Samantha

Handwriting Classification

Role: Founder & Sole Developer
Duration: September – November 2021
Website

Purpose
Handwritten digits are currently labeled as distinct labels, yet there are cases in which digits can be seen in two different ways. I wanted to create a site where users can vote on what digit they see, creating a probability distribution to be used as training data for uncertain or fuzzy predictions.

Tasks

  1. Data Collection

I created a website where users can vote on a total of 100 questions. Users are not required to vote for all 100, and can submit as many answers as they want.

  1. Use machine learning to build a classification engine based on collected data
  2. Data analysis – analyze ambiguous digits to see the accuracy

Improvements
UI improvement on voting website – let users fill out more than 10 questions before submission

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