# TensorFlow Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/tensorflow
> Markdown URL: https://aitinkerers.org/technologies/tensorflow.md
> Technology record last updated: 2026-02-24T11:05:04Z
> Generated: 2026-09-20T16:35:44Z

Google's open-source, end-to-end platform for building, training, and deploying machine learning models across all environments.

TensorFlow is the open-source, end-to-end machine learning platform developed by the Google Brain team . It provides a comprehensive ecosystem of tools for model development: Keras simplifies high-level neural network construction, and TensorBoard offers visualization and debugging . The framework is engineered for scalability, supporting distributed training on powerful hardware like Google's custom Tensor Processing Units (TPUs) . Crucially, its ecosystem—including TensorFlow Lite for mobile/edge devices and TensorFlow.js for web browsers—ensures deployment flexibility, allowing models to run on servers, microcontrollers, or directly in a browser .

- Official technology site: https://www.tensorflow.org/
- Public AI Tinkerers demos and talks: 90
- Result page: 1 of 4

## Recent Public Talks and Demos

### [Replacing Analysts in commodity trading](https://zurich.aitinkerers.org/talks/rsvp_i8MtV8raWAE)

Informatiom system built to deliver what traders want in LNG / Gas speculative decisions. - Visualize Fundamentals - Machine Learning models - Automate processes (anomalies alerts, analyze competitors, check auctions) - Data architecture automation - News embeddings and semantic analyzes (check what moves the market) - Monitoring users for automated feedback

- Event context: AI Tinkerers Zurich April 9th — 2026-04-09 — Zürich
- Public talk page: https://zurich.aitinkerers.org/talks/rsvp_i8MtV8raWAE

### [CyberRunner: How We Open-Sourced the AI That Beat Humans](https://zurich.aitinkerers.org/talks/rsvp_95B2B3fk6Sc)

CyberRunner is the first AI-driven robotic system to learn and master the physical "Labyrinth" marble game through reinforcement learning, achieving times that surpass the world record set by humans. This talk explores the transition from a laboratory experiment to a fully open-sourced hardware and software stack designed to democratize high-speed, high-precision robotic control.

- Event context: AI Tinkerers Zurich April 9th — 2026-04-09 — Zürich
- Public talk page: https://zurich.aitinkerers.org/talks/rsvp_95B2B3fk6Sc

### [YOLO on Microcontroller](https://cologne.aitinkerers.org/talks/rsvp_hDiOsYlmI5o)

This project focuses on using the ESP-EYE and a computer vision algorithm (YOLOv5) running TensorFlow Lite Micro to detect different types of screws: "Big," "Medium," and "Black." The detection is on device, no wireless connection required.

- Event context: AI Tinkerers Cologne 3: Demos, Code, and Architecture — 2026-03-05 — Cologne
- Public talk page: https://cologne.aitinkerers.org/talks/rsvp_hDiOsYlmI5o

### [AI Predictions for 2026 from AI Tinkerers](https://montreal.aitinkerers.org/talks/rsvp_iBOlQ50Yzlk)

AI Predictions for 2026 from AI Tinkerers Community

- Event context: AI Tinkerers Montreal - January 2026 Meetup at Ateko — 2026-01-21 — Montreal
- Public talk page: https://montreal.aitinkerers.org/talks/rsvp_iBOlQ50Yzlk

### [Building an AI-Powered Learning Navigator: The Blueprint for Hyper-Personalized Education](https://ee.dream.page/talks/rsvp_PWHkDcFRZ8M)

AceRocket is an AI-powered learning navigator designed to help high school students master math with clarity, confidence, and consistency. Unlike traditional test prep which relies on static worksheets, long videos, or expensive tutoring — AceRocket provides a dynamic, personalized practice system driven by AI and real performance data. In my presentation, I will introduce: * What problem AceRocket solves: students feel lost, parents lack visibility, and traditional prep tools do not adapt to individual gaps. * How our Triple-A Learning Cycle (Active, Adaptive, AI-powered) guides students through daily personalized practice that adjusts in real time. * Early traction from local Eastside students, parents, and educators. * Our business model and our plan to scale from math exams into broader AI-driven learning guidance and workforce training. The talk will give the audience a clear understanding of AceRocket’s value, technology, and our roadmap toward becoming the "AI learning GPS" for millions of learners.

