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deep-detect-my-handwriting's Introduction

Deep Detect My Handwriting

Table of contents

  1. Description
  2. Steps taken in this Project
  3. Installation and Usage

Description

An end to end deep learning project made by using streamlit for predicting handwritten drawn digits/alphabets via CNN & ANN.

Click here to try the app:

Open in Streamlit

Steps taken in this Project

  • Data collection
  • EDA & visualization
  • Model selection & building it
  • Evaluation of the models
  • Saving the models
  • Application program for real time usage
  • Deployment on streamlit-sharing

Installation and Usage

  • Requirements:
    • python >= 3.4
  • git clone https://github.com/AI-14/deep-detect-my-handwriting.git - clones the repository
  • cd deep-detect-my-handwriting
  • py -m venv yourVenvName - creates a virtual environment
  • yourVenvName\Scripts\activate.bat - activates the virtual environment
  • pip install -r requirements.txt - installs all modules
  • streamlit run src\main.py - runs the app

deep-detect-my-handwriting's People

Contributors

ai-14 avatar

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