Stage 2 · Teaching

AcadEdge — the AI co-teacher for 3× faculty productivity

An AI co-teacher that produces lesson plans, question banks, translations and auto-graded assessments in minutes, not weekends — giving every faculty member roughly twelve hours back each week.

UniAI Knowledge Bank
~12 hrs back / week
📚AI co-teacher · Gemini
Capabilities

Make faculty 3× more productive.

Seven capabilities that turn weekend marathons into minutes — and turn teaching into accreditation evidence automatically.

Lesson plan generator

Full lesson plans, labs and adaptive assessments from a single prompt — aligned to your syllabus and outcomes.

Auto-grading with rubrics

Grades objective and subjective work against your rubrics, with feedback — weekend grading marathons eliminated.

Multilingual translation

Hindi, Tamil, Bengali, Marathi and more — with the technical accuracy STEM content demands.

Gemini Gems for agents

Custom Gems for attendance, grading and syllabus — specialised agents faculty can summon on demand.

CO-PO auto-mapping

Every assessment is auto-mapped to course and programme outcomes, with heat-maps for review.

NAAC evidence generation

SSR/AQAR metrics and outcome evidence assembled continuously — audit-ready, not once a cycle.

Faculty Knowledge Bank

Institutional memory becomes a shared, RAG-grounded skill graph owned by the university.

AI in action

A two-week lesson plan, built while you read this.

An AI co-teacher that never tires — powered by Gemini.

AcadEdge turns a one-line request into a complete, outcome-aligned teaching unit — plan, lab, assessment and viva — then keeps grading and mapping in the background so faculty stay focused on students.

  • Generate full lesson plans, labs and adaptive assessments from one prompt
  • Auto-grade against rubrics with structured feedback
  • Every artefact auto-mapped to CO-PO and NAAC evidence
AcadEdgeGenerating lesson plan
Create a 2-week lesson plan for Physics — Unit 4: Thermodynamics, Laws 1–3.
Week 1 — Entropy
Activity: ice-melting simulation · 15-Q adaptive quiz
Week 2 — Laws of Thermodynamics
Lab: Carnot cycle visualisation · Subjective + viva
Ask AcadEdge
How it works

From syllabus to graded, mapped outcomes.

1
Step 1

Faculty uploads the syllabus

A professor drops in a syllabus or a single prompt describing the unit to teach.

Upload: Physics · Unit 4 Thermodynamics
Prompt: 2-week plan, Laws 1–3
2
Step 2

AI generates plan, materials, quiz

AcadEdge produces a full lesson plan, lab activities, materials and an adaptive assessment in minutes.

Generated: 2-week plan + Carnot lab
Adaptive 15-Q quiz · viva set
3
Step 3

Students learn, AI grades & maps

Students submit; AcadEdge grades against rubrics and auto-maps results to CO-PO and NAAC evidence.

Graded 84 scripts · rubric-scored
Mapped → CO3/PO5 · NAAC evidence ready
★ Why it matters

Faculty time is your scarcest resource. AcadEdge gives it back.

Most "AI in teaching" stalls because there's no time to build it. AcadEdge removes the busywork instead of adding to it.

  • Full lesson plans, labs & adaptive assessments from a single prompt
  • Rubric auto-grading — weekend grading marathons, gone
  • Technical translation into Hindi, Tamil, Bengali & Marathi
  • Custom Gems run attendance, grading & syllabus tasks in the background
AcadEdge always-on desk
~12 hrs given back to each faculty member every weekfaculty productivity on planning & grading
The next step

Let's make your campus the one that moved first.

A 2-hour Discovery Workshop with your stakeholders, Google and UniAI — we identify your top 3 use-cases and map a 90-day path to production.

Book a Workshop
No commitment · Your stakeholders + Google + UniAI · 2 hours