Prof. Reva AI teaches your own syllabus — any subject, any department — around the clock. But only the chapters your faculty have opened. No student runs ahead of the lecture.
Most AI tutors hand a student the whole syllabus on day one. That is the fear every department head names first — the lecture becomes optional.
The gate is the product
01 / Who controls what
Reva does not invent a new hierarchy. It inherits yours — and every unlock is attributable to the person who made it. Staff see the whole syllabus, because a professor prepares a chapter before the class reaches it. Students see what has been opened.
02 / Inside an open chapter
Once a chapter is released, the student has a full evening's study partner — not a chatbot with the textbook pasted in. Five ways in, and a doubt can be asked by text or voice at any point in any of them, always scoped to the chapter the class is on.
Guided slides built from your own syllabus text, in the order your department teaches it. Reaching the end marks the topic complete, which is what the professor's dashboard counts.
Reva works the derivation out step by step on a board, the way it happens in the hall.
Hand-authored questions per topic, graded on the student's reasoning — not on matching a string.
A summary sheet per chapter, pulled from what that student actually struggled with.
Takes the question the student actually missed and walks back through that, step by step — rather than replaying the lesson they have already sat through.
03 / At the bench
An engineering or science lesson falls apart the moment the diagram has to be words. Prof. Reva AI draws it — the circuit, the ray diagram, the free-body diagram on a beam, the structural formula — on the same board it teaches from. Eighty-seven components are placed by the software itself, from the ammeter and the bunsen burner to the six logic gates: the model names the component, the code decides where it sits. A diagram it cannot draw correctly it refuses to draw at all, which is why a parallel circuit never comes out looking like a series one.
Circuits laid out by the software — sources, meters, passives, and the six logic gates.
Ray diagrams for mirrors and lenses, traced to the real focus, with the sign convention checked rather than assumed.
A condensed formula becomes a structure — ethane one line, ethene two, ethyne three.
Beams with their supports and loads, and the reactions solved in code before anything is drawn.
Fifteen structures drawn by the software — the heart, the respiratory tree, the urinary tract, the neuron, the planes of the body — labelled where the label belongs.
It teaches the lab; it does not replace the bench. There is no simulation and no instrument readings — what a student gets is the drawing and the reasoning behind it, which is what a lab record asks for. Drawings for a branch we have not covered yet, civil surveying among them, are built the same way the subjects are: on request, against an agreed budget, before your department needs them.
04 / In the hall
Reva is no longer only the student's tutor. A professor opens the lesson they are about to give and teaches from it — so what goes on the blackboard and what the student revises at home are finally the same thing.
What to write, in order — the worked example, the mistake to warn them about, the question to put to the class. On the professor's own phone. No projector, no cable, nothing to install.
A room with a screen gets the slide and Reva's board side by side, driven from the keyboard or a presenter remote.
Another worked example, or a harder problem, drawn from the same reviewed bank the students practise on. Nothing invented mid-lesson.
One tap at the end of the hour releases the chapter to the class. The professor never leaves the board to do it.
Every student's progress, topic by topic, so the next lecture starts where the class actually is rather than where the timetable says.
Most classrooms we walk into have no projector. That is why the board plan comes first and the screen is optional — the professor teaches from their phone onto the blackboard they already have.
05 / Continuity
A tutor who forgets last week is a search engine. Reva writes a short record after each session and opens it before the next one — so the second conversation starts where the first ended.
It is a plain text file on your server. Your faculty can read it. Nothing about a student is inferred from anyone else's data.
Illustrative record · real files follow this exact structure
06 / Where it runs
Your institution gets its own installation — on your campus, or on a cloud box you control. Your students' records, progress and memory files live on that machine and are not pooled with any other college's.
Because the installation is yours alone, it can carry your name. Your students sign in to your college's platform, in your colours, on your domain — not to somebody else's product with your logo in the corner. Available as part of a deployment; tell us at the demo and we will show you it wearing your brand.
07 / Status, stated plainly
There is no fixed subject list. You send your department's syllabus and the course is generated against it — chapters, slides, worked examples and a reviewed question bank — run from the admin console, subject by subject. The three below are demonstrations we built exactly that way, because we would rather show you a finished subject than a slide about a roadmap.
What the engine already knows how to teach is wider than the demonstrations below: a hundred and eighty-one course names across fourteen subject families — electronics, mechanical, physics, chemistry, mathematics, computing, commerce, management, communication and social science, and on the medical side nursing, anatomy, physiology and health informatics — each with its own worked-example style, its own question style and its own drawings. That is not a catalogue of finished courses, and we will not pretend it is. It is the reason your subject takes days rather than months: the teaching engine for your department already exists, and what we build on top of it is your syllabus. Engineering, arts and science, and medicine are covered. Law we do not cover, nor the life sciences — botany, zoology, biotechnology — and we would rather say so than take the work.
| Subject | Programme | Topics | Slides | Questions | State |
|---|---|---|---|---|---|
| Your subject | Any department, any semester | — | — | — | Built from your syllabus |
| B.Sc Nursing — first year | INC syllabus · 10 subjects | 514 | 6,726 | 5,334 | Demonstration |
| Discrete Mathematics | MCA · 5 units | 45 | 632 | 702 | Demonstration |
| Applied Calculus | B.E. · Unit 1 | 9 | 109 | 136 | Demonstration |
The three demonstrations are there to show the shape of a finished subject — the numbers a real one produces, not a promise. Yours is generated from the material you send us, and every question is reviewed against your syllabus before a student ever sees it. The nursing year is medicine's first: MBBS anatomy and physiology are the same two engines at greater depth, and rather than put a date on it we will build you a chapter of either to judge.
Generation is run per subject against a budget agreed with your department beforehand. It is never fired off automatically by an upload, which is how these things quietly become expensive.
Asked for at a demo, built on request
CO–PO attainment (NBA / NAAC). We do not claim to produce your attainment report, and you should be careful with anyone who does — the direct attainment your accreditation needs is computed from marks, including the university end-semester paper, which a teaching system never sees. What Reva can do sits earlier and is genuinely ours: tag each topic to a Course Outcome, and show you which COs are weak, per student, while there is still a semester left to fix it — then export it CO-wise for the sheet your exam software already fills. Tell us your department's CO list at the demo and we will fit it to your format.
Open questions in the lecture. By default, the answers Reva gives your class come from the reviewed bank and nothing else — that is a deliberate choice, not a limitation we are working around. If your department would rather let a professor ask Reva anything mid-lesson, that can be switched on for your installation, per department, with the spend visible to you. It stays off until you ask for it.
08 / About us
Prof. Reva AI is the higher-education product of EduVerseJr, an education-technology company in Coimbatore. Our first product, Reva AI Teacher, already teaches Mathematics and Science to students in the United States every day — the same live-whiteboard and real-time-voice engine now sits behind Prof. Reva AI, rebuilt so your faculty controls the release.
09 / Next step
Send us a single chapter of a syllabus you actually teach. We build it into Reva and walk your department through it — the professor's release control, the student's view, and the locked state, in 45 minutes.
Book a demoStudents asking on their own behalf: individual sign-up is coming. For now Reva is provided through your college — ask your department to get in touch.
