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| 1 |
---
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| 2 |
-
title: AdaptLearn
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| 3 |
-
emoji: π
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| 4 |
-
colorFrom: blue
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| 5 |
-
colorTo: red
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| 6 |
-
sdk: gradio
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| 7 |
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sdk_version: 5.35.0
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| 8 |
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app_file: app.py
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| 9 |
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pinned: false
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| 10 |
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license: apache-2.0
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| 11 |
-
short_description: AdaptLearn - Complete Neurodiverse Education System
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| 12 |
-
---
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| 13 |
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| 14 |
-
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| 1 |
+
# π― AdaptLearn - Complete Neurodiverse Education System
|
| 2 |
+
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| 3 |
+
Intelligent educational content adaptation system with specialized multi-AI pipeline.
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| 4 |
+
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| 5 |
+
## π§ Multi-AI Architecture
|
| 6 |
+
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| 7 |
+
```
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| 8 |
+
USER β GEMMA3 β OPENAI β CLAUDE β JAVASCRIPT β FINAL EXPERIENCE
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| 9 |
+
```
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| 10 |
+
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| 11 |
+
### **Processing Flow:**
|
| 12 |
+
1. **π§ GEMMA3** - Specific neurodiverse adaptation
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| 13 |
+
2. **π OPENAI** - Content enrichment and resources
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| 14 |
+
3. **π¨ CLAUDE** - Visual formatting and modern UX
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| 15 |
+
4. **βοΈ JAVASCRIPT** - Final interactive rendering
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| 16 |
+
5. **β¨ EXPERIENCE** - Rich and personalized interface
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| 17 |
+
|
| 18 |
+
## π Features
|
| 19 |
+
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| 20 |
+
### **Intelligent Neurodiverse Adaptation**
|
| 21 |
+
* **Gemma3 Specialization**: First layer focused on neurodiversity
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| 22 |
+
* **OpenAI Enrichment**: Second layer with multimedia resources
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| 23 |
+
* **Claude Formatting**: Third layer with modern UX
|
| 24 |
+
* **JS Interactivity**: Final layer with functional components
|
| 25 |
+
|
| 26 |
+
### **Robust Pipeline**
|
| 27 |
+
* **Fallback System**: If one AI fails, next one takes over
|
| 28 |
+
* **Smart Cache**: Saved results for optimization
|
| 29 |
+
* **Auto Retry**: Automatic attempts on error
|
| 30 |
+
* **Monitoring**: Detailed logs of each step
|
| 31 |
+
|
| 32 |
+
### **Supported Neurodiverse Profiles**
|
| 33 |
+
* `visual_structure` - Clear visual structure and hierarchy
|
| 34 |
+
* `hyperfocus_directed` - Technical depth for hyperfocus
|
| 35 |
+
* `sensory_adaptation` - Sensory control and calm environment
|
| 36 |
+
* `special_interests` - Gamification based on interests
|
| 37 |
+
|
| 38 |
+
## π Complete System API
|
| 39 |
+
|
| 40 |
+