- Event context: Eastside Entrepreneurs Meetup: New Location in Woodinville! — 2025-12-05 — Eastside Entrepreneurs
- Public talk page: https://ee.dream.page/talks/rsvp_PWHkDcFRZ8M

### [Predicting the Future of Finantial Markets with Machine Learning and Deep Learning](https://bogota.aitinkerers.org/talks/rsvp__7RmrTO-ahY)

In this presentation, I will dissect the methodology and implementation behind the models used in my two recent papers: • https://doi.org/10.48550/arXiv.2410.21291 • https://doi.org/10.1016/j.dajour.2025.100633 I will walk through the key challenges encountered—ranging from large-scale data acquisition and preprocessing to designing a robust windowed forecasting architecture for forward predictions. Finally, I will present the empirical results and discuss the broader implications of using AI models, such as LSTMs, to generate predictions of the future with a degree of certainty, and how it would impact the future of humanity.

- Event context: AI Tinkerers Bogotá - Nov 2025 — 2025-11-27 — Bogotá
- Public talk page: https://bogota.aitinkerers.org/talks/rsvp__7RmrTO-ahY

### [Computer Vision](https://bogota.aitinkerers.org/talks/rsvp_JgUAbfmsmqM)

Este programa implementa un sistema de detección de objetos en tiempo real utilizando un modelo preentrenado de TensorFlow (SSD MobileNet v2) y la librería OpenCV para la visualización.

- Event context: AI Tinkerers Bogotá Septiembre 2025 — 2025-09-25 — Bogotá
- Public talk page: https://bogota.aitinkerers.org/talks/rsvp_JgUAbfmsmqM

### [Instant AI: Train an Image Classifier in Your Browser (No PhD Required!)](https://amsterdam.aitinkerers.org/talks/rsvp_weAS-wPOMfA)

Ever wished you could teach your computer to tell the difference between your cat and your lunch (who hasn't?) - without a supercomputer and a PhD? I'll show you how to build a custom image classifier right in your browser using TensorFlow.js. We’ll use the magic of transfer learning (and a little help from MobileNet) to create a surprisingly smart model with just a handful of your own photos. No servers, no installs, no tears - just you and your browser.

- Event context: AI Tinkerers x AdvancedJS Amsterdam — 2025-06-25 — Amsterdam
- Public talk page: https://amsterdam.aitinkerers.org/talks/rsvp_weAS-wPOMfA

### [SpectroCVT-Net: Diagnóstico de Alzheimer con IA](https://manizales.aitinkerers.org/talks/rsvp_RYM62co_wN0)

Presentaré SpectroCVT-Net, una nueva arquitectura de aprendizaje profundo que desarrollamos para clasificar la enfermedad de Alzheimer (EA) y otras demencias utilizando espectrogramas de EEG. Haré una demostración del código del modelo y explicaré cómo combina capas convolucionales para la extracción de características locales con un Vision Transformer para el análisis del contexto global. La demostración cubrirá la arquitectura, el proceso de entrenamiento y mostrará cómo utilizamos Grad-CAM para la interpretabilidad, resaltando qué partes del espectrograma el modelo se enfoca para hacer predicciones.

- Event context: Tercer Encuentro de AI Tinkerers Manizales — 2025-04-30 — Manizales
- Public talk page: https://manizales.aitinkerers.org/talks/rsvp_RYM62co_wN0

### [Deep reinforcement learning with tensorflow agents](https://vancouver.aitinkerers.org/talks/rsvp_JUg6uhdEByw)

Demonstrating shortest path optimization in a maze using reinforcemnet learning. Using OpenAI Gym to create a tailored environment for this reinforcemnet learning problem. And applying TensorFlow agents (cutting-edge reinforcement learning algorithms) to this tailored environment.

- Event context: Solution‑Driven ML: Tailoring Your AI Tech Stack for Maximum Impact - AI Tinkerers Vancouver — 2025-04-17 — Vancouver
- Public talk page: https://vancouver.aitinkerers.org/talks/rsvp_JUg6uhdEByw

### [Sistema de soporte y asesoría a clientes vía red de agentes de IA generativa](https://santiago.aitinkerers.org/talks/rsvp_kaRov7j_5J4)

con más de 150 mil clientes, busca entregar el mejor servicio de inversiones para cualquier persona, independiente de sus ingresos. Para poder hacer esto de manera escalable, hemos implementado una red de múltiples agentes especialistas con acceso al know-how e información de una empresa Fintech

- Event context: AI Tinkerers - Santiago — 2025-02-27 — Santiago
- Public talk page: https://santiago.aitinkerers.org/talks/rsvp_kaRov7j_5J4

### [La Innovación es un mango bajito. Por fin!](https://manizales.aitinkerers.org/talks/rsvp_gMmn24kur9M)

La IA ha hecho posible que la investigación científica, tecnológica y de mercado acerque a los emprendedores y empresas a innovar de manera efectiva, rápida y barata. El camino probado para el desarrollo sostenible y liberarnos de la trampa de ser una economía en desarrollo

- Event context: Primera reunion AITinkerers Manizales — 2025-02-26 — Manizales
- Public talk page: https://manizales.aitinkerers.org/talks/rsvp_gMmn24kur9M

### [Objetos de aprendizaje conducidos por IA](https://medellin.aitinkerers.org/talks/rsvp_8wTJzmdM4rs)

Como desarrollar objetos virtuales de aprendizaje, interactivos, y lo mejor, creador por IA.

