Strengthening Foundational Learning Outcomes through AI-Enabled Feedback Loops
Case at a Glance
Impact
~1.2 million
children supported daily through AI-enabled worksheet autocorrection
50,000+
worksheets auto-corrected each day across multiple states
>90%
automated grading accuracy across diverse worksheet formats
About the organisation
Rocket Learning is a leading early childhood development nonprofit working to ensure that every child achieves full brain and body development by age six. Partnering with governments across India, Rocket Learning delivers joyful, community-driven early learning programs and builds scalable, technology-led solutions for children aged 0–6 years.
Problem Statement
Across India’s 1.4 million Anganwadi Centres, children complete worksheets almost daily, yet most remain uncorrected due to time constraints and limited capacity. This weak reinforcement limits learning gains and widens early learning gaps, while placing a heavy manual burden on frontline Anganwadi workers.
Solution
Rocket Learning developed an AI-powered worksheet autocorrection system that delivers instant, personalised feedback via WhatsApp. Using computer vision and automation, the solution grades worksheets, returns corrected sheets in local languages, and sends nudges to caregivers strengthening learning reinforcement while reducing frontline workload.
Quick Facts
Organisation Name
Rocket Learning
Organisation Website
Visit Site
Founding Year
2020
Number of Beneficiaries served
5 million children; 373,000 Anganwadi workers
Geography Served
12 states across 200 districts in India
Focus Area
Early Childhood Education
Functions Impacted
Program Delivery / Beneficiary Services Monitoring, Evaluation & Learning (MEL) Technology & Data Management
Service Provider
Developed In-house
Contact Email
partnerships@rocketlearning.org
SDG Addressed
Full Case Study
Challenge
Weak feedback loops constrained early learning outcomes
Despite widespread worksheet-based practice in early childhood programs, the absence of timely feedback limits the effectiveness of these learning activities at scale.
Key challenges include:
- Millions of worksheets completed daily but rarely corrected due to time and capacity constraints
- Limited ability of Anganwadi workers to provide individual feedback at scale
- Low reinforcement of learning at home, reducing the effectiveness of worksheets
- Absence of real-time data on learning engagement and progress
These gaps weakened foundational learning during the most critical years of child development.
Solution
An AI-driven feedback loop embedded into everyday worksheet use
Rocket Learning’s worksheet autocorrection system converts routine worksheet completion into an active learning loop. Parents or Anganwadi workers send images of completed worksheets via WhatsApp, which are automatically graded using deep learning models
Key features of the solution include:
- Automated worksheet grading using computer vision and handwriting recognition
- Instant visual feedback (✓/✗) returned via WhatsApp
- Multilingual and voice-supported feedback in 10+ Indian languages
- Personalised nudges to improve response and completion rates
- Role-based dashboards for Anganwadi workers, supervisors, and program managers
- Integration-ready architecture for systems such as Poshan Tracker and DIKSHA
Outcomes & Impact
Turning routine practice into measurable learning reinforcement
- Scale ~1.2 million children receive daily worksheet feedback
- Efficiency 50,000+ worksheets auto-corrected each day with >90% accuracy
- Engagement 5% increase in daily active users and average messages per user
- Workload reduction Significant time savings for Anganwadi workers
- Behavioural shift Increased parental involvement in home-based learning
Technology Stack
| Name of the Tool | Where it was used | What it enabled | Category |
|---|---|---|---|
| Computer Vision & OCR | Worksheet images | Automated grading and handwriting recognition | Open-source |
| Deep Learning Models | Assessment engine | High-accuracy worksheet evaluation | Custom-built |
| WhatsApp Business API | Parent and worker interaction | Low-barrier image submission and feedback | Commercial |
| Google Cloud (Vertex AI, Gemini) | Model hosting | Scalable AI infrastructure | Commercial |
| TensorFlow, PyTorch, OpenCV | Model development | Training and deployment of CV models | Open-source |
| Google TTS & Bhashin | Multilingual delivery | Voice-based feedback in regional languages | Commercial |
Key Project Learnings
- Automation Strengthens Engagement: Instant feedback transformed worksheets into active learning tools, improving engagement and consistency.
- Low-Friction Design Drives Adoption: WhatsApp-based workflows enabled rapid uptake among parents and Anganwadi workers.
- Shared Infrastructure Enables Scale: Cloud-native, modular systems reduced per-child costs and supported expansion across states.
Potential for Wider Adaption
| Sector | Adaptability of the Solution |
|---|---|
| Early Childhood Development Programs | Applicable across Anganwadi and preschool systems |
| CSR and NGO Initiatives | Reusable AI backbone for early learning interventions |
| Government Platforms | Can integrate with Poshan Tracker, DIKSHA, and state systems |
Additional Details
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