🌼 SpringBloom

ASD Early Screening × Home Intervention × Pre-Visit System

Your AI ASD Early Screening, Home Intervention & Pre-Visit Assistant
Turning waiting time into structured action for families and clinicians

A structured family-side infrastructure layer for Autism Spectrum Disorder (ASD)

What is SpringBloom? • Core Modules • Product Screenshots • System Workflows • Run Locally • Vision

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🖼 Product Screenshots

AI-assisted early screening, structured home intervention, and clinician-ready packaging in one continuous flow.

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💡 What is SpringBloom?

SpringBloom is an AI-powered structured support framework designed for Autism Spectrum Disorder (ASD) family scenarios.

It connects three critical phases into a continuous pathway:

• 🟡 Early Screening Preparation
• 🟢 Structured Home-Based Intervention
• 🔵 Pre-Visit Clinical Information Packaging

Rather than functioning as a diagnostic system, SpringBloom extends standardized and repeatable processes from clinical environments into real-world family settings.

It enables:

• Structured action during waiting periods
• Longitudinal behavioral documentation
• Improved consultation readiness

SpringBloom does not provide diagnosis or replace clinical judgment.
It operates strictly as a structured family-side support infrastructure.

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🧩 Core Modules

SpringBloom is built as a progressive system aligned with real family workflows.

1️⃣ ASD Early Screening Module

• Guided questionnaires with behavioral boundary clarification
• Scenario-based home tasks
• AI-assisted interpretation of behavioral frequency & initiation
• Structured screening preparation reports

Goal: Improve clarity and readiness before formal evaluation.

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2️⃣ AI Home Intervention Engine

• Converts behavioral principles (e.g., BSR-based logic) into short actionable steps
• Structured 3–5 step outputs for real-life situations
• One-line rationale explanations
• Designed for mealtime, transitions, emotional regulation, bedtime, and daily routines

Goal: Increase execution consistency within natural environments.

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3️⃣ Behavioral Structuring & Video Analysis

• Short video upload with structured tagging
• Event-based logging
• Context-aware behavioral interpretation
• Longitudinal trend comparison

Goal: Transform fragmented observations into organized longitudinal evidence.

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4️⃣ Parent Support Community

• Stage-aligned peer discussions
• Case reflection sharing
• Structured knowledge exchange
• Expectation calibration and adherence support

Goal: Improve long-term sustainability and reduce drop-off risk.

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5️⃣ Clinician Pre-Visit Module

When sufficient data is accumulated, SpringBloom generates:

• Core concern summary
• Representative behavioral examples
• Timeline and change trends
• Pending clarification checklist

Goal: Increase information density during limited consultation time.

SpringBloom enhances preparation quality without replacing medical decision-making.

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🎯 Target Users

• Families with suspected ASD (ages 2–6)
• Families with confirmed ASD diagnosis
• Developmental pediatricians
• Child psychiatrists
• Early intervention centers

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🔐 Compliance & Data Principles

• No diagnostic output
• No prescription or treatment decisions
• Explicit risk alerts recommending in-person evaluation
• Encrypted storage
• User-controlled data deletion
• Structured consent management

SpringBloom remains a family-side structured infrastructure layer.

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📊 System Workflow Diagrams

This section keeps two comprehensive diagrams:

• An end-to-end family journey from onboarding to intervention and pre-visit preparation
• A data aggregation & packaging flow from multi-source family data to clinician-ready artifacts

🔹 End-to-End Family Journey

 ┌────────────────────────────────────────────────────────────────────┐
 │                        FAMILY-SIDE JOURNEY                        │
 └────────────────────────────────────────────────────────────────────┘

