STEM graduates produced by India annually
The world's largest technical education system by enrollment volume
Not because they lack talent. Because they spent four years learning thermodynamics, algorithms, and circuit theory in a language only 10% of India speaks fluently. IndiaLearn fixes this.
The world's largest technical education system by enrollment volume
India will need 1 million AI professionals by 2026. It currently has 416,000.
Mass production of degrees without the skills industry actually needs
The paradox of modern India: the world's largest youth population, the fastest-growing major economy, and an engineering education system where one in three graduates cannot find relevant work. This is not a talent deficit. It is a language deficit.
Only 128.5 million Indians speak English — out of 1.4 billion people. Yet every engineering textbook, every lecture, every exam is in English.
With an EF EPI score of 484 — 'Moderate/Low' proficiency. States producing the most engineers — Uttar Pradesh, Gujarat, Punjab — score at the bottom of this scale.
Students from vernacular-medium schools enter English-medium engineering colleges with no linguistic support infrastructure. They are expected to master fluid mechanics in a language they have never used to think.
India's own National Education Policy states that young children learn and grasp nontrivial concepts more quickly in their home language. Yet implementation in higher education remains almost nonexistent.
Language is not the only friction point — World Bank employer research identifies higher-order thinking and applied problem-solving as the largest skill gaps. But language is the one barrier that technology can remove immediately, at scale, for every learner.
Cognitive science has documented what every vernacular-speaking student has always known: processing complex information in a second language consumes measurably more mental bandwidth, leaving less for actual learning.
UNESCO's World Inequality Database shows that students taught in their mother tongue are 30% more likely to read with understanding by end of primary school than those taught in a foreign language.
fNIRS brain imaging studies show that processing complex information in a second language generates significantly greater cortical brain activity — a direct neuro-metabolic marker of cognitive strain.
When students must simultaneously decode English terminology and visualize abstract engineering concepts, working memory is monopolized by translation — leaving insufficient resources for the subject itself.
Switching from L1 to L2 incurs measurable 'switch costs' — and the less proficient the L2, the higher the cost. This describes millions of Indian engineering students every lecture, every day.
The conclusion is not that Indian students cannot learn engineering. The conclusion is that they have been asked to solve two hard problems simultaneously: learn a foreign language and master a technical subject. Remove the first problem, and the second becomes dramatically more tractable.
The National Programme on Technology Enhanced Learning (NPTEL) represents one of India's greatest educational achievements. Built by the IITs and IISc, funded by the Ministry of Education, it offers world-class engineering instruction completely free — to anyone with an internet connection.
But it has a completion problem.
NPTEL has recognized the language problem. It has initiated translation into 11 Indian languages and received 1,500+ formal requests from students asking for vernacular content.
IIT Madras alone has translated 174 technical courses into Tamil, producing 906 hours of audio with 682 translators.
The content is being localized. What is missing is the interactive layer — an AI tutor that meets each student in their language, answers their questions, identifies their gaps, and guides them to mastery.
IndiaLearn extends that model across NPTEL and other open source courses.
We programmatically process NPTEL and other open source courses through Sarvam AI's dubbing API — generating high-fidelity dubbed lectures in Hindi, Tamil, Telugu, and Bengali while preserving the original instructor's voice and technical precision.
Our AI tutor is anchored to the exact content of each NPTEL and open source course. When a student asks a question, it retrieves the precise relevant context before responding — eliminating hallucination and ensuring every answer is grounded in the curriculum.
Students ask questions, receive explanations, and get guided through concepts in their native language. The cognitive resources previously spent on translating English are now entirely available for understanding the subject.
The average one-on-one tutored student outperforms 98% of their classroom-taught peers.
AI tutoring is a promising approach toward making Bloom's two-sigma benchmark achievable at scale — and affordable. IndiaLearn delivers it in your language.
Browse NPTEL and other open source courses across engineering disciplines. Select your preferred language — Hindi, Tamil, Telugu, or Bengali.
Every lecture is available in your native language, preserving the original instructor's voice, pacing, and technical authority.
Stuck on a concept? Ask in your language. The AI tutor retrieves the exact relevant section from the course material and explains it at your level — without ever making up an answer.
Complete assignments, prepare for the relevant certification path, and move toward the small minority of learners who make it to completion — with stronger proof of mastery on your resume.
Engineering graduate employability in India, 2024 — meaning 36 in every 100 engineers cannot find suitable work after four years of study.
Percentage of Indians who speak English as a primary, secondary, or tertiary language — yet 100% of formal engineering education is delivered in English.
Students taught in mother tongue are 30% more likely to read with understanding than those taught in a foreign language.
Percentile outcome for the average student receiving personalised one-on-one tutoring vs classroom instruction.
IndiaLearn is built by engineers who believe that the language of your schooling should not determine the ceiling of your career.
IndiaLearn is being built as an applied AI platform for multilingual engineering education, with a focus on making high-quality technical learning usable for students who do not think in English first.
We have been accepted into Google's TPU Research Cloud program. According to Google Research, the program gives accepted researchers access to clusters of more than 1,000 Cloud TPU devices at no charge to accelerate machine learning research.
That matters because TPU infrastructure is built specifically for training and running machine learning models at high throughput. For IndiaLearn, it creates a credible path to train, optimize, and serve language-aware AI systems with far more robustness than a lightweight prototype stack.
In practical terms, this means better room for model experimentation, faster iteration on multilingual tutoring quality, and more serious infrastructure for scaling inference once the product moves from pilot to national deployment.
Accepted into Google's TPU Research Cloud, which gives researchers access to large-scale Cloud TPU infrastructure for training and running machine learning models.
We are actively seeking partnerships with universities, EdTech platforms, employers, and institutions that share our conviction that language should not be a barrier to technical education in India.
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