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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 |