Drill Video Upload
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Sports · AI Prototype
BJJ AI Coach
An AI-powered Brazilian Jiu-Jitsu coach that reviews drill videos and returns technique scores and feedback.
ReactTypeScriptPythonComputer VisionPose DetectionAI Analysis
Demo
See it in action.
A quick walkthrough of the product experience.
Demo video coming soon.
Live Demo
Experience the application yourself.
Open the live project in a new tab and explore its available features.
This project may still be under active development. Some features may require an account or use demonstration data.
Overview
What this project is.
BJJ AI Coach is an AI-powered Brazilian Jiu-Jitsu training platform. Practitioners upload drill videos and get back per-technique scores, specific findings, and personalized feedback — the kind of review normally only available from an in-person coach.
Business Problem
The challenge.
Most BJJ practitioners train without regular coach feedback on their drills. Video exists, but nobody has time to review it — and self-reviewing is unreliable at the level where technique actually improves.
Solution
How we solved it.
BJJ AI Coach applies pose detection and technique-specific scoring to uploaded drills, then generates human-readable findings and improvement suggestions. Progress is tracked over time so practitioners see real skill drift.
Key Features
What's inside.
The core capabilities that make this product useful in the real world.
Pose Detection & Scoring
Per-technique scoring grounded in pose data, not vibes.
AI Findings & Feedback
Specific, actionable notes on what to fix and why.
Progress Tracking
Track scores and findings over time to see real technical progress.
Reference Technique Library
Reference clips to compare against your own drills.
Capture-And-Upload Flow
Mobile capture, desktop review — the natural training workflow.
Gallery
A closer look.
Screenshots across desktop, tablet, and mobile.
Screenshots coming soon.
Development Process
From research to continuous improvement.
Research
Understand users, goals, and constraints.
Planning
Scope, milestones, and success metrics agreed together.
UI Design
Clean, on-brand interfaces designed for real workflows.
Development
AI-augmented engineering with weekly, demoable progress.
Testing
QA, performance, and security hardened before launch.
Continuous Improvements
Iterate on real feedback after launch.
Technology Stack
Built with a modern, reliable stack.
ReactTypeScriptPythonComputer VisionPose DetectionAI Analysis
Project Value
Why this matters for the business.
- Coach-style feedback without waiting for the next class
- Objective scoring instead of guesswork on self-review
- Progress tracking makes technical improvement visible
- Works with the video practitioners are already capturing
More work
Related projects.
Other products in the portfolio you might want to explore.
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