Autism Prediction and Learning Web Application

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dc.contributor.author Sana Khalid, 01-135201-090
dc.contributor.author Arooba Shehzad, 01-135201-117
dc.date.accessioned 2024-03-11T05:01:04Z
dc.date.available 2024-03-11T05:01:04Z
dc.date.issued 2024
dc.identifier.uri http://hdl.handle.net/123456789/17050
dc.description Supervised by Ms. Iqra Javed en_US
dc.description.abstract Autism Spectrum Disorder is a disorder of development that affects communication, social interaction, and behavior. At any stage of life, autism can be identified. It is regarded as a developmental disorder, which means, generally, it occurs when a child is two years old or less. This web application aims at facilitating early detection and prediction of autism spectrum disorder (ASD) in children’s age. It tries to come up with educational solutions targeting their very unique needs. In our web application, we use advanced machine-learning algorithms and data analytics methods to predict the chances of a child having an ASD (Autism Spectrum Disorder). In order to achieve this, we consider different issues. Using handmade flashcards is often simpler for parents and teachers in order to help facilitate learning and memory. Through this project, parents and teachers can create an interactive digital flashcard with attractive illustrations to make learning interesting for children. Parents will fill out a questionnaire to predict autism. Predicting Autism from Response. This project is going to be of enormous advantage to parents who have children with autism as it will tremendously improve their ability to learn. en_US
dc.language.iso en en_US
dc.publisher Computer Sciences en_US
dc.relation.ispartofseries BS (IT);P-02157
dc.subject Autism Prediction en_US
dc.subject Learning en_US
dc.subject Web Application en_US
dc.title Autism Prediction and Learning Web Application en_US
dc.type Project Reports en_US


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