Autism Spectrum Disorder (ASD) Diagnosis and Reinforcement by Machine Learning and Neural Networks

In the contemporary world, Autism Spectrum Disorder (ASD) is a prevalent issue that affects one’s ability to socialize, their actions, learning, and cognitive abilities. ASD is coined as a neurological condition whose effects can be minimized upon appropriate conditioning at a preliminary stage. A gradual spike in the number of ASD reported cases unveiled a desperate need to utilize advances in technology to develop easily applied educational, behavioral, and family therapies that support cognitive development. To resolve these drawbacks, a system has been developed, where parents/guardians would answer questions on the checklist and upload images to determine whether their child may possess the disorder and if they should seek medical support. The system would redirect them to the nearest care centers to visit the medical professionals with their concerns. An automated interface is also embedded to aid them in completing daily tasks. Conoerning the difficulties faced in conveying thoughts and needs, the system provides a communication board that can be personalized as per user requirements. Finally, a social networking medium where they can showcase their talent, get appreciation and motivation to overcome the difficulties they face has been implemented. Overall, the system aims at reinforcing the autistic community coupled with prognosis.