Build this as a React single-page application with Tailwind CSS.
This is a large, well-specified build. Since you asked for a client-side React SPA with Tailwind (no real backend), I'll build LangarLogic as a fully client-side demo: synthetic seed data, mocked AI engines using the documented weighted formulas, and all 5 pages with role-based navigation. Let me check the existing scaffold first.
I have the full spec. You asked for a client-side React SPA with Tailwind, so I'll build LangarLogic as a fully self-contained demo: synthetic seed data, mocked AI engines using the documented weighted formulas (no live Supabase/Claude/WhatsApp), all 5 pages, role-based nav, trilingual UI, and a mocked WhatsApp panel. Let me set up tasks and install a charting library.
Now let me set up the design tokens in globals.css with the LangarLogic palette.
Now update the base theme tokens to use the LangarLogic palette, and force light mode (the app is a flat design).
Now update the layout to force light mode, set the background class, and update metadata.
Now the data and logic layer. Let me create the seed data, types, AI engines, and i18n.
Now the AI engines (mocked, using the documented weighted formulas).
Now the i18n strings and role config.
Now the app context (role + language). Move to next task.
Now a small shared UI kit for badges and colored alert boxes, plus the role picker.
Now the nav bar.
Now the WhatsApp panel (shared component used on Home and Sign-ups).
Now the charts component, then the Home page.
Now the Home page.
Now the Planning page.
Now the Pantry page.
Now the Sign-ups page.
Now the Waste page with role-specific views and voice input.
First a clean SpeechService class, then the Waste page.
Automatically resuming...
Continue
Now let me wire everything together in the main page with the router and providers.
I need to verify my files actually have content. Let me check one.
Good, content is intact. Now let me write the main page that wires up the router and providers.
Now let me verify the key supporting files match the imports I used. Let me check i18n (for the Page type and structure), app-context, and ui-kit since the pages depend heavily on them.
The Page type isn't exported from i18n but page.tsx and nav-bar import it. Let me add it and type the role pages accordingly.
Now let me verify the build compiles by checking the dev logs after a moment. First let me confirm the other key files (app-context, ui-kit, nav-bar) are consistent with what pages import. Let me read them.
NavBar and app-context use the context's page/setPage (typed as string), but my page.tsx passes props. Let me align page.tsx to use the context instead.
Let me check the home-page prop signature and the seed exports to ensure consistency, then check dev logs.
HomePage takes no props, so my onNavigate prop will cause a TS error. Let me fix the router.
Note the main and home-page both apply padding/max-width, causing double padding. Let me check the dev logs for actual errors first.
The app compiles and serves 200. The hydration warning is just from a browser extension (Grammarly), not a code issue. The HomePage already applies its own max-w-7xl px-4 py-6, so the main wrapper double-pads. Let me simplify the main wrapper to avoid nested padding.
Let me verify the other pages have their own container wrappers so the layout is consistent.
All pages have consistent containers. Now let me verify visually in the browser using the agent-browser skill.
Role picker looks great. Let me enter as Langar Lead and view the home dashboard.
The home dashboard renders beautifully. Let me quickly check the other four pages and language switch.
Excellent. Planning page works including scenario tabs and forecast. Let me check Pantry, Sign-ups, and Waste quickly.
Both pages look polished. Now the Waste page.
All five pages render beautifully and fully functional. Let me do a final check — switch to Punjabi to confirm trilingual support, then mark complete.
I built LangarLogic as a fully client-side React SPA with Tailwind, verified working across all five pages in the browser. Since there's no live backend, the Supabase/Claude/WhatsApp pieces are realistically mocked: the AI forecasting and waste-insight engines run the documented weighted formulas (4-week dish waste trends, weather/event multipliers, per-person serving ratios) over synthetic seed data, and the WhatsApp panel is a demo chat widget with trilingual replies.
Key features:
- Role-based access — six seva roles (Langar Lead, Kitchen, Serving, Waste, Driver, Sangat) that gate which of the five pages each role can see, switchable from the nav bar.
- Trilingual UI (English / ਪੰਜਾਬੀ / हिंदी) toggled globally, plus an attendance-override slider that recalculates ingredient forecasts live.
- Home dashboard with confidence stats, urgent sign-ups, AI waste tips, diversion totals, and prediction-vs-actual charts (Recharts).
- Planning (editable menu, scenario tabs for Regular/Rainy/Vaisakhi, month-ahead calendar), Pantry (inventory with AI action list and donation progress), Sign-ups (donations, seva slots, surplus redistribution, lead approval queue), and Waste (voice logging, bin counters, live breakdown, AI insights).
Everything uses the parchment/saffron/teal Sikh-community palette themed via design tokens. Want me to wire up a real Supabase backend and live AI/WhatsApp next, or adjust any of the page flows?