Re-ignite 2.0 2K26 Ideathon
Idea-stage winning concept for offline-first AI screening in early childhood development
Concept • Not yet implementedDesigned an offline-first AI-enabled screening concept to help identify early developmental delay risks.
Target: Children aged 0–6 years
Users: Anganwadi workers, caregivers
Purpose: Early risk identification (not medical diagnosis)
Environment: Rural and low-connectivity settings
- First-level risk screening, not diagnosis
- Offline-first workflow for field workers
- On-device ML + local storage + background sync
- Designed for rural and underserved communities
- Aligned with early childhood development challenge goals
Proof & Validation