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Case study · EdTech

Self Innovation

Custom AI tutor agents adapted to each learner's pace, in three languages.

Self Inn.
Client
Self Innovation
Year
2024
Category
EdTech

Stack

React NativeClaudeElevenLabsPostgresSanity CMS

Challenge

What we were solving.

Self Innovation runs vocational training programs across rural India with learners across English, Hindi, and Telugu. Their tutors couldn't personalize to every learner's pace, and the wide language mix made one-size content ineffective.

They wanted an AI tutor that adapts to each learner's pace, language preference, and prior performance — with safe-handoff to humans on tough material.

Solution

How we built it.

We built a multi-modal AI tutor on Claude that delivers lessons via text + audio + image, adapts difficulty based on quiz performance, and gracefully escalates to human mentors when confidence drops.

Content is authored once in English and translated + voiced through a curated translation pipeline. Mentors monitor learning sessions through a real-time dashboard.

Results

The numbers that mattered.

Engagement
Languages
3
Completion lift
+47%
Mentor time saved
60%

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