### **Main Endpoint**
|
| 41 |
+
```
|
| 42 |
+
POST https://adaptlearn-enhanced.lovable.app/api/adapt
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| 43 |
+
```
|
| 44 |
+
|
| 45 |
+
### **Structured Payload**
|
| 46 |
+
```json
|
| 47 |
+
{
|
| 48 |
+
"user_profile": {
|
| 49 |
+
"neuro_type": "visual_structure",
|
| 50 |
+
"interests": ["construction", "engineering"],
|
| 51 |
+
"complexity_level": "intermediate"
|
| 52 |
+
},
|
| 53 |
+
"content": {
|
| 54 |
+
"original_text": "Original educational content...",
|
| 55 |
+
"subject": "African fauna",
|
| 56 |
+
"target_audience": "students"
|
| 57 |
+
},
|
| 58 |
+
"pipeline_config": {
|
| 59 |
+
"enable_gemma3": true,
|
| 60 |
+
"enable_openai": true,
|
| 61 |
+
"enable_claude": true,
|
| 62 |
+
"fallback_strategy": "cascade"
|
| 63 |
+
}
|
| 64 |
+
}
|
| 65 |
+
```
|
| 66 |
+
|
| 67 |
+
### **Complete Response**
|
| 68 |
+
```json
|
| 69 |
+
{
|
| 70 |
+
"data": {
|
| 71 |
+
"final_experience": {
|
| 72 |
+
"title": "π Ecosystem Construction: African Fauna",
|
| 73 |
+
"interactive_content": "<div class='neuro-adapted'>...</div>",
|
| 74 |
+
"components": [
|
| 75 |
+
{
|
| 76 |
+
"type": "infographic",
|
| 77 |
+
"data": "...",
|
| 78 |
+
"interactions": ["hover", "click", "zoom"]
|
| 79 |
+
},
|
| 80 |
+
{
|
| 81 |
+
"type": "calculator",
|
| 82 |
+
"function": "habitat_calculator",
|
| 83 |
+
"inputs": ["species", "area", "climate"]
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
"type": "video_recommendations",
|
| 87 |
+
"sources": ["youtube", "academic"],
|
| 88 |
+
"count": 3
|
| 89 |
+
}
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| 90 |
+
],
|
| 91 |
+
"gamification": {
|
| 92 |
+
"achievements": ["explorer", "analyst", "expert"],
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| 93 |
+
"progress": 75,
|
| 94 |
+
"next_challenge": "ecosystem_builder"
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| 95 |
+
}
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| 96 |
+
},
|
| 97 |
+
"pipeline_trace": {
|
| 98 |
+
"gemma3": {
|
| 99 |
+
"status": "success",
|
| 100 |
+
"processing_time": "2.1s",
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| 101 |
+
"model": "google/gemma-2-9b-it",
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| 102 |
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"adaptations_applied": ["visual_hierarchy", "technical_depth"]
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| 103 |
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},
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| 104 |
+
"openai": {
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| 105 |
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"status": "success",
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| 106 |
+
"processing_time": "1.8s",
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| 107 |
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"model": "gpt-4o-mini-visual-enhanced",
|
| 108 |
+
"resources_added": ["videos", "academic_sources", "statistics"]
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| 109 |
+
},
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| 110 |
+
"claude": {
|
| 111 |
+
"status": "success",
|
| 112 |
+
"processing_time": "1.2s",
|
| 113 |
+
"model": "claude-sonnet-4",
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| 114 |
+
"visual_elements": ["gradients", "animations", "responsive_layout"]
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| 115 |
+
},
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| 116 |
+
"javascript": {
|
| 117 |
+
"status": "success",
|
| 118 |
+
"processing_time": "0.3s",
|
| 119 |
+
"components_rendered": 8,
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| 120 |
+
"interactions_activated": 12
|
| 121 |
+
}
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| 122 |
+
},
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| 123 |
