Detect autism with AutismVision

Leveraging the power of Artificial Intelligence (AI), Machine Learning (ML), and Convolutional Neural Networks (CNN) algorithms, we're pioneering a novel approach to identifying ASD in children at an early stage using facial image data

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Specialised Service

Detection using face

80%+ accurate prediction

Relaibility Rate is Higher

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Why AutismVision?

Autism spectrum disorder poses unique challenges, but early diagnosis and intervention can significantly enhance outcomes for individuals and their families. That's why our mission is to develop a cutting-edge solution that enables prompt detection of ASD through the analysis of facial features and expressions.

We use CNN models and compare their performance with each other for maximum accuracy, in the final hope of accurately reaching a conclusion that is robust.

CNN Convolutional Neural Network

4 Team Members

Model_2 VGG19

Model_1 VGG16

About us

What is AutismVision

ASD

Autism Spectrum Disorder (ASD) is a neuro-disorder in which a child or a person has a lifelong effect on interaction and communication with others. It is diagnosed at any stage in life It is called “behavioral disease” .

CNN

CNN, or Convolutional Neural Network, is a deep learning model commonly used for image recognition and classification tasks.

VGG16

VGG16 is a deep convolutional neural network architecture famous for image classification, featuring 16 layers, widely used in computer vision.

VGG19

VGG19, an extension of VGG16, is a deep convolutional neural network with 19 layers, often used for image recognition tasks.

Meet Our Team

Contributing To AutismVision.

Dev Vishnu Srivastav Data scientist

Arindam Rawat Devloper

Hitanshu Singh Devloper

Siddharth Bansal ML engineer