70,000 learners.
One state.
Measured outcomes.
How Lanquill's AI English platform powered the LSRW skilling backbone of Tamil Nadu's flagship Naan Mudhalvan initiative - delivered through the Tamil Nadu Skill Development Corporation across engineering and arts colleges statewide.
Students enrolled across Tamil Nadu universities under the Naan Mudhalvan rollout
The state's largest skilling mission - meets India's smartest English platform.
Naan Mudhalvan
- LaunchedMarch 2022
- CustodianTNSDC
- StateTamil Nadu
- Annual reach10 lakh+ youth
- Network2,000+ institutions
- MandateEmployability + skills
Naan Mudhalvan - meaning "I am the first" - is the Government of Tamil Nadu's flagship skilling programme, executed by the Tamil Nadu Skill Development Corporation (TNSDC). It is a single-window platform that brings students, colleges, industry partners and global academicians together to make Tamil Nadu the skill capital of India.
Within this state-scale mission, English language proficiency was identified as a foundational employability skill - one that cuts across every sector from IT and BFSI to retail, healthcare and logistics. Lanquill was deployed as the AI-powered English layer of the programme, with a mandate to deliver measurable, certificate-validated outcomes in Listening, Speaking, Reading and Writing.
"Over 70,000 students were supported through Lanquill's AI-powered English proficiency platform - with certificate-based milestones that validated individual progress at scale."
The deployment ran as a structured pre-test then intervention then post-test pipeline. This design choice was deliberate: it allowed both TNSDC and partner institutions to see the delta in concrete numbers, rather than rely on participation metrics alone.
LSRW gains across the full cohort.
A two-phase assessment was conducted across the 70,000-strong cohort to track the effectiveness of the platform. Aggregated pre-test and post-test averages reveal balanced, simultaneous improvement across all four core skill areas - not just the easy ones.
A web that expanded, not a spike.
Plotted on a radar chart, pre-test scores formed a tightly bound inner polygon. Post-test scores formed a significantly larger outer polygon - across all four axes simultaneously. The growth is balanced, not lopsided to any single skill.
- ·Listening stretched from 45 to 75
- ·Writing climbed from 40 to 74
- ·65–90% skill development rate across categories
A consistent upward slope.
A comparative line graph plotting pre- and post-assessment averages shows a clear, parallel lift across all four skills. The upward slope is not driven by a single high-performing area - it indicates consistent, positive impact of the platform on student proficiency over time.
- ·Speaking posted the highest absolute lift (+36)
- ·Reading reached the highest post-test ceiling (80)
- ·Writing - historically the weakest - improved by +34
Three universities. One platform. Differentiated gains.
Aggregating outcomes at the institution level reveals the realistic shape of any skilling intervention at scale - different cohorts move at different rates. Across three partner universities, every institution recorded a double-digit improvement, with the strongest gain at Periyar University.
| University | Pre-Test Avg | Post-Test Avg | Improvement |
|---|---|---|---|
Periyar University Salem · Tamil Nadu | 42 | 78 | +36 |
Bharathiar University Coimbatore · Tamil Nadu | 44 | 76 | +32 |
Thiruvalluvar University Vellore · Tamil Nadu | 46 | 71 | +25 |
Periyar University recorded the most significant progress with a 36-point swing - the cohort moved from a near-failing baseline (42) to a strong B-grade outcome (78) in one programme cycle. Bharathiar and Thiruvalluvar followed at +32 and +25 respectively. No institution regressed; no skill area was left behind.
Why the numbers moved.
Three structural choices in the deployment design - combined with Lanquill's AI feedback layer - turned a state-scale enrolment number into measurable proficiency gain.
Measured, not just delivered
Every student took a pre-test, completed the intervention, and sat a post-test. This produced a per-student delta - not just an attendance number. TNSDC and partner colleges could see growth as data, not anecdote.
AI-driven, scale-ready
Personalised AI feedback on speaking and writing - the two hardest skills to assess at scale - meant 70,000 students received individualised correction without burning out a human evaluator pool. The platform did the heavy lifting.
Certificate-validated milestones
Progress was not abstract. Students earned certificate-based milestones that validated individual achievement - a deliberate design choice for an employability programme, where credentials are part of the outcome.
This expansive rollout not only increased student engagement in language learning - it produced certificate-based milestones that validated individual progress across one of India's largest state-led skilling programmes.
"At a scale of 70,000+ learners across Tamil Nadu, Lanquill delivered structured, AI-driven English proficiency outcomes - turning a state-scale skilling mandate into individual, measurable, certificate-backed growth for every student in the cohort."
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