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Built by RoviDev Studio

Sensesbit — project cover
SAAS · ANALYSIS · FASTAPI

Sensesbit

Complete SaaS platform to manage sensory analysis sessions, samples, responses and AI reports. Multi-module FastAPI backend with a SvelteKit frontend, Logto auth and MinIO storage.

FastAPI SvelteKit PostgreSQL Logto MinIO
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Project overview

Project built by RoviDev Studio: a SaaS platform for session and sample analysis. It manages sensory analysis sessions, samples, responses and AI reports on a multi-module FastAPI backend…

APIMulti-moduleSessions, samples, responses, attributes and reports.
AuthLogto OIDCEnterprise authentication with organisations.
AIAuto reportsReport generation with artificial intelligence.
WSNotificationsWebSocket for real-time alerts.

Problem → Solution

The challenge

  • Sensory analysis studies need to digitise sessions, samples and responses.
  • Managing organisations, users and permissions in a SaaS requires enterprise auth.
  • Generating reports from session data is manual and slow without AI.

The RoviDev Studio delivery

  • FastAPI API with modules for sessions, questions, responses, samples and categories.
  • SvelteKit 5 frontend with dashboard, advanced filters and D3 visualisation.
  • Logto/OIDC authentication with organisations and webhooks.
  • AI reports, WebSocket notifications and MinIO/S3 storage.

What’s inside

Sessions

Full management

Create, configure and track analysis sessions.

Samples

Tracking

Sample logging with attributes, categories and tags.

Responses

Collection

Structured response capture with validation.

Reports

Automatic AI

Smart report generation from data.

Dashboard

SvelteKit 5

Modern panel with filters, pagination and D3 visualisation.

Auth

Logto enterprise

OIDC with organisations, roles and webhooks.

Stack & architecture

BackendFastAPI + SQLModelPython 3.14 with Alembic and PostgreSQL.
FrontendSvelteKit 5 + ViteSvelte 5 with Tailwind 4 and Tolgee i18n.
AuthLogto OIDCEnterprise authentication with organisations.
StorageMinIO/S3File and asset storage.
AIAutomatic reportsReport generation with AI models.
InfraDocker SwarmDeployment with PgBouncer and Sentry monitoring.

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