Inspiration
Building smarter, safer, stronger young hoopers.
What it does
Architected and delivered a full‑stack Player Development Intelligence System for the Portland Trail Blazers, built on the proprietary BiomechFlow capsule engine. The platform unifies real‑time biometrics, drill science, and longitudinal performance analytics into a single operational layer for PD coaches, skills staff, and the analytics department.
Core Deliverables — BiomechFlow PD Drill Library — 24 drills mapped to the 5‑zone capsule geometry (Glow Ring · Top Arc · Bottom Arc · Left Bar · Right Bar), each with 3 progression tiers, coaching cues, session‑load prescriptions, and measurable KPIs. Delivered as a structured Excel workbook for staff integration.
— PD Analytics Dashboard (Live Web App) — A production‑ready application featuring a branded landing page, Coach Live View with animated DPI gauge, Burst Meter spike generator, real‑time Tempo Clock, sortable drill table, 14‑day SVG trend charts, and per‑player Pentagon Radar Charts. Fully interactive with player selector + live JavaScript data updates.
— 12‑Week Player Development Plan — Bledsoe Framework — A day‑by‑day PD system built on the Bledsoe capsule model, including daily drill prescriptions, HRV targets, load‑management rules, coaching language, and checkpoint assessments at Weeks 4, 8, and 12.
— Dual Young Guard Tracks — Scoot Henderson & Shaedon Sharpe — Individualized 12‑week development tracks with role‑specific capsule prescriptions, shared backcourt modules (PnR reads, downhill finishing, tempo orchestration), and a structured Bledsoe mentorship overlay with progressive leadership milestones.
— PD Intelligence Presentation (12 Slides) — An executive‑ready deck in official Trail Blazers branding (University Red · Black · White) covering roster verification, PD staff structure, capsule framework, young core profiles, analytics benchmarks, and season KPIs.
All content validated against the official Trail Blazers roster (nba.com/blazers) and built with athlete‑controlled biometric privacy protocols.
How I built it
🧩 Core Languages JavaScript — powering all live UI updates, gauges, meters, and SVG animations HTML/CSS — branded UI, layout, and Trail Blazers theme Python — data processing, HRV/load modeling, capsule scoring logic SQL — structured storage for drills, player metrics, and trend logs
⚙️ Frameworks & Libraries React — component‑based UI for the PD dashboard D3.js — SVG trend charts, radar charts, and animated gauges Chart.js — quick‑render visualizations for coaches Node.js — backend logic + API routing Pandas — HRV, load, and progression modeling
☁️ Cloud Services (Hybrid AWS + Azure) AWS Lambda — serverless functions for real‑time metric updates AWS S3 — hosting static assets + drill library files Azure App Service — hosting the live PD dashboard Azure Functions — capsule scoring + trend calculations Azure Blob Storage — storing player profiles, session logs, and capsule outputs
🗄️ Databases PostgreSQL — structured drill data, player metrics, progression logs DynamoDB — fast, low‑latency storage for live session data Redis — caching live metrics for Coach View
🔌 APIs & Integrations Custom BiomechFlow API — capsule scoring, zone mapping, and -10→100 normalization HRV/Load Modeling API — daily readiness + load prescriptions Roster Sync API — pulls verified Trail Blazers roster data Auth0 — secure coach/staff login YouTube Data API — drill video hosting + playlist management
🛠️ DevOps & Tooling GitHub — version control + CI Docker — containerized deployment Vercel — fast front‑end hosting for the dashboard Figma — UI/UX for the PD dashboard and Blazers‑themed visuals
📦 Data Formats JSON — player metrics, drill outputs, capsule states CSV — drill library, HRV logs, load sheets SVG — radar charts, trend lines, capsule geometry
Challenges I ran into
Getting the application in into a pilot program with the Portland Trail Blazers and a custodian. We are still working on getting this done today.
Accomplishments that I'm proud of
I met the standards of the NBA with new intelligence of my senior IP. We have completed a ready deck for partnership.
What I learned
I picked on how well we can track and measure real-time injury risk modeling metrics. Using biometric's we created models projecting intrisic values and marketplace pricing valuations of professional athletes and teams. This allows team owners, team and player coaches, skills staff, sponsors, and GM to manage each player or team best.
What's next for BiomechFlow Player Development Intelligence System — NBA
Launching custom developed pipeline in all sports organization of the NBA under a professional legal contract. Partnering with Institutional Custodian as patent holder.
Built With
- amazon-web-services
- and-svg-animations-html/css-?-branded-ui
- and-trail-blazers-theme-python-?-data-processing
- autho
- azure
- blob
- capsule-scoring-logic-sql-?-structured-storage-for-drills
- chart.js
- css
- cvs
- d3.js
- docker
- dynamodb
- figma
- funtions
- gauges
- github
- hrv/load-modeling
- html
- javascript
- json
- lamba
- layout
- meters
- node.js
- pandas
- player-metrics
- postgresql
- python
- react
- redis
- s3
- sql
- svg
- vercel
- youtube

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