Published Paper Details:

In present day autism spectrum disorder (ASD) is gaining its momentum faster than ever. Applying Image processing technique Detecting autism traits through screening tests is very expensive and time consuming. With the advancement of artificial intelligence and machine learning (ML), autism can be predicted at quite an early stage. Though a number of studies have been carried out using different techniques, these studies didn't provide any definitive conclusion about predicting autism traits in terms of different age groups. Therefore, this paper aims to propose an effective prediction model based on ML technique and to develop a user interface forpredicting ASD for people of any age. As outcomes of this research, an autism prediction model was developed by merging Random Forest-CART (Classification and Regression Trees) and Random Forest-ID3 (Iterative Dichotomiser 3) and cnn algorithm also a user interface was developed based on the proposed prediction model. The proposed model was evaluated with AQ10 dataset and 250 real datasets collected from people with and without autistic traits.city, sensitivity, precision and false positive rate (FPR) for thThe evaluation results showed that the proposed prediction model provides better results in terms of accuracy, specifie data