        ┌──────────────────────────┐
        │ Family Onboarding        │
        │ (profile, concerns,      │
        │  basic consent)          │
        └──────────────┬───────────┘
                       │
                       ▼
        ┌───────────────────────────┐
        │ Risk & Stage Triage       │
        │ (age, red flags, history) │
        └──────────────┬─────────── ┘
                       │
          ┌────────────┴───────────────┐
          │                            │
          ▼                            ▼
┌──────────────────────┐      ┌──────────────────────┐
│ Light Concern Track  │      │ High Concern Track   │
│ (psychoeducation,    │      │ (prioritized         │
│  monitoring focus)   │      │  screening + alerts) │
└──────────┬───────────┘      └──────────┬───────────┘
           │                              │
           └──────────────┬───────────────┘
                          ▼
        ┌─────────────────────────────────────────────┐
        │ Early Screening Preparation                 │
        │ - Guided questionnaires                     │
        │ - Boundary clarification (freq/init/intens.)│
        │ - Scenario-based home tasks                 │
        └──────────────┬──────────────────────────────┘
                       │
                       ▼
        ┌─────────────────────────────────────────────┐
        │ AI Home Intervention Engine                 │
        │ - Parent describes scenario                 │
        │ - Context enrichment (time, setting, people)│
        │ - AI generates 3–5 BSR-based steps          │
        └──────────────┬──────────────────────────────┘
                       │
                       ▼
        ┌─────────────────────────────────────────────┐
        │ Execution & Reflection Loop                 │
        │ - Parent executes steps in routine          │
        │ - Log outcome (success/partial/fail)        │
        │ - Auto suggestion: reinforce / adjust plan  │
        └──────────────┬──────────────────────────────┘
                       │
                       ▼
        ┌─────────────────────────────────────────────┐
        │ Behavioral Structuring & Trend Tracking     │
        │ - Event / video logging                     │
        │ - Categorization (domain/function/intensity)│
        │ - Timeline & phase view                     │
        └──────────────┬──────────────────────────────┘
                       │
                       ▼
        ┌─────────────────────────────────────────────┐
        │ Pre-Visit Summary Preparation               │
        │ - Key concerns surfaced                     │
        │ - Representative examples selected          │
        │ - Trend snapshots for clinicians            │
        └─────────────────────────────────────────────┘

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🔹 Data Aggregation & Pre-Visit Packaging

 ┌────────────────────────────────────────────────────────────────────┐
 │                     DATA PIPELINE TO CLINICIANS                   │
 └────────────────────────────────────────────────────────────────────┘

               ┌────────────────────────────────┐
               │ Screening Dataset              │
               │ - questionnaires               │
               │ - boundary clarifications      │
               └──────────────┬─────────────────┘
                              │
               ┌──────────────┴─────────────────┐
               │ Intervention Dataset           │
               │ - scenario requests            │
               │ - AI plans & rationales        │
               │ - execution outcomes           │
               └──────────────┬─────────────────┘
                              │
               ┌──────────────┴─────────────────┐
               │ Behavioral Dataset             │
               │ - events & videos              │
               │ - coded categories             │
               │ - time-series trends           │
               └──────────────┬─────────────────┘
                              │
                              ▼
               ┌────────────────────────────────┐
               │ Data Normalization Layer       │
               │ - de-identification            │
               │ - time alignment               │
               │ - quality filters              │
               └──────────────┬─────────────────┘
                              │
                              ▼
               ┌────────────────────────────────┐
               │ Clinical Summary Builder       │
               │ - prioritize key concerns      │
               │ - map examples to concerns     │
               │ - attach trend visualizations  │
               └──────────────┬─────────────────┘
                              │
                  ┌───────────┴───────────┐
                  │                       │
                  ▼                       ▼
      ┌───────────────────────┐  ┌────────────────────────┐
      │ Parent-Facing Summary │  │ Clinician-Facing Packet│
      │ (plain language view) │  │ (structured, timeboxed │
      │                       │  │  for visit workflow)   │
      └───────────┬───────────┘  └────────────┬───────────┘
                  │                           │
                  └────────────┬──────────────┘
                               ▼
               ┌────────────────────────────────┐
               │ Secure Export / Sharing        │
               │ - PDF / portal link            │
               │ - explicit consent & revocation│
               └────────────────────────────────┘

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💻 Run Locally

git clone https://github.com/YourOrg/ASD-SpringBloom.git
cd ASD-SpringBloom
npm install

echo "GEMINI_API_KEY=your_api_key_here" > .env.local

npm run dev

Open in browser:

http://localhost:5173

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🔬 Vision

SpringBloom aims to build a structured infrastructure layer for ASD family-side data continuity and action consistency.

By transforming waiting periods into preparation time and daily routines into organized longitudinal evidence, SpringBloom contributes to a more efficient, scalable, and collaborative ASD support ecosystem.

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📄 License

This project is licensed under the MIT License.
See LICENSE for details.