Project deep dive
Implementation details, architecture trade-offs, and outcomes from this engagement.
Tuula Report Generator – AI-Powered Job Reporting Suite
Tuula Report Generator streamlines how clinicians and specialists capture, review, and share case insights. The platform blends structured workflows with AI-assisted transcription and reporting so teams can focus on care rather than paperwork.
Key Features
- Jobs Dashboard — Monitor case status, ownership, and progress with real-time filters, search, and pagination
- AI Transcription & Analysis — Upload audio, generate rich transcripts, and surface structured findings instantly
- Interactive Report Editing — Review historic reports, edit current drafts, and regenerate insights with guided forms
- Session Playback & Downloads — Play audio inline, export transcripts, and download finalized reports on demand
- Role-Aware Access — Secure authentication with session refresh, mockable locally for offline development
Technology Stack
A modular architecture keeps the workflow fast, resilient, and easy to extend:
- Next.js (App Router) & React — Server-driven UI with streaming data, Suspense, and granular client islands
- TypeScript & Tailwind — Typed components and consistent styling via shadcn/Radix primitives
- Zod & React Hook Form — Declarative validation for complex report schemas
- nuqs — URL-driven state for pagination, sorting, and filters
- Python Flask Services — Backend APIs orchestrating job processing and report lifecycle
- PostgreSQL — Durable data store for jobs, reports, and audit history
- AWS Transcribe & Bedrock — Speech-to-text and question-answering pipelines powering insights
- NextAuth — Credential flow with refresh support, plus a full mock layer for local development
- Vercel (Next) & AWS — Edge-ready frontend with scalable job processing infrastructure
My Contributions
- End-to-End — Built a comprehensive API layer (auth, jobs, reports, uploads) enabling full local UX without backend access
- Authentication Flow — Integrated credentials login with token refresh, session syncing, and mock parity
- Job & Report UI — Implemented dashboard tables, job detail tabs, report editors, and transcript experiences with Suspense-driven data loading
- Upload & Transcription UX — Added presigned upload workflow, optimistic progress tracking, and AI transcript presentation
- Documentation & DX — Authored environment, and workflow docs to keep onboarding frictionless
Why Tuula Stands Out
✓ AI in the Loop — Seamless hand-off between human expertise and automated transcription/analysis
✓ Clinician-Centric UX — Designed for real-world reporting workflows, not generic CRUD dashboards
✓ Offline-Friendly Development — Rich infrastructure keeps feature work unblocked when services are unavailable
✓ Secure & Scalable — Typed front end, Flask APIs, Postgres storage, and AWS AI services deliver enterprise-ready reliability





