πΆ Stunting Crisis & AI Solution
Transforming Posyandu with Intelligent Growth Monitoring
π Indonesia Stunting Crisis
21.5%
Stunting Prevalence (2023)
6.3M
Children with Stunting in Indonesia
14.2%
National Plan Target (RPJMN) 2029
$25B
Estimated Economic Loss per Year
π¨ Current Problems in Posyandu
π
Manual Measurement
Inconsistent measurements, human error, and timeβconsuming for volunteers
π
Paper-based Records
Lost paperwork, difficult tracking, no automatic analytics
β°
Late Detection
Stunting detected too late, missed golden-period interventions
π₯
Volunteer Overload
One volunteer handles 50+ children; burnout and declining service quality
π€ AI-Powered Solution Process
πΆ
Child Positioning
Child stands next to an A4 sheet as a size reference
β
πΈ
Smart Capture
AIβguided camera with realβtime quality feedback
β
π
Vision Analysis
Vision AI detects the reference and computes dimensions
β
π
Height Estimation
Scaling algorithm with Β±2 cm accuracy
β
π
Growth Assessment
WHO Zβscore analysis and stunting risk detection
β‘ Transformation Impact
β Manual Process (Before)
- Manual measurement with tape/ruler
- Paper-based recordkeeping
- 5β10 minutes per child
- Inconsistent results
- Data easily lost
- No real-time analysis
- Volunteer burnout
β
AI Process (After)
- AI-powered height estimation
- Automatic digital recording
- 2β3 minutes per child
- Consistent Β±2 cm accuracy
- Data stored in the cloud
- Real-time growth analysis
- More productive volunteers
π‘ Key Innovation Features
π€
AI Vision Integration
First-of-its-kind AI anthropometry solution for community health workers at the Posyandu level
π±
Mobile-First Design
Designed specifically for Posyandu workflows with intuitive UI/UX
π
Offline-First Architecture
Works without an internet connection; auto-syncs when online for remote areas
π
WHO Standards Compliance
Growth charts and Zβscore calculations follow WHO growth standards
π₯ Posyandu Network Scale
π AI Technology Benefits
β‘
3Γ Faster
Data collection speed
π―
Β±2 cm Accuracy
Height estimation precision
π
95% Consistency
Measurement reliability
πΎ
100% Data Retention
Cloud storage backup
β±οΈ
Realβtime Analysis
Instant growth assessment
π
Offline Capable
Works without internet
π Expected Impact
π₯
1M+
Children Monitored Accurately
β°
6 Months
Earlier Stunting Detection
π°
$50M
Healthcare Cost Savings
π
50%
Faster Data Collection
π―
30%
Improved Intervention Rate
π₯
1000+
Posyandu Transformed