# Machine Learning Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/machine-learning
> Markdown URL: https://aitinkerers.org/technologies/machine-learning.md
> Technology record last updated: 2026-02-25T05:32:05Z
> Generated: 2026-09-21T12:40:40Z

Compute dense vector representations for sentences and paragraphs using a Python framework that optimizes transformer models for semantic similarity.

Sentence Transformers (SBERT) maps variable-length text into fixed-size, high-dimensional vectors to enable high-speed semantic analysis. The framework fine-tunes architectures like BERT using Siamese and Triplet network structures: this ensures semantically similar inputs cluster together in vector space. This methodology powers critical NLP tasks: semantic search, clustering, and paraphrase detection. Standard models (like all-MiniLM-L6-v2) provide a 384-dimensional baseline for real-time applications, while larger variants (such as all-mpnet-base-v2) offer superior accuracy for complex information retrieval.

- Official technology site: https://www.sbert.net/
- Public AI Tinkerers demos and talks: 20
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Building Emotional Intelligence for AI](https://cairo.aitinkerers.org/talks/rsvp_EHAXdxhFkPo)

we have built the first emotional intelligence engine for AI, to help AI, understand and interact with humans, we have trained ai with emotional intelligence to preform better interacting with humans, this is not just for AI, it's built for wellness, robotics, gaming, IOT

- Event context: AI Tinkerers Cairo: Inaugural Meetup — 2026-07-01 — Cairo
- Public talk page: https://cairo.aitinkerers.org/talks/rsvp_EHAXdxhFkPo

### [Teaching an LLM to Play Riftbound](https://ottawa.aitinkerers.org/talks/rsvp_CPcwK2QKRgg)

Samuel demonstrates a framework he built to teach AI agents to play Riftbound, the League of Legends-based trading card game. The system translates English card text and the current board state into legal actions, uses Gemma to choose moves in player-versus-bot or bot-versus-bot simulations, and is designed to generate training experience so a faster machine-learning policy can eventually select optimal plays without relying on slower LLM inference at the final decision stage.

- Event context: AI Tinkerers Ottawa Meetup - June 20th, 2026 — 2026-06-20 — Ottawa
- Public talk page: https://ottawa.aitinkerers.org/talks/rsvp_CPcwK2QKRgg

### [The first cantonese lyrics ai in HK https://cantolyricsai.com/](https://hong-kong.aitinkerers.org/talks/rsvp_HILPJuLq-Q8)

I am working on an independent AI project that automates Cantonese songwriting through a custom machine learning workflow.

- Event context: AI Tinkerers Hong Kong GBA at the Hive: Creative AI Demos &amp; Technical Show-and-Tell — 2026-03-26 — Hong Kong
- Public talk page: https://hong-kong.aitinkerers.org/talks/rsvp_HILPJuLq-Q8

### [High Frequency Trading - Statistical Arbitrage](https://hong-kong.aitinkerers.org/talks/rsvp_5F2PwIjazW4)

How to do some statistical model optimization on past order book data for trading. What is a good metric for optimizing a model of indicators and why. How to convert to reward of such model into high frequency trades. I will share one order book imbalance indicator. I will present a python bot that is connected in live to a public binance API, computing the imbalance indicator and outputting some *simulated* orders. I will also illustrate the metric to optimize the model

- Event context: AI Tinkerers Hong Kong &amp; GBA: Applied AI in Finance Demos — 2026-01-20 — Hong Kong
- Public talk page: https://hong-kong.aitinkerers.org/talks/rsvp_5F2PwIjazW4

### [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

### [Differentiable Physics with Keep It Cool](https://chicago.aitinkerers.org/talks/rsvp_Vh_870bwof4)

Physics-based simulation is used to provide insight into many practical problems. At Keep it Cool, we use conservation of energy to model heat flow across the delivery cycle of temperature-sensitive packaging. However, uncertainties add considerable fog to the computational modeling process. Questions like "How exactly is this box packed?" or "Is this insulation really performing as well as advertised?" can cause issues. Luckily, a wealth of sensor data has been collected during transit of these temperature-sensitive packages, allowing us to connect the computational physics to real-world data. We can then use machine learning techniques to tune the physics model to match the sensor, and thus the real-world, behavior.

- Event context: AI Tinkerers Chicago February Meetup — 2025-02-18 — Chicago
- Public talk page: https://chicago.aitinkerers.org/talks/rsvp_Vh_870bwof4

### [print(&amp;amp;quot;Welcome to AI Tinkerers Hong Kong!&amp;amp;quot;)](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

### [Prototyping with ML-powered Livestreaming Apps](https://montreal.aitinkerers.org/talks/rsvp_ShPGnVujPmA)

At Kanastruk, we prototype real-time video and audio processing applications that integrate machine learning and computer vision agents. This presentation will show how you too can incorporate LiveKit’s open-source APIs to quickly develop functional video streaming apps, making it easier to explore and iterate on new ideas in areas like video conferencing and live-streaming.