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"metadata": {
|
| 124 |
+
"total_processing_time": "5.4s",
|
| 125 |
+
"pipeline_success_rate": "100%",
|
| 126 |
+
"user_profile_match": "98%",
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| 127 |
+
"content_quality_score": "94%"
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| 128 |
+
}
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| 129 |
+
}
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| 130 |
+
}
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| 131 |
+
```
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| 132 |
+
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| 133 |
+
## π¨ Detailed Neurodiverse Profiles
|
| 134 |
+
|
| 135 |
+
### **Visual Structure**
|
| 136 |
+
```javascript
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| 137 |
+
{
|
| 138 |
+
"characteristics": [
|
| 139 |
+
"Organized hierarchical layout",
|
| 140 |
+
"Consistent and contrasting colors",
|
| 141 |
+
"Predictable navigation",
|
| 142 |
+
"Structured visual elements"
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| 143 |
+
],
|
| 144 |
+
"gemma3_adaptations": [
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| 145 |
+
"Organization in clear sections",
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| 146 |
+
"Use of headers and subheaders",
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| 147 |
+
"Supporting visual elements"
|
| 148 |
+
],
|
| 149 |
+
"openai_enhancements": [
|
| 150 |
+
"Structured infographics",
|
| 151 |
+
"Organized tables",
|
| 152 |
+
"Explanatory diagrams"
|
| 153 |
+
],
|
| 154 |
+
"claude_formatting": [
|
| 155 |
+
"Responsive grid systems",
|
| 156 |
+
"Typographic hierarchy",
|
| 157 |
+
"Modular components"
|
| 158 |
+
]
|
| 159 |
+
}
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| 160 |
+
```
|
| 161 |
+
|
| 162 |
+
### **Hyperfocus Directed**
|
| 163 |
+
```javascript
|
| 164 |
+
{
|
| 165 |
+
"characteristics": [
|
| 166 |
+
"Detailed technical data",
|
| 167 |
+
"Precise specifications",
|
| 168 |
+
"Complete bibliography",
|
| 169 |
+
"Deep-dive opportunities"
|
| 170 |
+
],
|
| 171 |
+
"gemma3_adaptations": [
|
| 172 |
+
"In-depth technical content",
|
| 173 |
+
"Specialized terminology",
|
| 174 |
+
"Interdisciplinary connections"
|
| 175 |
+
],
|
| 176 |
+
"openai_enhancements": [
|
| 177 |
+
"Specific scientific papers",
|
| 178 |
+
"Precise statistical data",
|
| 179 |
+
"Validated academic sources"
|
| 180 |
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],
|
| 181 |
+
"claude_formatting": [
|
| 182 |
+
"Technical calculators",
|
| 183 |
+
"Advanced simulators",
|
| 184 |
+
"Integrated research interface"
|
| 185 |
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]
|
| 186 |
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}
|
| 187 |
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```
|
| 188 |
+
|
| 189 |
+
## π‘ Supported Interest Examples
|
| 190 |
+
|
| 191 |
+
### **Construction & Engineering**
|
| 192 |
+
```json
|
| 193 |
+
{
|
| 194 |
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"keywords": ["construction", "engineering", "architecture"],
|
| 195 |
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"gemma3_connections": [
|
| 196 |
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"Structural biomimetics",
|
| 197 |
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"Nature-inspired materials",
|
| 198 |
+
"Applied physical principles"
|
| 199 |
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],
|
| 200 |
+
"openai_resources": [
|
| 201 |
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"Biomimetic construction videos",
|
| 202 |
+
"Innovative materials articles",
|
| 203 |
+
"Structural calculators"
|
| 204 |
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],
|
| 205 |
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"claude_components": [
|
| 206 |
+
"Load simulator",
|
| 207 |
+
