Harshit Dave

The Unified Machine Learning Framework

This project is used to detect neurodevelopmental disorder in child, adolescents and adults.This is a mini-project (ITIT-3203) under the supervision of Dr. Saumya Bhadauria. Used 5 machine learning techniques (Logistic Regression, Decision Tree, Naive Bayes, KNN and ANN) on three different datasets. Please readme for the results.

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In this project, I predicted whether fruit is rotten or not using sequential model, ResNet50v2 and VGG16, trained all of them using the Fruit fresh and rotten for classification Kaggle dataset. Got an accuracy of 96.96%, 97.41% and 91.4% respectively. Please see readme for details.