Stakeholder brief Technical + business readiness · Oct 2026

Golf is the starting point. Human movement is the platform.

IHMP.AI / IGSC.AI is developing a real-time movement-coaching platform: a smart mirror for training on your own, and later for remote sessions with a professional. We're testing technical feasibility and business evidence at the same time.

Concept rendering: a golfer swings in front of a smart mirror that overlays a pose skeleton and coaching cues Concept rendering · future state
≥30 FPSProposed target
≤100 msLatency target
2 modesSelf + pro coaching

The images are AI-generated concepts of the planned experience, not photos of a working system. The ≥30 FPS and ≤100 ms figures are engineering goals that haven't been verified yet.

01 · ENGINEERING

Can we build it?

Independent runtime and smart-mirror feasibility assessment.

02 · CUSTOMERS

Who will buy it?

Proposed Scheller customer discovery and commercialization research.

03 · MARKET

How big can it be?

Golf TAM / SAM / SOM, plus a careful screen of adjacent markets.

Experience the concept · Live in your browser

Step in front of the mirror.

This is the core idea: a camera sees your body, AI finds your joints, and feedback appears instantly. Watch the demo swing, or turn on your camera and see open-source pose tracking follow you in real time. It also measures how fast your own device runs it.

IHMP.AI concept demo Demo swing
Frame rate—fps
Pose inference—ms per frame
Keypoints—tracked
Spine tilt—degrees
Lead arm—elbow angle
Phase—swing position
≥30 FPS target—
Pose time vs. 100 ms budget—

Camera mode runs Google's open-source MediaPipe pose model on your device. Video never leaves your browser, and nothing is recorded or uploaded. This demo shows the concept. It isn't the IHMP.AI system, and your device's numbers aren't IHMP.AI benchmarks.

Why this stage matters

Prove the integrated system, not just the idea.

Existing university-sponsored movement-analysis work is a research starting point. A commercial product needs a reliable chain from camera to pose estimation, motion interpretation, coaching logic and on-mirror feedback, with measured latency and reliability. The next dollars should reduce those risks.

01 / Assess

Independent technical assessment

Review the inherited code, proposed architecture, sensor and GPU choices, latency bottlenecks, integration risk, IP dependencies and realistic engineering staffing.

02 / Integrate

A credible demonstrator path

Define a live capture-to-coaching pipeline with measurable acceptance tests. The targets are ≥30 frames per second and ≤100 ms end-to-end latency, both still to be validated.

03 / Validate

Commercial and platform evidence

Tie the measured engineering capabilities to a golf-first workflow, a professional-instruction mode, customer discovery, market sizing and clear criteria for expanding.

Interactive · The 100 ms problem

Every stage spends part of the budget.

Live coaching only feels live if the whole chain, from photons to feedback, fits in about a tenth of a second. Drag each stage to see how the end-to-end budget behaves. Measuring this for real is exactly what the technical assessment is for.

Interactive planning model. The starting values are an illustrative split you can adjust, not measured results. The assessment will benchmark each stage on the real hardware, including the ZED 2i depth camera and GPU/edge compute.

End-to-end latency
0ms of 100 ms target
Latency target
≤ 100 ms
Frame-rate target
≥ 30 FPS
Frame interval at 30 FPS
33.3 ms
Headroom
—

One platform · two coaching modes

Train on your own, or with a professional.

The vision goes beyond replaying a swing. People could train with on-mirror guidance at home, at school, in a studio or at a practice facility. The same architecture could later support remote sessions with a qualified instructor, coach or therapist, depending on each application's requirements.

Concept rendering: smart mirror showing self-guided swing analysis Concept rendering: smart mirror with a live remote instructor on screen

Self-directed training

Intended capabilities for training on your own.

  • Personalized drills
  • On-screen movement cues
  • Voice guidance
  • Progress tracking

Concept renderings only. Interface values, hardware form factor and product capabilities are illustrative and haven't been validated.

Platform extension

Golf is the first vertical. Not the ceiling.

Movement capture, comparison, real-time processing and contextual feedback could inform future offerings well beyond golf. Each field would need its own validation, workflows, risk controls and business model. Every candidate below is a hypothesis to test.

One skeleton · many verticals Golf First vertical
Concept rendering: the same smart mirror used for golf, fitness and rehabilitation
AI-generated exploratory vision. No clinical, workplace or launch claim implied.
01Golf and instructor coaching

The initial target market and source of pricing evidence.

