Nakshatr EduTech · Bhavnagar, Gujarat

Real learning starts where instructions stop.

Nakshatr is a new kind of classroom. Students learn technology with their own hands — by building a real machine, watching it fail, and making it work again. No engineering degree needed to begin.

  • 30Teaching days
  • 90Learning hours
  • 30Missions
  • 5Learners per team

Built and understood by students in 30 days — starting from zero.

01 · Why this exists

You can name every part and still not know where to begin.

What a class gives you

Six parts, six names.

BATTERYMOTORPROPELLERSENSORBOARDWIRE

Easy to memorise. Easy to test. You will pass.

What a real machine gives you

The same six parts, connected — and one has stopped.

Nothing here is labelled. Now what do you do?

Knowing the names is not the same as knowing how it works. Closing that gap is the entire reason Nakshatr exists.

02 · How we teach

Nobody learns to ride a bicycle from a book.

You tried, you wobbled, you watched someone who could, you tried again. Nakshatr teaches technology the exact same way. The two pictures below are the same story — tap through and watch them move together:

The bicycle · how you learned
The machine · how you learn here

Nobody rode the bicycle for you. Nobody here tells you the answer. What you work out yourself stays for life — in any subject, in any job.

Nakshatr AI is being built for this moment — to show a stuck team where to look, never to give the answer. It is still being made.

03 · Why a drone

One machine. Every kind of part inside it.

Every machine is many smaller machines working together. A drone is the smallest machine that has all of them — movement, power, sensing, instructions and a body — and it fits in your hands.

Learn to read those five parts in one machine, and you can read them in any machine.

04 · The 30-day programme

The help is taken away on purpose.

Two side wheels. Then one. Then just a hand on the saddle. Then an open road. That is how you learned to ride — and it is exactly how the 30 teaching days · 90 learning hours · 30 missions · 5 learners per team are built. Four of the thirty missions, side by side with the bicycle:

DAY 01

Wake the system

The machine arrives in pieces. Your first job is to get any part of it to respond at all.

On the bicycle
At your bench
SUPPORT GIVEN
  • PART LIST
  • SAFETY BRIEF
  • WORKED EXAMPLE

DAY 10

Build the power system

Battery, wiring and four motors — built to carry a real load, not a demonstration.

On the bicycle
At your bench
11.4V
SUPPORT GIVEN
  • REFERENCE CIRCUIT
  • CHECKPOINT

DAY 19

First controlled flight

It leaves the bench. Every earlier decision you made is now visible in how it behaves.

On the bicycle
At your bench
SUPPORT GIVEN
  • SAFETY SPOTTER

DAY 29

Mission from zero

No drawing, no kit, no worked example. You decide what to build before you pick up a part.

On the bicycle
At your bench
SUPPORT GIVEN
  • NOTHING

By the last week nobody gives you a starting point. That is the aim — you should not need one.

05 · What stays with you

You have never studied these. You can still begin.

These are ordinary machines. Nobody teaches them in a classroom. But the same four questions work on every one of them — and once you can ask those, you are not stuck in front of anything.

WATER PUMP

A water pump

CEILING FAN

A ceiling fan

ELECTRIC SCOOTER

An electric scooter

That is what Nakshatr is really teaching. Not a drone — a way to walk up to anything unfamiliar and start.

07 · Where we are today

Built in the open. Only what is real.

Nakshatr is being built right now, in Bhavnagar. Here is exactly how far along each part is — including the parts that are not finished.

01

Designed

  • Learning-system direction
  • 30-mission journey architecture
  • Team-based programme model
02

Being built

  • Detailed course engineering
  • Nakshatr AI implementation
  • Student & Alumni App
  • Integrated product systems
03

Being prepared

  • First integrated learning environment
  • Pilot readiness
  • Implementation setup
04

Still to prove

  • Complete pilot outcomes
  • Learning effectiveness
  • Cost and reliability assumptions
  • Repeatability at scale

Nakshatr AI and the Student & Alumni App are still concepts in development. Outcomes, cost and repeatability have not been proven yet — the first programme has not run.

Start with one machine. Leave able to start with any.

If that is the way you want to learn — or the way you want your students or your team to learn — talk to us.

Start a conversation