On-Premise AI Attendance · Parul University

AI Attendance, Photo and CCTV, Running On-Premise Inside a University

Nexgale took its own AI attendance product, ClassSight, and rebuilt it to run entirely inside Parul University's private network — the same attendance capability, from photos and from CCTV, but with student data that never leaves the university's servers and records that flow straight into the systems staff already work in.

Client: Parul University — Private university
Industry: Higher Education
Deployment: On-premise, on the university's own servers and private network, integrated with their existing MIS.

The challenge

Parul University wanted what ClassSight does: attendance taken from the class itself, from a teacher's photo or from the classroom's CCTV cameras, with the AI matching enrolled students — replacing manual roll-calls. But the standard cloud version couldn't meet the university's requirements. Student data had to stay on the university's own servers, the system had to run on the university's own infrastructure, and attendance had to land directly in the MIS the institution already relies on — not in a separate tool.

These weren't preferences to negotiate around: for an institution holding student records at scale, where data lives and what systems it touches are first-order constraints. A general-purpose hosted product, however capable, was the wrong shape for the problem.

Our approach

Rather than ask the university to bend to the product, Nexgale bent the product to the university. We built a custom, on-premise version of ClassSight that keeps the same AI attendance capability but deploys inside Parul's private network and integrates with their internal MIS.

This is the work Nexgale is built for: designed, built, and operated to run in the client's stack, with their data staying theirs. The AI matching that powers ClassSight stayed intact — what changed was where it lives and what it talks to: moved onto the university's own infrastructure and connected to the records system already in daily use.

Case study

What we built

AI attendance from photos and from CCTV

Attendance comes either from a teacher's photo of the class or from the classroom's CCTV cameras, and in both the AI matches against enrolled students. The CCTV-based version has been tested and deployed as well. No capability was traded away to make it run privately.

On-premise deployment

The system runs on the university's own infrastructure, inside their private network, so the attendance workload lives on hardware the institution controls rather than on external cloud servers.

Student data that stays on the university's servers

All student data remains on Parul's own servers. Nothing about the matching or record-keeping requires that data to leave the institution's environment — by design, the data stays theirs.

Direct integration with the existing MIS

Attendance flows straight into the management information system the university already uses, so records land where staff expect them instead of in a separate, parallel tool that would need reconciling.

Outcome

ClassSight is built, tested, and live on Parul's own infrastructure, at a university of roughly 50,000–60,000 students. It runs in two forms: photo-based attendance, and a CCTV-based version that we have also tested and deployed.

In every department where it is live, attendance happens inside the records system staff already use — no separate tool to reconcile, and student data that never leaves the university's servers. That's what "runs in your stack, your data stays yours" looks like in practice: a product capability reshaped into a private deployment that respects an institution's real data and infrastructure boundaries, without diluting what it does.

What it runs on

AI face matching (photo and CCTV)On-premise deploymentPrivate network hostingMIS integrationEducation data systemsCustom product adaptation

Why there's no public demo. There is no public demo of this deployment, and that is the point. The system lives on Parul University's private network and is integrated with their internal MIS, which holds student data — so it is not, and should not be, reachable from the public internet. The absence of a public link is direct evidence of how Nexgale works: we deploy inside the client's own environment rather than parking client data in a shared service. The underlying product is visible at classsight.in, while the university's instance stays private by design.

Built with Nexgale technology

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

Explore Products See the full track record