Entry vertical
02Other sports performance

Specialist movements and professional instruction.

Hypothesis
03Fitness and training

Form, repetitions and guided exercise.

Hypothesis
04Rehabilitation and PT

Requires clinical validation and extra safeguards.

Hypothesis
05Aging and mobility

Balance and appropriate supervised activity.

Hypothesis
06Workforce ergonomics

Job-task movement, training and safety workflows.

Hypothesis
07Military / tactical training

A possible dual-use study. No DoD relationship implied.

Hypothesis

Proposed · Georgia Tech Scheller College of Business

Business assessment runs alongside engineering, not after it.

The technical assessment asks what can be built and at what cost. The proposed Scheller practicum asks who needs it, which golf customer to serve first, what they might pay, and what evidence would justify a pilot or further investment. Scheller participation still depends on program approval, staffing and an agreed scope.

A / Priority

Customer discovery and beachhead

Screen golf buyers and interview teaching professionals, practice facilities, academies, college programs and serious amateurs. Recommend the first reachable segment based on documented evidence, not assumptions.

C or D / Second module

Economics or a pilot plan

Pick one more workstream based on readiness: pricing and unit economics (C), or partner selection, pilot metrics and milestones (D). Full market, pricing and pilot studies are too much for one small practicum.

F / Phased addition

Platform market opportunity

Start with careful market-size estimates for golf, then screen plausible expansion markets. Deep cross-industry TAM/SAM/SOM work should be commissioned as follow-on work, not promised in one semester.

Engineering assessment

Can we achieve dependable live coaching?

Code review, runtime architecture, camera-to-feedback latency, pose and correction accuracy, display integration, costs and required skills.

Scheller business assessment · proposed

Will customers pay for a useful product?

Interview evidence, golf beachhead selection, pricing or pilot design, competitive positioning and realistic commercial priorities.

Practicum scale: the October draft discussed 3–5 MBA students at about 20–30 hours each. For one term, a more credible scope is customer discovery plus at most one substantial additional module. Spring 2027 is a planning possibility, not a confirmed university engagement.

Proposed Module F · Market opportunity

A staged market assessment, not an invented valuation.

We won't add up the entire sports, fitness, rehabilitation and industrial markets and call that IHMP.AI's market. A credible assessment separates reachable buyers, viable product setups, competing alternatives and the cost of entering each field.

Near term: evidence-backed golf customer segments, first golf TAM/SAM/SOM assumptions and a ranked shortlist of 2–3 expansion markets. Until the research is done, no dollar figure for market size or revenue is presented as fact.

Engineering development strategy

From independent assessment to a testable build.

The technical review, proposed Scheller work and IP clarification should all lead to one demonstrator and one investment decision. University student-team participation depends on selection and approval.

Pathway A · Technical due diligence

Define the real-time runtime

Study the existing pipeline, work out what has to be replaced or re-engineered, and decide how to integrate the ZED 2i depth camera, GPU/edge compute, pose estimation, correction logic and mirror output.

  1. Independent architecture and code review
  2. Latency, throughput and component benchmarks
  3. Display/controller and system integration assessment
  4. Build-vs-buy decisions, skill map and costed roadmap
Pathway B · Commercial validation

Turn a demonstrator into evidence

Design for two complementary modes, individual training and future remote coaching, rather than limiting the product to a single swing-analysis app.

  1. Golf-first user experience and feedback criteria
  2. Remote coaching requirements, permissions and workflows
  3. Pilot design, customer interviews and economics
  4. Prioritized opportunities in adjacent movement markets
Concept rendering of the remote coaching experience
Illustrative concept. Hardware, software and performance are still under development.

Target next phase: preparing for a possible Spring 2027 demonstrator effort, depending on assessment findings, the engineering team, resources and validation. University capstone participation isn't guaranteed.

Proposed non-dilutive support request

Fund the assessment. De-risk the build.

A roughly 90-day technical-readiness phase, with business-assessment scoping. This isn't presented as the cost of finishing a full commercial product.

Initial sponsorship target
$50,000

Supporters would enable an independent technical report, verified baseline measurements, a costed engineering roadmap, and preparation for golf customer discovery and market-sizing work.

A full Scheller practicum and multi-market study would need separately confirmed academic arrangements and additional resources. The figures are planning numbers, not quotes received or money committed.

