# Image Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/image
> Markdown URL: https://aitinkerers.org/technologies/image.md
> Technology record last updated: 2026-02-25T05:30:14Z
> Generated: 2026-09-23T01:43:36Z

Automates data normalization by resizing images to 224x224 via Pillow and transcoding audio into uniform 16kHz mono formats.

This workflow automates the heavy lifting of data preparation for multimodal AI. We use Pillow to force images into a 224x224 pixel square (the standard for ResNet and VGG architectures) while maintaining aspect ratio through smart padding. On the audio side, we leverage FFmpeg to transcode diverse formats into 16kHz mono WAV files: this ensures consistent sample rates for downstream spectrogram generation. It is a no-nonsense approach to cleaning noise and unifying inputs before they hit the training loop.

- Official technology site: https://pillow.readthedocs.io/
- Public AI Tinkerers demos and talks: 4
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Multi-Pass Building Defect Detection: Getting a VLM to Find Facade Defects for Visual Inspections](https://dc.aitinkerers.org/talks/rsvp_3zzrUv1SHxo)

We built an AI system that turns raw building inspection photos into annotated defect reports, detecting 15 distinct pathologies (building cracks, sealant degradation, brick spalling, mortar erosion, steel corrosion, and so on) with accurate bounding boxes across facade inspections. I'll show the architecture of how we've setup the inspection image processing pipeline: the multi-pass detection architecture, the model training process, the defect annotation catalog, the eval harness we use to verify accuracy on new datasets &amp; catch regressions. And why this was our selected way to set it up. I'll walk through the examples of real reports going from photo dump to structured outputs (where the model gets it right and where it still needs a human check).

- Event context: AI Tinkerers DC Metro - Arlington: July 23rd Meetup — 2026-07-23 — DC
- Public talk page: https://dc.aitinkerers.org/talks/rsvp_3zzrUv1SHxo

### [Building NousyBooks - Orchestrating Low-Latency Multimodal Voice Agents with Gemini Live](https://atlanta.aitinkerers.org/talks/rsvp_La-nqq5lOEo)

I built NousyBooks, an AI-powered storytelling platform where children become the heroes of their own books. I built this project as part of Gemini Live Agent Hackathon Challenge. The core of the experience is "Nousy," a floating multimodal voice assistant that uses the Gemini Live API to brainstorm story themes, collect character details, and select art styles through natural, bidirectional conversation.

- Event context: AI Tinkerers Atlanta: Community Demos &amp; Technical Deep Dives — 2026-04-21 — Atlanta
- Public talk page: https://atlanta.aitinkerers.org/talks/rsvp_La-nqq5lOEo

### [Building an AI WhatsApp guide for the Valencia Fallas festival](https://valencia.aitinkerers.org/talks/rsvp_73Oz6MkCmvU)

I built an AI-powered WhatsApp assistant that acts as a digital guide for the Valencia Fallas festival. Visitors can ask about the main Fallas monuments and receive explanations about their meaning, satire, and artistic concept. For the most important Fallas, the assistant also delivers pre-recorded audio explanations in Spanish and Valencian, allowing visitors to experience them as if they were using an audio guide. The project demonstrates how conversational AI can turn a messaging app into an accessible cultural guide for large public events without requiring users to install a dedicated app.

- Event context: AI Tinkerers Valencia March Meetup — 2026-03-17 — Valencia
- Public talk page: https://valencia.aitinkerers.org/talks/rsvp_73Oz6MkCmvU

### [Extract anything - from any model](https://seattle.aitinkerers.org/talks/rsvp_7iT1m_WKor4)

I'd like to share a demo showing off how we can take any document (PDF, Image, Text, audio, Video), and pull out something meaningful from it. 0-shot, no prompting.

- Event context: AI Tinkerers Seattle - February 2025 Meetup — 2025-02-22 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_7iT1m_WKor4

## Related Technologies

- [Next](https://aitinkerers.org/technologies/next) ([Markdown](https://aitinkerers.org/technologies/next.md)) — 186 public demos
- [AWS](https://aitinkerers.org/technologies/aws) ([Markdown](https://aitinkerers.org/technologies/aws.md)) — 38 public demos
- [BAML](https://aitinkerers.org/technologies/baml) ([Markdown](https://aitinkerers.org/technologies/baml.md)) — 12 public demos
- [Claude Sonnet](https://aitinkerers.org/technologies/claude-sonnet) ([Markdown](https://aitinkerers.org/technologies/claude-sonnet.md)) — 20 public demos
- [Flash](https://aitinkerers.org/technologies/flash) ([Markdown](https://aitinkerers.org/technologies/flash.md)) — 14 public demos
- [Gemini-2](https://aitinkerers.org/technologies/gemini-2) ([Markdown](https://aitinkerers.org/technologies/gemini-2.md)) — 15 public demos
- [Gemini 3](https://aitinkerers.org/technologies/gemini-3) ([Markdown](https://aitinkerers.org/technologies/gemini-3.md)) — 8 public demos
- [Gemini Live API](https://aitinkerers.org/technologies/gemini-live-api) ([Markdown](https://aitinkerers.org/technologies/gemini-live-api.md)) — 2 public demos
- [Google Gemini Pro](https://aitinkerers.org/technologies/google-gemini-pro) ([Markdown](https://aitinkerers.org/technologies/google-gemini-pro.md)) — 1 public demo
- [Image Processing](https://aitinkerers.org/technologies/image-processing) ([Markdown](https://aitinkerers.org/technologies/image-processing.md)) — 3 public demos
- [Images](https://aitinkerers.org/technologies/images) ([Markdown](https://aitinkerers.org/technologies/images.md)) — 2 public demos
- [LLM](https://aitinkerers.org/technologies/llm) ([Markdown](https://aitinkerers.org/technologies/llm.md)) — 123 public demos
- [Multimodal Models](https://aitinkerers.org/technologies/multimodal-models) ([Markdown](https://aitinkerers.org/technologies/multimodal-models.md)) — 6 public demos
- [OpenAI](https://aitinkerers.org/technologies/openai) ([Markdown](https://aitinkerers.org/technologies/openai.md)) — 112 public demos
- [OpenAI API](https://aitinkerers.org/technologies/openai-api) ([Markdown](https://aitinkerers.org/technologies/openai-api.md)) — 520 public demos
- [PDF](https://aitinkerers.org/technologies/pdf) ([Markdown](https://aitinkerers.org/technologies/pdf.md)) — 10 public demos
- [Prompt Engineering](https://aitinkerers.org/technologies/prompt-engineering) ([Markdown](https://aitinkerers.org/technologies/prompt-engineering.md)) — 28 public demos
- [RAG](https://aitinkerers.org/technologies/rag) ([Markdown](https://aitinkerers.org/technologies/rag.md)) — 147 public demos
