# text Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/text
> Markdown URL: https://aitinkerers.org/technologies/text.md
> Technology record last updated: 2026-02-24T00:24:00Z
> Generated: 2026-09-20T18:43:50Z

Text technology (NLP) processes and interprets human language data, enabling applications like sentiment analysis, machine translation, and advanced content classification.

We handle Natural Language Processing (NLP): the core technology for making computers understand text. This is a critical AI subfield, transforming raw text into actionable data through specific steps (tokenization, parsing, classification). Modern systems, leveraging large language models (LLMs) like GPT and BERT, now perform complex tasks: extracting key entities from thousands of legal documents, classifying customer feedback with 90%+ accuracy, and powering sophisticated conversational agents. We are building the engine that turns unstructured language into structured, high-value intelligence for any enterprise.

- Official technology site: https://www.nltk.org/
- Public AI Tinkerers demos and talks: 6
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Robot Picks Grapes Based on Spatial World Model](https://seattle.aitinkerers.org/talks/rsvp_hwjgpFnwm2M)

We built a new model that is based on the human brain. Right now it can navigate and reason to play Pac Man but we are working on connecting it to a robot and having it pick grapes.

- Event context: AI Tinkerers Seattle Summer Bash — 2026-07-29 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_hwjgpFnwm2M

### [Budget by Chatting: Building a multi-channel AI-powered expense tracker](https://upstate-ny.aitinkerers.org/talks/rsvp_tB4HZsZid7I)

SetForMoney is a household budgeting web app. Users text "groceries 45 Sams Club" to Telegram, WhatsApp, SMS, or a web chat and an LLM model parses the amount, matches the category, and detects intent from raw natural language. Three things worth looking at under the hood: 1. The prompt architecture that handles expenses, questions, commands, and gibberish from a single parsing call, with fuzzy category matching that recovers from typos. 2. Channel-aware response formatting: same AI brain, different output constraints (SMS under 300 chars vs. rich web formatting). 3. Silent feature request detection: the chat assistant answers users normally while flagging unmet feature requests behind the scenes, then a nightly job clusters them into a demand-ranked product roadmap. Live production demo.

- Event context: AI Tinkerers Upstate NY: March Meetup — 2026-03-10 — Upstate NY
- Public talk page: https://upstate-ny.aitinkerers.org/talks/rsvp_tB4HZsZid7I

### [Combining Word, Grok and Notebook LM to create creative and informative slide Decks](https://fort-wayne.aitinkerers.org/talks/rsvp_wF7ZXznDBSU)

Creating a slide Deck in Power Point has always taken a large amount of time. Using Word as the basis for a talk, Grok to add detail and refine the pitch, then use Notebook LM's slide deck creator, usable and entertaining presentations are quickly available for presentation. The example I created is Siting The Modern Data Center and its Dependancy on Natural Resources.

- Event context: AI Tinkerers Fort Wayne: February 2026 Meetup — 2026-02-21 — Fort Wayne
- Public talk page: https://fort-wayne.aitinkerers.org/talks/rsvp_wF7ZXznDBSU

### [Radiology Lab - Medical Imaging Segmentation Lab](https://raleigh.aitinkerers.org/talks/rsvp_M1DsMV5sU6A)

An early preview of a web application built to create segmentation and 3D modeling training data directly within research and clinical workflows in Medical Imaging, using SAM3 and Gaussian Splatting APIs. It supports multiple imaging modalities; including Cardiac MRI, Cardiac CT, CCTA, and Brain MRI. This training data can be quickly plugged in to fine-tune or build machine learning models, which can loop back into the web application. Creating an iterative cycle of improving machine learning models, segmentations and 3D models across all modalities in Medical Imaging.

- Event context: AI Tinkerers Raleigh Meetup — February 11, 2026 — 2026-02-11 — Raleigh
- Public talk page: https://raleigh.aitinkerers.org/talks/rsvp_M1DsMV5sU6A

### [Personalized Product Discovery with Agentic AI: Beyond Traditional Recommendation Engines](https://singapore.aitinkerers.org/talks/rsvp_TYi5dO1vY58)

E-commerce platforms have long used recommendation engines to boost sales. Yet, these systems often fall short when it comes to true personalization. This talk introduces how Agentic AI can revolutionize recommendations for mobiles, gadgets, accessories, and insurance plans—shifting from static algorithms to adaptive, goal-oriented agents. We’ll discuss how these agents combine customer intent, multi-modal data, and conversational interactions to deliver next-generation recommendations that drive engagement, increase trust, and create measurable business impact.

- Event context: AIT Singapore - AI Agents Showcase - 7th Oct 2025 — 2025-10-07 — Singapore
- Public talk page: https://singapore.aitinkerers.org/talks/rsvp_TYi5dO1vY58

### [AI Game Master](https://seattle.aitinkerers.org/talks/rsvp_qGMmUEDayLk)

Our AI driven interactive adventure game - AI Game Master - is available on iOS and Android, and players really love it! We're completely bootstrapped and crossed the 100,000 players by now!

- Event context: AI Tinkerers Seattle - January 2025 Meetup — 2025-01-23 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_qGMmUEDayLk

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