- Event context: AI Tinkerers Medellín #10 - 26 de Febrero 2025 — 2025-02-26 — Medellín
- Public talk page: https://medellin.aitinkerers.org/talks/rsvp_8wTJzmdM4rs

### [Wildfire prediction through Mobile Device Pings](https://toronto.aitinkerers.org/talks/rsvp_rB4CJR7UnJI)

Wildfires are a growing threat, with devastating consequences for communities and ecosystems. Inspired by recent events in LA, I'm working on a system that uses ConvLSTM (Convolutional Long Short-Term Memory) to predict wildfire spread based on crowd-sourced mobile device location data. The demo will showcase a live walkthrough of the model in action. I’ll start by showing how location pings and time-series data from nearby users are preprocessed into spatial-temporal inputs. Then, I'll dive into the ConvLSTM code, explaining how it processes this data to generate wildfire likelihood heatmaps over time. To bring the predictions to life, I’ll visualize the output heatmaps as dynamic animations, representing how a wildfire might spread in real-time. I’ll also briefly highlight how external factors like wind direction, temperature, and vegetation type can be incorporated using public APIs and how they influence predictions. This isn't a polished product, but a tinkerer's attempt to explore how accessible data and open-source AI tools can solve real-world problems!

- Event context: AI Tinkerers Toronto - January 2025 Meetup at Google **sold out** — 2025-01-30 — Toronto
- Public talk page: https://toronto.aitinkerers.org/talks/rsvp_rB4CJR7UnJI

### [Building Magic the gathering decks using AI](https://medellin.aitinkerers.org/talks/rsvp_OmejSCJ_mo4)

Back to basics, no LLM based solutions. A small project where I gather data from public sources to build custom decks. Understanding the logic behind basic tf/idf and usual magic deck building we can create customs decks and iterate easily. The idea is simple: Calculate a “synergy” score between all pairs of cards and then optimize to create the deck with the most synergy

- Event context: AI Tinkerers Medellín #9 - 29 de Enero 2025 — 2025-01-29 — Medellín
- Public talk page: https://medellin.aitinkerers.org/talks/rsvp_OmejSCJ_mo4

### [Bootstrapping products that create order from chaos with AI](https://portland.aitinkerers.org/talks/rsvp_bzKW_dQ4M0w)

I present a novel embeddings-based visualization technique to reveal the structure in your unstructured data, and tell the story of how I arrived at it by bootstrapping two AI products. Along the way I tell the story of our community driven development and how it's shaped our work.

- Event context: Portland Women AI Entrepreneurs and Free AI MVP Class / Workshop — 2025-01-29 — Portland
- Public talk page: https://portland.aitinkerers.org/talks/rsvp_bzKW_dQ4M0w

### [SkellyBot - A heirarchically prompted, Discord-based AI teaching assistant for higher education](https://boston.aitinkerers.org/talks/rsvp_abJ6Qw1dbjc)

For the past 5 semesters (since Summer '23), I have been developing Skellybot to assist me in teaching high level university courses (specifically on the topic of my domain of research - the perceptuomotor neuroscience of human movement) The bot itself is relatively basic (AI-wise), but represents an incredibly powerful teaching tool, which has massively elevated my ability to teach high level complex explorations of deep-science topics to University undergrads in both online and in-person contexts. Skellybot utilizes a novel Hierarchical Prompting approach where the prompt schema mirrors the structure of a Discord server, which is organized according to the topics of the course. Over the past 2.5 years, I have jointly honed and iterated on the technical infrastructure of this bot alongside the development of new teaching strategies organized around the nascent, transformative of AI-mediated natural language processing to provide students with an unprecedented level of individualized instruction with large-scale student-data analysis pipelines.

- Event context: AI Tinkerers Boston Meetup January 2025 — 2025-01-27 — Boston
- Public talk page: https://boston.aitinkerers.org/talks/rsvp_abJ6Qw1dbjc

### [Focus Lab](https://seattle.aitinkerers.org/talks/rsvp_02sVU5p1A9k)

Using LLM as a content filter, help user control there screen time, improve internet addiction, and regain control. I've built a chrome extension for youtube and working on different ways to implement it on mobile phones.

