Samyc2002 / MNIST-Image-Classification-Task

A ML algorithm to predict the drawn number

MNIST Flask App

A Flask web app for handwritten digits using a logistic regression model
Used as a follow up assignment with Chapter-1: Basics, ML Workshop, AI-Club, IIT Dharwad

Step 1: Download code

You can download this code using this link https://github.com/deepakhr1999/mnist-flask/archive/master.zip
Uncompress the zip file. The code must be in a folder called mnist-flask-master

Step 2: Google drive link for mnist data

Download these files into the master folder you just downloaded

• train.csv : https://drive.google.com/file/d/1-2wqdPvCunWwcenwZwCSYFfFwk38XEXO/view?usp=sharing
• test.csv : https://drive.google.com/file/d/1-DVETsf0kvowpAx8H6EDD7ZYJO8cPPRK/view?usp=sharing

Step 3: Install requirements

Run this command in the windows powershell

pip install scikit-image flask pandas scikit-learn

Step 4: Complete the missing code

• Complete missing code in the file named LogisticRegression/train.py
• In the mnist-flask-master folder, Shift + right-click and open powershell. Run the following command

python LogisticRegression/train.py --savefile SavedModels/logreg.pkl

Step 5: Start the flask app

• In the mnist-flask-master folder, Shift + right-click and open powershell. Run the following command

python app.py --model LR

• Open your favourite browser and go to the link http://localhost:5000
• Draw a digit and hit predict!
• The model you trained will be used to classify :)
• Expect medium performance, this is a simple model
• Way better than trying to write our own code (without ML) to identify patterns.