongo
conda install bcrypt
conda install tensorflow

Run mongoDB server

#Linux
sudo systemctl start mongod

#windows
mongod

Run Server

conda activate hwr
cd /Backend/components
python3 index.py

Frontend is served on port 5000 on local host

Run Frontend Development with Vite

cd ./Capital_Hand_Writing_Replicator/Hwr-Front
npm install
npm run dev

preview

Writer :

Login page :

Dash board :

Guide :