AI & Machine Learning Club Website

Official web platform for the AI & Machine Learning Club at Oriental College of Technology.

1. Install dependencies:

npm install

2. Create local env file:

cp .env.example .env.local

3. Start the app:

npm run dev

npm run lint
npm run lint:scripts
npm test
npm run build

Use .env.local (never commit it):

• NEXT_PUBLIC_APPWRITE_ENDPOINT
• NEXT_PUBLIC_APPWRITE_PROJECT_ID
• NEXT_PUBLIC_APPWRITE_DATABASE_ID
• APPWRITE_API_KEY

Optional script-only path variables:

• IMAGE_PATH
• IMAGES_DIR
• FILES_DIR
• APP_APK_PATH
• APP_AAB_PATH

All Appwrite maintenance scripts now read credentials from environment and support CLI path args.

Windows (PowerShell):

$env:APPWRITE_API_KEY="your_key"
npx tsx scripts/upload-about-images.ts "D:\data\about-images"
npx tsx scripts/upload-apps.ts "D:\builds\AIML Club.apk" "D:\builds\AIML Club.aab"

POSIX (bash/zsh):

APPWRITE_API_KEY="your_key" npx tsx scripts/upload-about-images.ts "/data/about-images"
APPWRITE_API_KEY="your_key" npx tsx scripts/sync-aanya.ts "/data/images/ananya.png"

GitHub Actions workflow is defined in .github/workflows/ci.yml and runs:

• lint
• tests
• production build
• audit (moderate and above)