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AI-Powered Department Management · Parul University

An AI-Powered System Running Parul University's Ayurveda Department

Nexgale built MediAryu, a full department-management system for Parul University's Ayurveda department, with AI woven into the work itself — generating weekly exams and checking practical logs — not just tracking that the work happened.

Client
Parul University — Private university
Industry
Higher Education
Deployment
On-premise, on Parul University's own servers — alongside the other systems Nexgale runs for the university.

The challenge

Running an academic department end to end — teaching schedules, weekly exams, and every student's practical logs — is a heavy, continuous administrative load when it's done by hand, and it only grows with the size of the department. Parul University's Ayurveda department needed one system to hold all of it: what's being taught, how students are examined week to week, and what practical work each student has completed and had checked.

On top of that, the manual work of writing exams and checking practical logs one by one doesn't scale to a department of this size — the university wanted AI doing real work inside that process, not just a dashboard summarising it.

Our approach

Nexgale designed and built MediAryu as one system that runs the Ayurveda department's academic operations: teaching tracking, weekly exams, and practical logs, all in one place. AI is built into the actual workflow rather than added on top — it generates weekly exams and checks students' practical logs directly, so faculty aren't starting every exam from a blank page or checking every log by hand.

The system runs on Parul University's own servers, the same private infrastructure as the other systems Nexgale operates for the university, and connects a Next.js front end to a Python FastAPI and Express-based backend, with MongoDB and PostgreSQL holding department data and several LLMs — including a ChatGPT API integration — powering the exam-generation and log-checking work.

Case study

What we built

Teaching and weekly exam tracking

MediAryu tracks what's being taught and runs the department's weekly exam cycle in one system, instead of spreading it across separate tools and paper records.

AI-generated exams

AI drafts weekly exams directly inside the system, so faculty start from a generated exam rather than writing each one from scratch.

AI-checked practical logs

Students' practical logs are checked by AI, handling the volume of log review that would otherwise fall entirely on teaching staff.

On-premise deployment on Parul's own servers

MediAryu runs on the university's own infrastructure, alongside the other systems Nexgale operates for Parul, with the application and its records inside the institution's environment. Its AI features call an external language-model API (the ChatGPT API), so that boundary covers the system and its stored data, not the text sent to that API.

Outcome

MediAryu is live and in daily use by more than 5,000 students in Parul University's Ayurveda department. Weekly exams are generated by AI rather than written from scratch each week, and practical logs are checked by AI rather than queued up for manual review.

The department now runs its teaching tracking, exams, and practical logs through one system — with AI doing real work inside that process, not just recording that it happened.

What it runs on

Next.jsFastAPI (Python)Express.jsMongoDBPostgreSQLMultiple LLM modelsChatGPT API integrationOn-premise deployment
Why there's no public demo. There is no public demo of this system. MediAryu runs on Parul University's own servers for the Ayurveda department's students and faculty, so it isn't — and shouldn't be — reachable from the public internet. That's consistent with how Nexgale builds for institutions: inside the client's own environment, with their data staying theirs.

Built with Nexgale technology

This system is built, deployed and running. The technology behind it now lives in our products.