AutiSmart
Comprehensive autism-care and therapy management platform with AI-assisted assessments.
Public Safety Note
This page intentionally presents a safe, high-level case study. Sensitive datasets, internal implementation details, and private source code are intentionally excluded.
Project Overview
AutiSmart is a Final Year Project (FYP) that addresses the critical need for integrated autism care management. The platform connects parents, therapists, educators, and healthcare administrators in a unified system for tracking progress, managing therapies, and facilitating better outcomes for individuals with autism spectrum disorder (ASD).
Problem Statement
Traditional autism care workflows are fragmented across multiple systems and providers. Parents juggle appointment scheduling, progress tracking, and communication with multiple therapists. Therapists lack unified client information and coordination tools. AutiSmart consolidates these fragmented workflows into a single, role-based platform designed specifically for autism care.
Core Features
- Role-Based Workflows: Separate interfaces for Parents (monitoring), Therapists (session management), Educators (progress in school), and Admins (system oversight)
- AI-Assisted Assessment: Integrated AI engine for initial ASD assessments and progress evaluation using standardized scales
- Therapy Management: Structured therapy planning, session scheduling, progress tracking, and outcome documentation
- Cross-Provider Coordination: Seamless information sharing between therapists, educators, and parents with role-based visibility
- Progress Analytics: Visual dashboards showing therapy progress, milestone achievement, and behavioral improvements over time
- Secure Patient Data: HIPAA-aligned data security with encrypted transmission and role-based access control
Technology Stack
Frontend
React.js with complex state management, role-based UI rendering, responsive design for mobile and desktop
Backend
Node.js with Express.js, JWT authentication, role-based authorization middleware, API rate limiting
Database
MySQL with normalized relational schema for secure patient data, ACID compliance for transactions
AI/ML Integration
Machine learning algorithms for assessment scoring and progress prediction
Architecture Decisions
- Role-aware access model used to keep clinical workflows separated and auditable
- Data lifecycle is structured for reliability, consistency, and healthcare-safe handling
- Modular service boundaries selected to keep assessment, reporting, and operations maintainable
- Audit-friendly workflow design supports responsible review of critical actions
Real-World Impact
- FYP selected for exemplary design addressing real healthcare challenges
- Demonstrated ability to build regulation-compliant healthcare software
- Showcased understanding of accessibility and inclusive design for neurodiverse users
- Integrated feedback from autism care professionals during development
Repository Status
Private repository maintained for project safety and responsible disclosure. Public documentation is intentionally limited to non-sensitive outcomes and workflow context.