AI for Autism - Assisted Communication

AI for Autism. Communication Without Barriers.

Innovative AI system to analyze behavioral patterns in autistic children and facilitate non-verbal communication with 82% accuracy.

AI Autism Communication Dashboard
Live
Face Tracking
Emotion: Happiness 85%
Real-time facial analysis
Active recognition

Technical Metrics

System Latency 1.2s
Throughput 95 fps
Tracking Precision 98.5%
CPU Usage 45%
Memory Usage 2.1GB
Uptime 99.9%
40%
Decoding Time Reduction

From 10 to 6 minutes per session

82%
Interpretation Accuracy

Accurate emotional interpretation

25%
Interaction Improvement

Patient-therapist

200
Active Users

Across 5 implemented clinics

AI for Autism Communication

Innovative AI system that analyzes behavioral patterns to facilitate non-verbal communication in autistic children

Advanced Behavioral Analysis

The system uses open-source NLP models and visual recognition to interpret gestures, expressions and vocalizations. Reduces signal decoding time by 40% and improves interactions by 25%.

Behavioral pattern recognition
YOLOv5 facial expression analysis
Mobile app for therapists

Clinical Results

Decoding Time Reduction 40%
Interpretation Accuracy 82%
Interaction Improvement 25%
Simultaneous Users 1,000

Main Features

Advanced NLP Analysis

Grok, LLaMA and Qwen models for interpreting vocalizations and linguistic patterns with 82% accuracy in behavioral analysis.

Accuracy: 82%

Visual Recognition

YOLOv5 for facial expression and gesture analysis, reducing signal decoding time from 10 to 6 minutes per session.

Time: -40%

Integrated Mobile App

React Native mobile app for therapists and families supporting 1,000 simultaneous users for monitoring and interventions.

Users: 1,000

Clinical Applications

Real-world applications of the AI system for autism in clinical and educational contexts

Clinical Therapy

Support for therapists in interpreting non-verbal signals during sessions, improving therapeutic intervention effectiveness.

Real-time session analysis
Automatic progress reports

Educational Support

Integration in school environments to facilitate communication between autistic students and teachers, promoting inclusion.

Behavioral monitoring
Personalized strategies

Family Support

Mobile app for parents and caregivers providing insights into behavioral patterns and personalized communication improvement suggestions.

Behavior tracking
Personalized advice

Technology Stack

NLP Models

Grok, LLaMA, Qwen for behavioral analysis

Computer Vision

YOLOv5 for visual recognition

Mobile App

Mobile app for therapists and families

Cloud Infrastructure

Scales for 1,000 simultaneous users

Case Study Results

Clinical Context

A pediatric clinic needed a system to improve communication with autistic children, as described in the presentation.

Implemented Solution

X Quantum Tech developed an AI system that analyzes behavioral patterns (gestures, expressions, vocalizations) using open-source NLP models and visual recognition, with mobile app for therapists and families.

Measurable Results

Signal decoding time reduction 40%
Emotional interpretation accuracy 82%
Patient-therapist interaction improvement 25%
Implemented in clinics 5
Active users 200