Since 2020, Rocket Learning has used WhatsApp to deliver early-learning content to India's Anganwadi childcare network, training 1.3 million childcare workers and reaching 3 million children; an AI model built with Karya grades literacy/numeracy worksheets from photos with 97% ac
1300000
Anganwadi workers trained
97 %
Grading-model accuracy
1500000
Children covered by grading model
Details
Maturity
Scaling
Promoter
Rocket Learning (EKHO Foundation)
Period
2020–ongoing
Keywords
early childhood education, edtech, WhatsApp, AI/ML grading, workforce training
Context
Rocket Learning (EKHO Foundation), founded 2020 in New Delhi, sends personalised learning activities and coaching nudges to parents and Anganwadi workers over WhatsApp to strengthen India's public early-childhood-care system.
Results
The Star Educator Program has trained 1.3 million Anganwadi workers, reaching ~3 million children/parents across 10 states. A machine-learning grading model built with Karya, trained on 372,000 annotated worksheet images, reached 97% grading accuracy covering 1.5 million children.
Conclusions
Education Above All's own review notes 'further analysis will have to be carried out to understand the programme's entire impact.'
Implementation
Indicative cost
Low (< €50k)
Time to results
Medium (1–3 years)
Staffing & skills
Anganwadi workers (trained via Star Educator Program), ML engineering partner (Karya)
Conditions for success
high WhatsApp penetration among target households
large annotated-image training set for the grading model
Commonly funded by
Philanthropic / foundation funding
Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.
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Data sources
Where this practice's information was retrieved from, and when.
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