- Event context: AI Tinkerers - Montreal Inaugural Meetup (October) — 2024-10-29 — Montreal
- Public talk page: https://montreal.aitinkerers.org/talks/rsvp_ShPGnVujPmA

### [Processing lidar into datasets used in machine learning](https://fort-wayne.aitinkerers.org/talks/rsvp_UVcx_eG1pnw)

Lidar is a pulsed laser scan of the surface of the Earth. Billions of points contain accurate X,Y and Z coordinates. This dense dataset can be used to build digital elevation models, hill shaded images, slope angles and flow accumulation models. This talk will describe and show how the lidar point cloud is downloaded, processed and interpreted into a digital format that can be used in machine learning algorithms. The ultimate goal will be to combine the results of many machine learning models in LLM's to predict the nature and fabric of the sub surface.

- Event context: AI Tinkerers Fort Wayne October 15th 2024 Meetup — 2024-10-15 — Fort Wayne
- Public talk page: https://fort-wayne.aitinkerers.org/talks/rsvp_UVcx_eG1pnw

### [Bolsa de Valores + AI : Experimentos personales para detectar buenos momentos de inversión y especulación](https://bogota.aitinkerers.org/talks/rsvp_dPdiMnRtYxU)

Presentación de diferentes experimentos en los cuales mezclo mi experiencia de 20 años como inversor y especulador real en la bolsa de valores de Colombia, NASDAQ y NYSE con diferentes técnicas de inteligencia artificial con k-means, redes neuronales, forecast e inclusive LLM.

- Event context: AI Tinkerers Bogotá No. 5 — 2024-09-26 — Bogotá
- Public talk page: https://bogota.aitinkerers.org/talks/rsvp_dPdiMnRtYxU

### [FreshPick AI](https://chicago.aitinkerers.org/talks/rsvp_2Qa11fMRSoU)

FreshPick AI is a cutting-edge WhatsApp web bot that uses AI to help you pick the best fruits and vegetables right at the store. Simply snap a photo of your produce, send it to FreshPick AI via WhatsApp, and receive instant feedback on the quality and ripeness of your selections. No more guesswork, no more spoiled produce—just fresh, delicious ingredients for you and your family.

- Event context: AI Tinkerers Chicago September Meetup — 2024-09-17 — Chicago
- Public talk page: https://chicago.aitinkerers.org/talks/rsvp_2Qa11fMRSoU

### [Leveraging AI for Structural Safety in Mining Operations](https://bogota.aitinkerers.org/talks/rsvp_xwxTWYagvts)

The project "Anomalies Detection in Tunnels" focuses on detecting deformations and anomalies in mining tunnels to prevent structural collapses. It employs anomaly detection models applied to point clouds to analyze three-dimensional data captured during mining operations. The primary goal is to identify and assess deformations or irregularities in tunnel structures that could jeopardize the safety and stability of excavation operations. By utilizing advanced data analysis techniques and machine learning models, the project aims to provide accurate tools for monitoring and early intervention, thus preventing potential collapses and ensuring the integrity of mining operations.

- Event context: AI Tinkerers Bogotá No. 4 — 2024-08-29 — Bogotá
- Public talk page: https://bogota.aitinkerers.org/talks/rsvp_xwxTWYagvts

### [MoodWeb - Connect with Others based on Emotions](https://sf.aitinkerers.org/talks/rsvp_ZuvgfAmwti4)

MoodWeb's slogan is 'see who likes you'. Originally an app against loneliness, MoodWeb now pivoted into the online dating industry. Log in and let the app pick up on how you are currently feeling - based on the way you hold your phone while typing (the exciting ML part). Get a corresponding colour (or gradient) bubble assigned to you. Filter based on radius (or location aka San Francisco or Berlin) who else is currently online and what they are currently feeling and send them anonymous chat requests for 15 minutes. Or join group chats with prompts and answer in realtime with strangers who are currently going through the same emotion as you are. Add your friends and family to see how they felt the last time they logged in and reach out to them - text messages get colour bubbles that indicate how you were feeling when you typed your message - based on the way you hold your phone while typing, not on the contents of your message.

- Event context: AI Tinkerers - San Francisco - August 2024 Meetup — 2024-08-22 — San Francisco
- Public talk page: https://sf.aitinkerers.org/talks/rsvp_ZuvgfAmwti4

### [Solving AGI - ARC with Neural Nets that learn algebra](https://chicago.aitinkerers.org/talks/rsvp_C9wKKddDFas)

Arc agi challenge is unsolved for years now. But humans can do it easy. Is the secret to come up with a machine learning powered custom algebra system?

- Event context: AI Tinkerers Chicago August Meetup — 2024-08-20 — Chicago
- Public talk page: https://chicago.aitinkerers.org/talks/rsvp_C9wKKddDFas

### [Clinical Events Prediction engine to accelerate pharma trials](https://nyc.aitinkerers.org/talks/rsvp_drBRHOh35QY)

KolateAI provides patient-level Clinical Events Prediction to accelerate pharma trials and real-world studies. With our foundation models trained on clinical studies delivered through our Co-pilot, we predict major clinical events (drug response, adverse events, study end-points). This enables pharmas to target the best-performing patient segments and pro-actively manage study trajectory.

