Laalain - Digital Agency

import { CaseStudyLayout } from "@/components/case-study-layout";

export const caseStudy = {
  date: "2025-01-15",
  title: "AI Golf Swing Coach App",
  description: "A sports-training company wanted a mobile app that could give golfers instant swing feedback without needing an in-person coach. We delivered a cross-platform AI training app using video pose analysis and personalized drill plans.",
  category: "Mobile App",
  clientType: "Sports Training Company",
  results: [
    "50k downloads in 8 weeks",
    "28% week-4 retention (strong for sports apps)",
    "+6% average club-head speed improvement in 6 weeks among active users"
  ],
  image: "https://images.unsplash.com/photo-1535131749006-b7f58c99034b?ixlib=rb-4.0.3&ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D&auto=format&fit=crop&w=1470&q=80",
};

export const metadata = {
  title: caseStudy.title + " | Laalain Case Study",
  description: caseStudy.description,
  openGraph: {
    images: [caseStudy.image],
  },
};

export default (props) => <CaseStudyLayout caseStudy={caseStudy} {...props} />;

## Overview

A sports-training company wanted a mobile app that could give golfers instant swing feedback without needing an in-person coach. Laalain delivered a cross-platform AI training app using video pose analysis and personalized drill plans.

## The Challenge

Most golfers practice alone and don't know what to fix. Existing apps were either manual or inaccurate in real-world conditions. The client needed:

* Reliable swing analysis from phone videos.

* Clear, actionable coaching feedback.

* Progress tracking that motivates consistency.

* A product that works indoors/outdoors across lighting conditions.

## Goals

1. Analyze swing form automatically and accurately.

2. Provide coach-style feedback and drills.

3. Track progress week-to-week.

4. Improve retention with habit and challenge loops.

## Our Approach

We built a lean MVP first to test accuracy and UX, then expanded:

* Curated swing datasets by skill level.

* Tuned pose detection for typical amateur angles.

* Designed coaching output to feel "human," not robotic.

* Added gamification and community after core value proved.

## The Solution

An AI swing coach in your pocket.

### Key Features

* **Swing Capture Mode:** Angle guide, slow-mo playback, frame markers.

* **Pose Analysis:** Detects hip/shoulder rotation, club path, impact alignment.

* **Instant Feedback:** "What's wrong" + "how to fix it" summaries.

* **Personalized Drills:** Based on skill tier and recurring flaws.

* **Progress Dashboard:** Trends on core metrics over time.

* **Challenges & Community:** Streaks, leaderboards, coach marketplace.

## Tech Stack

Flutter, Python ML, pose estimation pipeline, Firebase, GCP Functions, Stripe.

## Results

* **50k downloads** in 8 weeks.

* **28% week-4 retention** (strong for sports apps).

* **+6% average club-head speed improvement** in 6 weeks among active users.

## What's Next

Add wearable sync and pro-level shot-planning modules.