Illustrative allocation of the $50,000

The proposed $4,000 business workstream covers project preparation, screening and research coordination. It is not a contracted full Georgia Tech MBA project or a complete seven-sector market study. All allocations are estimates, subject to professional quotes, program approvals and funding.

DAYS 01–30

Audit and scope

Inventory software, hardware and IP dependencies. Scope a Scheller proposal, screen initial golf customer segments and define market-sizing assumptions.

DAYS 31–60

Test assumptions

Benchmark the critical runtime pipeline. Draft the first golf customer-discovery questions and gather evidence requirements for pricing, a pilot and ranking expansion markets.

DAYS 61–90

Issue the build decision

Deliver the technical findings, a costed demonstrator roadmap, a proposed Scheller project charter, a market-sizing research plan and prioritized business milestones.

These checkpoints cover the initial readiness phase, once funding and qualified leadership are in place.

Radical transparency

Where things stand today.

Serious backers deserve a plain list of what is proposed, what is a target and what is still unproven.

Proposed$50,000 readiness sponsorship

A planning request. No funding has been received.

ProposedGeorgia Tech Scheller practicum

Under review. Not approved, and not an institutional endorsement.

Target≥30 FPS · ≤100 ms latency

Engineering targets that haven't been verified yet.

ConceptProduct imagery

AI-generated renderings of the planned experience, not a delivered product.

HypothesisSeven expansion categories

Opportunities to study, not proven markets or clinical claims.

Under reviewIntellectual property

Sponsored-research IP and licensing questions are under review with counsel.

Frequently asked questions

What a stakeholder should know.

How does the Georgia Tech Scheller business assessment fit?

We've proposed a Spring 2027 MBA practicum, or another suitable engagement, to look at golf customer discovery, market entry and one more priority such as pricing or pilot design. Participation, staffing, fees, timing and deliverables aren't confirmed.

Is the entire platform market already sized?

No. The proposed Module F would first estimate golf TAM/SAM/SOM using clearly defined buyers and assumptions, then screen seven candidate application groups, including sports, fitness, rehabilitation, aging, workplace movement and tactical training. A deeper multi-industry study would be scoped separately. No total market estimate or revenue forecast is presented as validated.

Does the $50,000 pay for both complete assessments?

No. The $50,000 is a proposed initial technical-readiness budget, with $4,000 set aside for golf-market, Scheller practicum and pilot scoping. It doesn't guarantee an approved MBA practicum or a full multi-industry market report. Extra resources and university approvals may be needed.

Does a working real-time smart mirror already exist?

No. The images here are concept art. IHMP.AI / IGSC.AI is working toward an integrated demonstrator. The ≥30 FPS and ≤100 ms end-to-end latency figures are engineering targets, not verified performance.

What does the $50,000 actually purchase?

The budget prioritizes an independent technical architecture review, latency measurement and system-integration planning, with $4,000 to prepare golf-market research, a possible Scheller engagement and pilot scoping. It doesn't buy an entire commercial product or a guaranteed university practicum.

Why include remote coaching?

The platform is meant to serve both self-directed training and professional sessions. Future versions could support instructor-led programs, individual goals, consent-based professional access, session feedback and progress tracking. These capabilities still need design and verification.

Is golf the only market?

Golf is the entry vertical. The same foundation could be adapted to fitness, rehabilitation, workplace safety or other movement settings, but those are opportunities to study, not validated products or clinical claims.

Have university or corporate partners committed to the campaign?

No. This page doesn't claim that any person, university, company or funding program has committed money, endorsed the campaign or agreed to provide services. Any collaboration would need its own engagement and approvals.

What is the status of intellectual-property rights?

Questions about sponsored-research IP and licensing are under review with counsel. Any necessary rights and commercial arrangements must be settled before commercialization. Supporting the assessment doesn't grant rights to third-party IP.

Is this a charitable donation or an equity investment?

Neither is assumed. IHMP.AI / IGSC.AI is a for-profit venture seeking negotiated, documented development sponsorship or other lawful support. Payments aren't presented as tax-deductible gifts, and equity discussions would happen separately.

What happens after the 90-day phase?

The goal is an informed go/no-go or revised-build decision, an accountable engineering plan and early pilot criteria. A possible Spring 2027 demonstrator effort depends on team availability, technical feasibility, legal rights and resources.

The next 90 days

Help turn research into a demonstrable product.

One accountable phase: an independent technical report, measured baselines and a costed roadmap to a go/no-go build decision.

Explore sponsorship See the $50K plan