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Education · Case study

Adaptive AI Learning Tutor

Adaptive tutoring and faculty analytics over approved course content—with grounded answers and campus-ready hosting.

Outcome: 2.5x practice engagement

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The challenge

Students needed after-hours help, while faculty lacked visibility into who was struggling. Static LMS content could not personalize practice.

Our solution

We built an adaptive tutor on Next.js and LangChain/OpenAI, grounded in approved course materials in PostgreSQL, with faculty dashboards for engagement and misconception patterns—hosted on Azure with Docker for academic calendar peaks.

Results

  • Practice engagement increased about 2.5x
  • Students get grounded help outside office hours
  • Faculty see which topics need reinforcement
  • Content stays limited to approved curriculum sources

Tags

EdTechLangChainTutor
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Tech stack

Core technologies used on this engagement.

  • Next.js
  • Python
  • LangChain
  • OpenAI
  • PostgreSQL
  • Azure
  • Docker
  • Tailwind CSS

Services involved

Capabilities that powered this delivery.

AI & Intelligent Solutions

Voice agents, agentic RAG, document intelligence, and automation built for real workflows.

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Web & Mobile Applications

Responsive web and mobile experiences that engage users and convert.

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Cloud & Infrastructure

Secure, scalable cloud setups and reliable infrastructure foundations.

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