ASD-SpringBloom.AI

KO | EN

gitlite — search

#python #react #ai #golang #go #android #machine-learning #deep-learning #cli #awesome-list #pytorch #security #ios #openai

ASD-SpringBloom.AI

(★ 45)

ASD-SpringBloom is an intelligent support framework designed for Autism Spectrum Disorder (ASD) family scenarios. It focuses on three core components: early screening preparation, structured home-based intervention support, and pre-visit information packaging for clinical consultation. The system aims to extend standardized and repeatable processes

ASD-SpringBloom.AI 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

<div align="center">
  <img src="Asset/logo2.png" alt="SpringBloom Logo" width="800"/>
</div>

<h2 align="center">
  🌼 SpringBloom
</h2>

<h3 align="center">
  ASD Early Screening × Home Intervention × Pre-Visit System
</h3>

<p align="center">
  <strong>Your AI ASD Early Screening, Home Intervention & Pre-Visit Assistant</strong>  
  <br/>
  Turning waiting time into structured action for families and clinicians
</p>

<p align="center">
  <em>A structured family-side infrastructure layer for Autism Spectrum Disorder (ASD)</em>
</p>

<p align="center">
  <a href="#-what-is-springbloom">What is SpringBloom?</a> •
  <a href="#-core-modules">Core Modules</a> •
  <a href="#-product-screenshots">Product Screenshots</a> •
  <a href="#-system-workflow-diagrams">System Workflows</a> •
  <a href="#-run-locally">Run Locally</a> •
  <a href="#-vision">Vision</a>
</p>

---

### 🖼 Product Screenshots

<p align="center">
  <em>AI-assisted early screening, structured home intervention, and clinician-ready packaging in one continuous flow.</em>
</p>

---

## 💡 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.

---

## 🧩 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.

---

### 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.

---

### 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.

---

### 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.

---

### 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.

---

## 🎯 Target Users

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

---

## 🔐 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.

---

## 📊 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

```text
 ┌────────────────────────────────────────────────────────────────────┐
 │                        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            │
        └─────────────────────────────────────────────┘
```

---

### 🔹 Data Aggregation & Pre-Visit Packaging

```text
 ┌────────────────────────────────────────────────────────────────────┐
 │                     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│
               └────────────────────────────────┘
```

---

## 💻 Run Locally

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

```bash
echo "GEMINI_API_KEY=your_api_key_here" > .env.local
```

```bash
npm run dev
```

Open in browser:

```bash
http://localhost:5173
```

---

## 🔬 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.

---

## 📄 License

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

ASD-SpringBloom.AI

ASD-SpringBloom.AI 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

ASD-SpringBloom.AI

ASD-SpringBloom.AI 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README