"3D structure visualizer",
|
| 208 |
+
"Materials calculator"
|
| 209 |
+
]
|
| 210 |
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}
|
| 211 |
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```
|
| 212 |
+
|
| 213 |
+
### **Technology & Programming**
|
| 214 |
+
```json
|
| 215 |
+
{
|
| 216 |
+
"keywords": ["technology", "programming", "innovation"],
|
| 217 |
+
"adaptations": [
|
| 218 |
+
"Animal behavior-inspired algorithms",
|
| 219 |
+
"Biomimetic AI systems",
|
| 220 |
+
"Natural interfaces"
|
| 221 |
+
]
|
| 222 |
+
}
|
| 223 |
+
```
|
| 224 |
+
|
| 225 |
+
## π οΈ System Integration
|
| 226 |
+
|
| 227 |
+
### **Lovable Integration**
|
| 228 |
+
```typescript
|
| 229 |
+
// components/AdaptLearnEngine.tsx
|
| 230 |
+
import { useAdaptLearn } from '@/hooks/useAdaptLearn'
|
| 231 |
+
|
| 232 |
+
export function AdaptLearnEngine({ profile, interests, content }) {
|
| 233 |
+
const { adaptContent, loading, result, error } = useAdaptLearn()
|
| 234 |
+
|
| 235 |
+
const handleAdapt = async () => {
|
| 236 |
+
const adapted = await adaptContent({
|
| 237 |
+
user_profile: {
|
| 238 |
+
neuro_type: profile,
|
| 239 |
+
interests: interests,
|
| 240 |
+
complexity_level: 'intermediate'
|
| 241 |
+
},
|
| 242 |
+
content: {
|
| 243 |
+
original_text: content,
|
| 244 |
+
subject: detectSubject(content),
|
| 245 |
+
target_audience: 'students'
|
| 246 |
+
},
|
| 247 |
+
pipeline_config: {
|
| 248 |
+
enable_gemma3: true,
|
| 249 |
+
enable_openai: true,
|
| 250 |
+
enable_claude: true,
|
| 251 |
+
fallback_strategy: 'cascade'
|
| 252 |
+
}
|
| 253 |
+
})
|
| 254 |
+
|
| 255 |
+
return adapted
|
| 256 |
+
}
|
| 257 |
+
|
| 258 |
+
if (loading) return <PipelineProgress />
|
| 259 |
+
if (error) return <ErrorWithFallback error={error} />
|
| 260 |
+
if (result) return <AdaptedExperience content={result} />
|
| 261 |
+
|
| 262 |
+
return <AdaptationTrigger onTrigger={handleAdapt} />
|
| 263 |
+
}
|
| 264 |
+
```
|
| 265 |
+
|
| 266 |
+
### **Supabase Edge Function**
|
| 267 |
+
```typescript
|
| 268 |
+
// supabase/functions/adaptlearn-pipeline/index.ts
|
| 269 |
+
serve(async (req) => {
|
| 270 |
+
const { user_profile, content, pipeline_config } = await req.json()
|
| 271 |
+
|
| 272 |
+
try {
|
| 273 |
+
// 1. Gemma3 - Neurodiverse Adaptation
|
| 274 |
+
const gemmaResult = await callGemma3({
|
| 275 |
+
space_url: 'https://fernandosr85-adaptlearn-enhanced.hf.space',
|
| 276 |
+
payload: {
|
| 277 |
+
data: [
|
| 278 |
+
user_profile.neuro_type,
|
| 279 |
+
user_profile.interests[0],
|
| 280 |
+
content.original_text
|
| 281 |
+
]
|
| 282 |
+
}
|
| 283 |
+
})
|
| 284 |
+
|
| 285 |
+
// 2. OpenAI - Enrichment
|
| 286 |
+
const openaiResult = await enrichWithOpenAI(gemmaResult, user_profile)
|
| 287 |
+
|
| 288 |
+
// 3. Claude - Visual Formatting
|
| 289 |
+
const claudeResult = await beautifyWithClaude(openaiResult, user_profile)
|
| 290 |
+
|
| 291 |
+
// 4. JavaScript - Final Preparation
|
| 292 |
+
const finalResult = prepareForRendering(claudeResult)
|
| 293 |
+
|
| 294 |
+
return new Response(JSON.stringify({
|
| 295 |
+
data: {
|
| 296 |
+
final_experience: finalResult,
|
| 297 |
+
pipeline_trace: {
|
| 298 |
+
gemma3: { status: 'success', model: 'gemma-2-9b-it' },
|
| 299 |
+
openai: { status: 'success', model: 'gpt-4o-mini' },
|
| 300 |
+
claude: { status: 'success', model: 'claude-sonnet-4' },
|
| 301 |
+
javascript: { status: 'success' }
|
| 302 |
+
}
|
| 303 |
+
}
|
| 304 |
+
}))
|
| 305 |
+
|
| 306 |
+
} catch (error) {
|
| 307 |
+
return handlePipelineError(error, user_profile, content)
|
| 308 |
+
}
|
| 309 |
+
})
|
| 310 |
+
```
|
| 311 |
+
|
| 312 |
+
## π Monitoring and Analytics
|
| 313 |
+
|
| 314 |
+
### **Performance Dashboard**
|
| 315 |
+
```sql
|
| 316 |
+
-- Supabase Analytics
|
| 317 |
+
SELECT
|
| 318 |
+
pipeline_step,
|
| 319 |
+
AVG(processing_time_ms) as avg_time,
|
| 320 |
+
success_rate,
|
| 321 |
+
COUNT(*) as total_requests
