AI Math Tutor
Step-by-step math help in a Streamlit app, with structured outputs and optional tracing
AI Math Tutor is a Streamlit app that walks through math problems with explanations, using LangChain against an OpenAI model and Pydantic for structured, typed responses. LangSmith tracing is optional; the README notes the core tutor still runs if you skip it. Sample prompts help you try the flow quickly.
When it is useful
You want a sandbox for model-assisted study, you are demoing LangChain + structured outputs, or you need a reference layout for observability hooks. It is not a replacement for a human teacher, official coursework policy, or exam rules.
What you can do
- Submit problems and read step-style breakdowns in the UI shown in the project media.
- Use bundled examples to learn the flow before typing your own prompts.
- Enable LangSmith when you want traces for debugging or tuning (keys and setup are in the repository).
Limits
- Models can err on arithmetic or reasoning; verify critical steps, especially for assessments or safety-related math.
- Cost and data handling follow your OpenAI account and what you choose to log; review terms before pasting private or proprietary material.
- Depth and curriculum alignment depend on prompting and model behavior, not on this portfolio page.
