Autism Spectrum Disorder (ASD) Prediction
Miss. Senjuti Bhattacharya1, Miss. Rutuja More2, Mr. Mohit Shirke3, Prof. Amol Patil4
1Student, Dept. Information and Technology, A.C. Patil College of Engineering, Maharashtra, India
2Student, Dept. Information and Technology, A.C. Patil College of Engineering, Maharashtra, India
3Student, Dept. Information and Technology, A.C. Patil College of Engineering, Maharashtra, India
4Professor, Dept. Information and Technology, A.C. Patil College of Engineering, Maharashtra, India
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Abstract - Autism spectrum disorder (ASD) is a complex developmental condition which involves persistent challenges in social interaction, speech along with nonverbal communication, and restricted/repetitive behaviors. Effects of ASD and the severity of symptoms are different from person to person. Early diagnosis and treatment are important in managing the symptoms of autism and improving quality of life for people with autism and their families. There is no medical test for autism. It is diagnosed based on observing how the child talks and acts in comparison to their peers (children of the same age). We will be building a model for predicting ASD like traits on the basis of simple curated questions asked to the child or their parents/caregivers with the of Machine Learning’s Supervise Learning Algorithm – KNN Classifier Model and will be deployed by Flask. Flask also Jinja 2 is a template engine written in pure Python. This provides with a Django-inspired non-XML syntax but supports inline expressions and an optional sandboxed environment. Flask is a Python-based micro web framework which allows you to write web applications quickly and efficiently. Flask uses templates to expand the functionality of its web applications while maintaining a simple and organized file structure. Templates are enabled using Jinja2 template engine and allow data to be shared and processed before being turned into content and sent back to the client.[6].
Key Words: ASD, KNN, K Nearest Neighbors Classifier, Flask, Jinja 2
