Muzammal Amin, founder of Physicstan

RESEARCHER • EDUCATOR • BUILDER

Muzammal Amin

Physics PhD researcher at the University of Turin and the person behind Physicstan.

Physicstan is designed around the way students actually learn: make the setup visible, keep the reasoning checkable, and turn a finished answer into a conversation.

contact@physicstan.com

Physicstan is a physics AI solver and tutor for students, built and maintained by a working physics researcher rather than by a general edtech company adding physics to a list of subjects.

Who is behind it

Muzammal Amin is a PhD researcher in Physics at the University of Turin (Università degli Studi di Torino), in the Department of Physics.

His research is in the assessment of personal exposure to radiofrequency electromagnetic fields, the non-ionizing radiation produced by everyday wireless infrastructure, measured in real-world environments rather than in the laboratory. The work centres on spatiotemporal and activity-based exposure modelling, using personal exposimetry hardware alongside Python, QGIS and MATLAB, and includes literature review and field measurement campaigns addressing gaps in RF-EMF exposure data across Italian microenvironments. He collaborates with ARPA Piemonte, the regional environmental protection agency.

He has also been involved in teaching, academic instruction and student mentoring in physics and environmental health.

That teaching background matters more to this project than the research specialism does. Physicstan is shaped by having watched real students get stuck, which is a different kind of knowledge from knowing physics.

You can verify any of the above independently:

Why this exists

Students do not usually get stuck on physics because they cannot do the algebra. They get stuck at the translation step: turning a paragraph of English into a labelled diagram, a set of knowns, and one governing equation. Ask any physics teacher and you will hear the same thing, phrased as “I understand the concept but I cannot do the numericals.”

Most tools skip exactly that step. They return a finished solution in which the choice of equation looks obvious in hindsight, which teaches recognition rather than method. General chatbots have a second problem on top: they are fluent, they are confident, and they get arithmetic wrong often enough that experienced tutors warn students off them entirely.

Physicstan was built to do the opposite. Every answer separates the setup from the algebra, writes its assumptions where you can argue with them, and hands checkable arithmetic to a deterministic calculator running on our server rather than trusting the language model with it.

How it is built

Physicstan is not a new foundation model, and we do not claim it is. It specialises a strong commercial provider model through:

  • protected physics system instructions and a fixed problem-solving workflow
  • a structured answer contract, so responses come back as setup, assumptions, principle, equations, steps and final answer rather than as prose
  • four distinct interaction modes: Solve, Learn, Tutor and Check My Work
  • deterministic backend verification of arithmetic and unit dimensions, run outside the AI
  • a benchmark test-case library used to catch regressions
  • user feedback and error reports

That sequencing is deliberate. Specialising and measuring a strong base model first reveals what actually goes wrong before spending money on fine-tuning something that may not need it.

The full method, including what is verified automatically and what is not, is on the accuracy and method page.

What we will not claim

Trust in this category is mostly destroyed by overclaiming, so here is what Physicstan deliberately does not say.

No accuracy percentage. Competing sites advertise 98.5% and 99.7% with no test set, no methodology and no independent testing. Those numbers are marketing. Accuracy in physics AI varies enormously by problem type, and a single figure conceals precisely the variation that matters.

No expert-verified dataset claim, yet. The application ships an original set of benchmark-style physics questions, written for this purpose rather than copied from textbooks, with topic coverage aligned to openly licensed references. Those cases are marked pending review and are not enabled as worked examples until a physics specialist has reviewed each one individually. When that review is complete, this page will say so. Until then we are not going to describe the system as expert-verified on the strength of work that has not been finished.

No invented AP score cutoffs. The AP Physics score calculators return your weighted composite and leave the 1 to 5 conversion switched off, because College Board equates each administration and no permanent conversion table exists. Most competing calculators quote a cutoff anyway.

No pretence that AI cannot be misused. Physics is learned by doing problems. A tool that finishes your problem set can make you worse at physics while making your marks look better for a few weeks. Tutor mode, the practice areas and the way answers are structured all exist because of that risk, not in spite of it.

What Physicstan is not

It is not a homework ghostwriting service. It is not a replacement for your instructor. It is not an authority you should trust over your textbook. And it is not a general science site: the scope is physics, deliberately, because a tool that does everything adequately is less useful than one that does a single subject properly.

Privacy

Your conversations are private records tied to your account. They are never published, never indexed by search engines, and not visible to other users. Uploaded photos and PDFs are stored outside the public media library and removed automatically after a retention period. You can delete any conversation yourself at any time.

Details are in the privacy policy.

Getting in touch

Corrections are the most useful thing you can send. Every AI answer has a thumbs down and a Report button, and reports reach us with the conversation context attached. A reported error with a sentence explaining what was wrong is what turns into a fix.

For anything else, see the contact page.

Elsewhere

Start here