# AI frameworks Projects at AI Tinkerers

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> Markdown URL: https://aitinkerers.org/technologies/ai-frameworks.md
> Technology record last updated: 2026-04-21T19:38:46Z
> Generated: 2026-09-22T01:44:31Z

AI frameworks are structured, open-source libraries (e.g., TensorFlow, PyTorch) providing the essential tools to efficiently build, train, and deploy machine learning models.

AI frameworks are foundational software stacks: collections of pre-configured libraries and functions that drastically simplify complex algorithm development. These frameworks standardize the AI workflow, allowing developers to focus on model logic rather than low-level infrastructure. Key examples include Google’s TensorFlow (known for production scalability and Keras integration) and Meta AI’s PyTorch (favored by researchers for its dynamic computation graph). They provide core capabilities: data preprocessing, GPU acceleration, model optimization, and deployment across various platforms (mobile, edge, cloud). Using a framework like Scikit-learn, for instance, cuts development time by leveraging established, vetted algorithms.

- Official technology site: https://www.tensorflow.org/
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Survaize: using vision models to generate apps from survey forms](https://dc.aitinkerers.org/talks/rsvp_kO8RY4RziiM)

Building apps for electronic data collection of surveys and censuses usually involves a manual process. Subject matter experts create the survey forms on paper (or in word processor) and then someone has to copy each question into a survey authoring tool. This process can take days or weeks and is error prone. Survaize is a proof of concept of using LLM vision models to read a PDF of a survey form and extract the questions, responses and other details and automatically generate an application for electronic data collection that can be run on a mobile device.

- Event context: AI Tinkerers - DC Metro Meetup (July 10th 2025) — 2025-07-10 — DC
- Public talk page: https://dc.aitinkerers.org/talks/rsvp_kO8RY4RziiM

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