gokul-1998/handwriting_recognition

0

stars

13

commits

Python

primary language

Jan 3, 2026

updated

README

Handwriting OCR Readme

Project Overview

This is a simple Flask application that extracts the text from image and perform sentiment analysis in that in web application. It includes basic routes, template rendering.

Features

  • Image upload
  • Extration from image
  • Sentimental analysis

Installation

Prerequisites

Ensure you have the following installed:

  • Python (>= 3.x)
  • Python 3.11
  • pip (Python package manager)

Setup

  1. Clone the repository:
    git clone https://github.com/gokul-1998/handwriting_recognition/
    cd handwriting_recognition/
    
  2. Create environment file (optional):
    python3 -m venv env
    source env/bin/activate 
    
  3. Install dependencies:
    pip install -r requirements.txt
    

Folder Structure

handwriting_recognition/
│── app.py            # Main Flask application file
│── requirements.txt  # Dependencies
│── templates/        # HTML templates (Jinja2)
│── static/           # Static files (CSS)
|── .gitignore        # Ignore file
│── README.md         # Project documentation

4.Need build in tools Microsoft Visual studio c++ tools

5.Development operating system Windows 11

Contributors

fintech-vit

2 commits

gokul-1998

1 commits

gokul-1998/handwriting_recognition

0

stars

13

commits

Python

primary language

Jan 3, 2026

updated

README

Handwriting OCR Readme

Project Overview

This is a simple Flask application that extracts the text from image and perform sentiment analysis in that in web application. It includes basic routes, template rendering.

Features

  • Image upload
  • Extration from image
  • Sentimental analysis

Installation

Prerequisites

Ensure you have the following installed:

  • Python (>= 3.x)
  • Python 3.11
  • pip (Python package manager)

Setup

  1. Clone the repository:
    git clone https://github.com/gokul-1998/handwriting_recognition/
    cd handwriting_recognition/
    
  2. Create environment file (optional):
    python3 -m venv env
    source env/bin/activate 
    
  3. Install dependencies:
    pip install -r requirements.txt
    

Folder Structure

handwriting_recognition/
│── app.py            # Main Flask application file
│── requirements.txt  # Dependencies
│── templates/        # HTML templates (Jinja2)
│── static/           # Static files (CSS)
|── .gitignore        # Ignore file
│── README.md         # Project documentation

4.Need build in tools Microsoft Visual studio c++ tools

5.Development operating system Windows 11

Contributors

fintech-vit

2 commits

gokul-1998

1 commits

Languages

Python

67.6%

HTML

16.6%

CSS

15.8%