Projects

Problem

Speech therapy documentation is professionally demanding and time-consuming. Structured reports are mandatory, but writing them manually consumes time that is missing from the actual therapy.

Solution

The prototype combines transcription, structured extraction, and validated report generation. Focus: traceable draft reports, clear user guidance, robust data structuring, and professionally useful outputs.

Result

A traceable AI workflow that converts unstructured speech input into professionally structured, validatable draft reports.

Problem

Starting from a collaborative platform concept for creative and film projects: how can authentication, data modeling, collaborative product logic, and AI functionality be combined so that LLM outputs flow into real application processes in a traceable way?

Solution

RealizeTogether serves as a testbed for AI integration patterns: authentication, data model, FastAPI backend, Supabase, LangChain, and Pydantic structured outputs. The project demonstrates validated AI outputs, workflow integration, role/data logic, and safe extensibility.

Result

Ongoing R&D/MVP platform with authentication, data layer, and AI pipeline — a basis for evaluating AI integration patterns.

Problem

A portfolio backend with AI functionality should remain available even when a provider hits quota limits or is temporarily unavailable.

Solution

FastAPI with LangChain multi-fallback: Google Gemini, OpenAI, and Groq are used depending on feature and availability. The goal is reliable downstream processing of LLM results via validated, typed data structures (Pydantic structured output) for the demo endpoints.

Result

CV assistant, vision analysis, sentiment analysis, and agent chat live at sinanucar.com — with resilient operation even during provider outages.