Radix Analytics Pvt Ltd

Topic Prediction for EdTech

Radix Analytics Pvt Ltd > Text Analytics > Topic Prediction for EdTech

Issues & Objectives

To develop ML based system for predictions for Online Test Preparation Systems:

  • Students are asked questions for there exam preparations
  • They may face issue with solving questions
  • Our aim is to build a ML and NLP based system that can accurately predict the topic/chapter of that question
  • Detecting appropriate topics removes the need for manual tagging and enables faster and frequent uploads of new questions/tests

Challenges

  • The questions are primarily on 4 subjects: Physics, Biology, Mathematics and Chemistry
  • Questions are available as text, but many of them contains images of text, figures, equations and chemical diagrams
  • Converting equations and chemical diagrams to appropriate formats for ML processing

Project information

Skills

Machine Learning

Client

EdTech

Domain

Natural Language Processing

Location

India

Topic_Prediction_for_EdTech

Solution

  • Natural Language Processing (NLP):
  • Images: Converted to text using appropriate Optical Character Recognition for different subjects
  • Text: Converted to vectors using Word2Vec
  • Algorithm(s): Deep Neural Network + Random Forest
  • Storage: AWS Cloud
  • Database: MariaDB (SQL)
  • Deployment Framework: Flask API + Gunicorn

Results

Test recall (KPI) for different Subjects are given as below

  • Physics: 92%
  • Biology: 88%
  • Chemistry: 89%
  • Mathematics: 89%

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