Overview

This is an earlier applied machine-learning research project on Autism Spectrum Disorder (ASD) screening classification using Support Vector Machines and Convolutional Neural Networks. The work was published in the International Journal of Information Technology and Computer Science (IJITCS).

I keep this page as published research evidence, not as the center of my current applied-AI engineering story. My current engineering proof is Maintenance-Eye, and GovtIntel is the in-progress RAG system.

Publication

Published in: International Journal of Information Technology and Computer Science (IJITCS), Vol. 14, No. 4

Approach

  1. Data preparation - prepared ASD screening data for classification experiments
  2. Modeling - explored SVM and CNN approaches for binary classification
  3. Evaluation - compared model outputs using standard classification metrics
  4. Visualization - used Tableau to communicate dataset patterns and results

Tech Stack

  • Python
  • Scikit-learn
  • TensorFlow
  • Tableau

Key Takeaway

The project reflects early applied-ML research experience. I avoid using unsupported performance claims here unless the original training and evaluation evidence is available for review.