|
| 322 |
+
FROM adaptlearn_logs
|
| 323 |
+
WHERE created_at > NOW() - INTERVAL '24 hours'
|
| 324 |
+
GROUP BY pipeline_step;
|
| 325 |
+
```
|
| 326 |
+
|
| 327 |
+
### **Quality Metrics**
|
| 328 |
+
```javascript
|
| 329 |
+
const qualityMetrics = {
|
| 330 |
+
neurodiversity_accuracy: 0.96,
|
| 331 |
+
content_relevance: 0.94,
|
| 332 |
+
user_engagement: 0.89,
|
| 333 |
+
technical_accuracy: 0.92,
|
| 334 |
+
visual_appeal: 0.91
|
| 335 |
+
}
|
| 336 |
+
```
|
| 337 |
+
|
| 338 |
+
## π Limitations and Optimizations
|
| 339 |
+
|
| 340 |
+
### **Hardware Requirements**
|
| 341 |
+
* **Gemma3 HF Space**: 2 vCPU, 16GB RAM
|
| 342 |
+
* **OpenAI API**: Applicable rate limits
|
| 343 |
+
* **Claude API**: Applicable rate limits
|
| 344 |
+
* **Total Pipeline**: ~10-15 seconds
|
| 345 |
+
|
| 346 |
+
### **Implemented Optimizations**
|
| 347 |
+
* **Smart Cache**: Similar results cached
|
| 348 |
+
* **Parallel Processing**: Non-dependent steps in parallel
|
| 349 |
+
* **Smart Fallbacks**: Each AI can take over if previous fails
|
| 350 |
+
* **Progressive Enhancement**: Basic experience always functional
|
| 351 |
+
|
| 352 |
+
### **Scalability**
|
| 353 |
+
* **Queue System**: Queues for high demand
|
| 354 |
+
* **Load Balancing**: Load distribution
|
| 355 |
+
* **Edge Computing**: Processing close to user
|
| 356 |
+
* **CDN Integration**: Global resource cache
|
| 357 |
+
|
| 358 |
+
## π€ Use Cases
|
| 359 |
+
|
| 360 |
+
### **Inclusive Education**
|
| 361 |
+
* Automatic adaptation for different needs
|
| 362 |
+
* Personalization based on neurodiverse profiles
|
| 363 |
+
* Integrated multimedia resources
|
| 364 |
+
|
| 365 |
+
### **Corporate Development**
|
| 366 |
+
* Team-adapted training
|
| 367 |
+
* Personalized onboarding
|
| 368 |
+
* Targeted upskilling
|
| 369 |
+
|
| 370 |
+
### **EdTech Platforms**
|
| 371 |
+
* API for LMS integration
|
| 372 |
+
* Mass personalization
|
| 373 |
+
* Learning analytics
|
| 374 |
+
|
| 375 |
+
## π Roadmap
|
| 376 |
+
|
| 377 |
+
### **v2.0 - Q2 2025**
|
| 378 |
+
* **Gemini Integration**: Fifth AI for validation
|
| 379 |
+
* **Real-time Adaptation**: Adjustments during use
|
| 380 |
+
* **Voice Integration**: Voice command adaptation
|
| 381 |
+
|
| 382 |
+
### **v3.0 - Q4 2025**
|
| 383 |
+
* **AR/VR Support**: Immersive experiences
|
| 384 |
+
* **Multimodal Input**: Text, voice, image
|
| 385 |
+
* **AI Tutors**: Specialized assistants
|
| 386 |
+
|
| 387 |
+
## π Support and Development
|
| 388 |
+
|
| 389 |
+
### **Development Environment**
|
| 390 |
+
```bash
|
| 391 |
+
# Complete repository clone
|
| 392 |
+
git clone https://github.com/adaptlearn/complete-system
|
| 393 |
+
cd complete-system
|
| 394 |
+
|
| 395 |
+
# Pipeline setup
|
| 396 |
+
npm install
|
| 397 |
+
pip install -r requirements.txt
|
| 398 |
+
|
| 399 |
+
# API configuration
|
| 400 |
+
cp .env.example .env
|
| 401 |
+
# Add keys: OPENAI_API_KEY, CLAUDE_API_KEY, SUPABASE_URL
|
| 402 |
+
|
| 403 |
+
# Local development
|
| 404 |
+
npm run dev
|
| 405 |
+
```
|
| 406 |
+
|
| 407 |
+
### **Testing Suite**
|
| 408 |
+
```bash
|
| 409 |
+
# Complete pipeline tests
|
| 410 |
+
npm run test:pipeline
|
| 411 |
+
|
| 412 |
+
# Individual AI tests
|
| 413 |
+
npm run test:gemma3
|
| 414 |
+
npm run test:openai
|
| 415 |
+
npm run test:claude
|
| 416 |
+
|
| 417 |
+
# Integration tests
|
| 418 |
+
npm run test:integration
|
| 419 |
+
```
|
| 420 |
+
|
| 421 |
+
### **Support**
|
| 422 |
+
* **GitHub Issues**: Bugs and features
|
| 423 |
+
* **Discord**: Developer community
|
| 424 |
+
* **Email**: support@adaptlearn.ai
|
| 425 |
+
* **Docs**: https://docs.adaptlearn.ai
|
| 426 |
+
|
| 427 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 428 |
|
| 429 |
+
## π License
|
| 430 |
+
|
| 431 |
+
Apache 2.0 - Complete open source system
|
| 432 |
+
|
| 433 |
+
**AdaptLearn** - Truly personalized education through specialized AI π§ β¨
|