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محمدمهدی کعبیHuman intelligence · Scientific editorial

Artificial Intelligence M.Sc. Student & Product Builder

Mohammed Mahdi Kaabi

Mohammed Mahdi Kaabi is an Artificial Intelligence M.Sc. student at the University of Tehran and a product builder working across applied AI, software engineering and interactive systems.

Explore selected work

Artificial Intelligence M.Sc. student · University of TehranVerified academic affiliation

Portrait of Mohammed Mahdi Kaabi
Human-centered AI
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Evidence before spectacle

Credibility, quietly stated.

Public claims stay connected to verified affiliations, published artifacts or an honest research-stage label.

01

Academic direction

Artificial Intelligence M.Sc. student at the University of Tehran

02

Institutional profile

Profiled by the University of Tehran research vice-presidency · June 2026

03

Working principle

Evidence and limitations remain visible beside the work

Selected products

Six projects. Six human problems worth solving.

Behind every system is a person trying to write, learn, move, choose, feel at home or publish responsibly. These project covers make that human purpose visible; they are concept visuals, not product screenshots.

Writers shaping a story through a sequence of visual cards
Concept visual · created for this project · 01
01Working product

Story Studio

A Persian-first writing companion that helps a writer turn one raw idea into a clear narrative—step by step, from brief and structure to revision and export. AI supports the creative process instead of replacing the writer.

Persian AI writing · Creative workflow
Older adult and researcher using a gentle movement game together
Concept visual · created for this project · 02
02Research prototype

Parkinson Game

A research prototype that turns simple movement and attention exercises into an approachable game. Participants get a friendly experience while researchers study interaction patterns—without exposing personal or medical data.

Serious games · Privacy-first research
Teacher and student in a focused learning conversation
Concept visual · created for this project · 03
03Educational MVP

Dialog

A learning space built around better questions, thoughtful conversation and useful feedback. It helps teachers and students make the learning process visible instead of reducing education to a one-way lecture.

Education · Dialogue · Feedback
Visitor exploring an unbranded concept car in an interactive gallery
Concept visual · created for this project · 04
04Interactive demo

Auto Gallery

An interactive gallery for exploring a car beyond static photos. Visitors can understand form, materials and details at their own pace, turning product discovery into a calm, premium experience.

3D product experience · Interactive discovery
Family receiving a visitor pass at a welcoming residential community
Concept visual · created for this project · 05
05PWA prototype

ALRAWAN

An Arabic-first residential experience that brings service requests, visitor access and everyday community needs into one simple mobile flow. The demo uses synthetic data and represents no real residents.

Arabic PWA · Community services
Editor comparing sources and preparing a careful draft article
Concept visual · created for this project · 06
06Local workflow

HODHOD

A responsible editorial workflow that helps an editor gather feeds, compare sources, review images and prepare a WordPress draft. Automation handles repetition; the final publishing decision stays human.

Editorial automation · Human approval
Selected work

Evidence-led foundations

The academic and teaching work behind these products remains documented below, with its evidence and limitations kept visible.

01
Historical applicationCompleted · documented

Tawiyah

An Android health-awareness application designed and developed during COVID-19 under university supervision.

Role
Design & development
Method
Android product design · health-information flow
Evidence
Two institutional profiles
Read evidence note
What remains unverified

Current build availability and independent impact are not verified.

Source state: University of Tehran and Al-Mustafa institutional profiles.
Historical case preview
TAndroid · 2020
NeedGuided informationSupported action
Documented health-information flow · current build unavailable
02
Teaching evidencePublished · verified

NotebookLM Course

A published Faradars course that documents teaching experience with an applied AI research tool.

Role
Instructor
Method
Applied AI research workflow · instruction
Evidence
Public instructor and course pages
Read evidence note
What remains unverified

Evidence of tool education, not a scientific research claim.

Source state: Public Faradars instructor and course pages.
Teaching record preview
NotebookLM
Research toolStructured teaching
Published teaching evidence · Faradars
Direct contact

When you are ready to talk, choose your signal.

Five direct routes, designed as one calm contact desk. Each one is ready to activate when its verified detail is added.

Ready to connect
  1. 01
    A direct conversationPhone
    Ready to connect
  2. 02
    Code, builds and experimentsGitHub
    Ready to connect
  3. 03
    Professional profile and updatesLinkedIn
    Ready to connect
  4. 04
    Quick messages and coordinationWhatsApp
    Ready to connect
  5. 05
    Messages and project conversationsTelegram
    Ready to connect