EducationProgram Delivery

The Apprentice Project: AI-Powered 21st Century Skills At Scale

Building Critical Thinking, Creativity, and Decision-Making at Scale through AI

100,000
100,000
children enrolled, 3000+ Trained Teachers.
Week-on-week
Week-on-week
skill mastery achieved, Coding (54%), Science (59%), Financial Literacy (65%)
Measurable improvements
Measurable improvements
baseline to endline, Creativity (42.6%), Problem-solving (50.8%), Decision-making (43.5%)
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Impact

Case at a Glance

About the Organisation
  • 100,000 children enrolled, 3000+ Trained Teachers.
  • Week-on-week skill mastery achieved across domains: Coding (54%), Science (59%), Financial Literacy (65%)
  • Measurable improvements from baseline to endline: Creativity (42.6%), Problem-solving (50.8%), Decision-making (43.5%)

Problem Statement

India’s public education system serves over 250 million children, yet 21st-century skills critical for a digital economy remain largely untaught and unmeasured. Overcrowded classrooms, exam-driven pedagogy, limited teacher training, and one-size-fits-all instruction restrict opportunities for personalised learning. As a result, skills such as creativity, problem-solving, and decision-making are neither systematically developed nor assessed at scale.

Solution

TAP developed TAP Buddy, an AI-powered WhatsApp learning platform that delivers personalised, adaptive skill development directly to students. Using multimodal AI, rubric-based evaluation, and real-time feedback, the solution enables continuous measurement and learning while strengthening teacher capacity through dashboards, guidance, and system-level insights.

Read the full case study
Challenge
Teaching and measuring 21st-century skills at scale in public schools

Despite policy emphasis under NEP 2020, India’s public schools lack scalable mechanisms to teach and assess 21st-century skills.

Key challenges included:

Absence of structured curricula and assessment frameworks for skills such as creativity and problem-solving
Teachers not trained to teach or evaluate these skills consistently
Large class sizes limiting personalised feedback
One-size-fits-all instruction despite diverse learning levels
Lack of real-time data on skill progression for teachers and administrators
Apprentice Challenge

These constraints prevented systematic skill development and limited accountability for outcomes.

Solution
An AI-powered, personalised learning system delivered through WhatsApp

TAP Buddy was designed as a low-cost, scalable AI learning platform embedded into students’ daily digital habits. The system combines conversational AI, computer vision, and predictive analytics to deliver adaptive learning and continuous assessment.

Key features of the solution include:

  • Choice-based electives across STEM, Coding, Visual Arts, and Financial Literacy
  • Personalised Adaptive Learning engine adjusting difficulty and pacing
  • AI-based image and voice evaluation of student projects against rubrics
  • LLM-driven doubt resolution for students and teachers
  • Interactive micro-learning videos with in-video checks
  • Behavioural nudges to improve engagement and retention
  • Dashboards for teachers, schools, and governments
  • Predictive alerts for disengagement and low mastery
TAP Buddy AI Learning Platform
Outcomes & Impact
Demonstrating scalable, low-cost skills learning with measurable outcomes
User Engagement
100,000 students enrolled, with 61% active usage in 2025-2026
Skill Mastery
Average weekly mastery levels of 54–65% across coding, science, and financial literacy
Skill Growth
Significant improvements in creativity (42.6%), problem-solving (50.8%), and decision-making (43.5%) over 6–8 months
Cost Efficiency
Delivery achieved at ₹800 per child, projected to reduce to ~₹100 per child annually at scale

Technology Stack

Tools/ Techniques Used For What It Enabled Category
WhatsApp Conversational engine for student and teacher interaction with LLM integration Real-time doubt resolution and feedback Commercial
RAG Pipelines Content retrieval Contextual, curriculum-aligned responses Custom-built
Computer Vision (OpenCV + ResNet-50) Project evaluation Image-based rubric assessment and plagiarism checks Open Source
FAISS Similarity search Submission matching and originality detection Open Source
Neo4j + LlamaIndex Curriculum mapping Linking submissions to rubrics and learning paths Open Source
Predictive Analytics Engine Engagement tracking Early warning for disengagement and low mastery Custom-built
Behavioural Nudge System Learner engagement Retention through reminders and incentives Custom-built
Bhashini Multilingual delivery Indic-language learning and feedback Open Source

Key Project Learnings

01
Personalisation Enables Scale

Adaptive learning paths allowed diverse learners to progress at their own pace, leading to measurable skill gains.

02
Multimodal Assessment Makes Skills Measurable

AI-based evaluation of projects and explanations enabled continuous measurement of complex skills at scale.

03
Low-Cost Design Enables Sustainability

A WhatsApp-first, reusable-content model kept per-child costs low, supporting long-term government adoption.

Potential for Wider Adoption

Sector Adaptability of the Solution
State Education Systems Can embed 21st-century skills into public school curricula at scale
CSR and NGO Programs Adaptable for co-curricular and skills initiatives
Teacher Professional Development Can support teachers in understanding and assessing skills

See it in Action

Solution Video
Solution demo

TAPBuddy is a WhatsApp-based AI companion delivering personalized, project-based 21st-century skills learning through videos, voice, and multilingual interaction for students at scale.

Solution Video
User Testimony 1

A student shares how TAPBuddy inspired her newfound passion for science and research

Solution Video
User Testimony 2

At The Apprentice Project (TAP), we're revolutionizing education by empowering under-served students with essential 21st-century skills.

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