Improve AI response formatting, Tailwind styling, and Neon database integration

[kunal-yelgate]

Summary

This PR improves the app’s backend and frontend experience by connecting the project to Neon Postgres, cleaning up AI response output, and modernizing the chat UI with Tailwind styling.

What changed

• Added Neon/Postgres database support with DATABASE_URL configuration and safe SQLite fallback
• Installed the PostgreSQL driver required for Neon connectivity
• Updated the backend AI response pipeline to remove emojis, decorative stars, and noisy markdown
• Preserved clean structure with proper headings and bold emphasis for important content
• Improved streaming-style chat rendering for a more polished UX
• Reworked the frontend chat interface to use Tailwind CSS utilities instead of custom CSS-heavy styling
• Updated the project milestone notes in the implementation step file

Why

• The app needed a proper production database connection for persistent data
• AI responses were visually noisy and not presentation-friendly
• The frontend needed a cleaner, more maintainable styling system

Validation

• Backend AI response regression test passed
• Frontend production build succeeded
• Neon database connectivity check passed

[vercel]

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Project	Deployment	Actions	Updated
frontend	Ready	Preview	Sep 8, 2026 6:28pm UTC

[sonarqubecloud]

Quality Gate passed

Issues
7 New issues
0 Accepted issues

Measures
0 Security Hotspots
0.0% Coverage on New Code
0.0% Duplication on New Code

See analysis details on SonarQube Cloud