- Event context: AI Tinkerers Seattle - January 2025 Meetup — 2025-01-23 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_02sVU5p1A9k

### [Automated Social Media Marketing with A.I.](https://miami.aitinkerers.org/talks/rsvp_CEN8S_cKtZg)

I've been diving deeper into automating my Social Media efforts and would like share my latest tooling. Currently focused on automating LinkedIn, X.com, and YouTube.

- Event context: AI Tinkerers - Miami Inaugural Meetup (January) — 2025-01-22 — Miami
- Public talk page: https://miami.aitinkerers.org/talks/rsvp_CEN8S_cKtZg

### [Demo of Jellypod.AI - AI driven podcast creator](https://dc.aitinkerers.org/talks/rsvp_u8DeCMwnQBY)

Jellypod is a podcast-creation studio that helps you create, edit, and publish AI podcasts. The content is entirely AI generated, with the flexibility to customize the hosts, script, and more. Check it out at Jellypod.AI - we leverage this at our company to create podcast content, because folks are too busy to get into the studio to record...not a pitch, just a fan/user of the system.

- Event context: AI Tinkerers - DC Metro Meetup (January 15th 2025) — 2025-01-15 — DC
- Public talk page: https://dc.aitinkerers.org/talks/rsvp_u8DeCMwnQBY

### [Finding Patent Prior Art with AI](https://chicago.aitinkerers.org/talks/rsvp_vHz4JF0Wu5U)

Patents form the cornerstone of innovation protection, with the USPTO processing over 600,000 applications annually representing billions in economic value. To get a patent, an invention must be genuinely novel—but proving novelty is a complex, time-consuming process that costs companies tens of thousands of dollars per application. Patent examiners and professionals spend countless hours searching for "prior art" that might show an invention already exists. In this talk, I will demonstrate an AI-powered system that not only identifies relevant prior art but provides detailed mapping between patent claims and existing disclosures, enabling patent examiners to quickly evaluate patentability and transform the examination process.

- Event context: AI Tinkerers Chicago January Meetup — 2025-01-14 — Chicago
- Public talk page: https://chicago.aitinkerers.org/talks/rsvp_vHz4JF0Wu5U

### [Cognitive Architectures -- A principled way to build agents](https://singapore.aitinkerers.org/talks/rsvp_9GgmNHjgPsk)

In the quest to build artificial intelligence, could understanding natural intelligence help? Cognitive architectures is the field of understanding and implementing the various building blocks of intelligence in cognitive science, offering a principled way to build agents. In this demo, I'll show some basic blocks that I've built and assembled into a coding agent.

- Event context: AI Tinkerers Singapore: 4th Meetup - January 10th, 2025 — 2025-01-10 — Singapore
- Public talk page: https://singapore.aitinkerers.org/talks/rsvp_9GgmNHjgPsk

### [print("Welcome to AI Tinkerers Hong Kong!")](https://hong-kong.aitinkerers.org/talks/rsvp_ayqgPCAK2ac)

In this session, the Lead Organizer and Founder of AI Tinkerers Hong Kong will share insights from his experience attending an AI Tinkerers meetup in Toronto and share his motivation for bringing this initiative to Hong Kong. He will discuss the details of the initiative and outline how each meetup is hosted. This sharing would be done with an example python script, and we will use Google AI studio to view the presentation slides to explain the outline using Gemini 2 preview.

- Event context: AI Tinkerers - Hong Kong Meetup (December) - Inauguration — 2024-12-19 — Hong Kong
- Public talk page: https://hong-kong.aitinkerers.org/talks/rsvp_ayqgPCAK2ac

### [Travel agency companion - a WIP](https://montreal.aitinkerers.org/talks/rsvp_xVI91aR3PHw)

My project is a travel agency companion chatbot designed to assist solo travelers in finding inspiration and planning their itineraries. Utilizing Google Cloud Platform (GCP) and Large Language Models (LLMs), this AI-driven tool engages users in natural conversations to provide personalized travel recommendations based on their preferences, budget, and interests. The chatbot suggests destinations and creates detailed itineraries. This project is a practical application of deploying AI technologies and allowed me to learn about GCP infrastructure and the intricacies of LLMs for information extraction. While the primary focus is on travel, the underlying framework is adaptable to other domains. For instance, the technology can be employed in medical document analysis or legal document processing, showcasing its versatility in extracting and summarizing relevant information across various fields.

- Event context: AI Tinkerers Montreal - December 2024 Meetup at IVADO Labs — 2024-12-03 — Montreal
- Public talk page: https://montreal.aitinkerers.org/talks/rsvp_xVI91aR3PHw

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## More Results

- Next: https://aitinkerers.org/technologies/tensorflow.md?page=2