Autism System

AI-powered autism support platform.

🔗 Live Demo

👉 Try the interactive simulation here: Hugging Face Space

🔹 Real-World Motivation

Children with Autism Spectrum Disorder (ASD) often face challenges in emotional recognition, communication, and cognitive development. Traditional support   systems may lack personalization and continuous monitoring.

This project aims to bridge that gap by building an AI-powered assistive platform that provides:

Personalized learning experiences
Emotion-aware interaction
Continuous behavioral tracking

🔹 Core System Features

🧠 Intelligent AI Modules
Emotion Recognition System
Detects facial expressions and classifies emotional states
AI Chatbot Assistant
Provides real-time responses and guidance
Prediction & Analysis Engine
Uses behavioral data to generate insights and learning recommendations
👨‍👩‍👧 Support & Interaction Modules
User Management System
Secure login and role-based access
Activity & Quiz Engine
Interactive exercises to improve cognitive and social skills
Memory Diary
Tracks daily activities and behavioral patterns
📊 Smart Monitoring & Insights
Progress tracking for children
Performance analytics for caregivers
AI-driven recommendations for improvement

🔹 System Architecture

Frontend → HTML, CSS, JavaScript
Backend → Python
AI Layer → Machine Learning Models
Deployment → Docker + Hugging Face Spaces

🔹 Key Highlights

Personalized learning using AI
Real-time interaction via chatbot
Behavior tracking and prediction
Modular and scalable architecture
Accessible and user-friendly design

🔹 Module Overview

Module Name	Description
User Management	Handles authentication and user data
Activity & Quiz Engine	Conducts interactive learning tasks
Memory Diary	Stores daily logs and progress
Chatbot System	Answers user queries
AI Module	Performs prediction and analysis

🔹 Future Scope

Advanced deep learning for improved emotion detection
Voice-enabled interaction for accessibility
Mobile application support
Integration with wearable health monitoring devices
Real-time therapist feedback system

🔹 Use Cases

Autism support centers
Special education institutions
Home-based therapy assistance
Caregiver monitoring systems

🔹 License

This project is intended for research and educational purposes.

🔹 Installation & Submission

1. Local Install:

   pip install -r requirements.txt
   python main.py

2. Docker Deployment:

   docker build -t autism-system .
   docker run -p 7860:7860 autism-system