- Event context: AI Tinkerers July Meetup — 2024-07-24 — New York City
- Public talk page: https://nyc.aitinkerers.org/talks/rsvp_drBRHOh35QY

### [How and why we use AI for creating serialized apparel](https://portland.aitinkerers.org/talks/rsvp_UfkXRFqKpd8)

Spot Vision uses machine learning to encode a digital record into graphic designs by introducing slight variations to the designs. These variations allows us to serialize the millions of items so that each is slightly different but still fitting a shared design intent. Designs can be read or authenticated by visually scanning. We will be demonstrating examples of serialized apparel covering a broad artistic range and talk about how AI drives optimization of encoding schemes and robust decoding from curved, obscured, and wrinkled surfaces.

- Event context: AI Tinkerers Portland Inaugural Meetup - July — 2024-07-24 — Portland
- Public talk page: https://portland.aitinkerers.org/talks/rsvp_UfkXRFqKpd8

### [Automating building, deployment and maintenance of AI with AI agents](https://london.aitinkerers.org/talks/rsvp_pfh4cKzrGok)

Nowadays, everyone wants to integrate AI into their products or workflows, but building and maintaining AI models remains challenging, especially for non-experts. Weco uses AI agents to help developers implement AI features without dealing with low-level details like prompt engineering, model selection, output structuring, or writing machine learning code. Users submit task descriptions in natural language, and our system provides an API endpoint for the requested AI feature.

- Event context: AI Tinkerers London - July Meetup — 2024-07-09 — London
- Public talk page: https://london.aitinkerers.org/talks/rsvp_pfh4cKzrGok

### [Local LLM Social Media Filter](https://chicago.aitinkerers.org/talks/rsvp_ZKE5CrbzojE)

AI Filter is a Chrome extension that uses a local language model to filter your social media feeds (currently, only Twitter / X) according to your instructions. For instance, you can say: Hide all tweets, except for tweets about machine learning (ML), artificial intelligence (AI) and large language models (LLMs). or: By default, show all tweets Do not show any tweets related to cryptocurrencies, blockchain, Bitcoin, Ethereum or related projects. AI Filter will follow your instructions, hiding the appropriate tweets in the background as you browse Twitter.

- Event context: AI Tinkerers Chicago February Meetup — 2024-02-20 — Chicago
- Public talk page: https://chicago.aitinkerers.org/talks/rsvp_ZKE5CrbzojE

### [Build bulletproof generative AI applications](https://berlin.aitinkerers.org/talks/rsvp_53Heo9gT3RI)

Building AI applications for production is challenging, your users don't like to wait, and delivering the right results in milliseconds instead of seconds will win their hearts. We'll show you how to build caching, fact-checking, and RAG: Retrieval Augmented Generation pipelines with real-world examples, live demos, and ready-to-run GitHub projects.

- Event context: AI Tinkerers Berlin - November 24 — 2023-11-24 — Berlin
- Public talk page: https://berlin.aitinkerers.org/talks/rsvp_53Heo9gT3RI

### [LLMs That Read Tables](https://chicago.aitinkerers.org/talks/rsvp_jgZBkvyn29Q)

Have you ever tried reading or deciphering tables from a document using an LLM or other ML algorithm? It can be very challenging and prone to false answers. Not anymore! I've come up with a system that breaks down tables in an easy to understand format for other ML algorithms to do further processing.

- Event context: AI Tinkerers Chicago - Inaugural Meetup — 2023-10-04 — Chicago
- Public talk page: https://chicago.aitinkerers.org/talks/rsvp_jgZBkvyn29Q

## Related Technologies

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- [Keras](https://aitinkerers.org/technologies/keras) ([Markdown](https://aitinkerers.org/technologies/keras.md)) — 74 public demos
- [ONNX](https://aitinkerers.org/technologies/onnx) ([Markdown](https://aitinkerers.org/technologies/onnx.md)) — 83 public demos
- [PyTorch](https://aitinkerers.org/technologies/pytorch) ([Markdown](https://aitinkerers.org/technologies/pytorch.md)) — 273 public demos
- [scikit-learn](https://aitinkerers.org/technologies/scikit-learn) ([Markdown](https://aitinkerers.org/technologies/scikit-learn.md)) — 84 public demos
- [TensorFlow](https://aitinkerers.org/technologies/tensorflow) ([Markdown](https://aitinkerers.org/technologies/tensorflow.md)) — 90 public demos
- [LLM](https://aitinkerers.org/technologies/llm) ([Markdown](https://aitinkerers.org/technologies/llm.md)) — 123 public demos
- [AI](https://aitinkerers.org/technologies/ai) ([Markdown](https://aitinkerers.org/technologies/ai.md)) — 55 public demos
- [BLOOM](https://aitinkerers.org/technologies/bloom) ([Markdown](https://aitinkerers.org/technologies/bloom.md)) — 115 public demos
- [Llama-2](https://aitinkerers.org/technologies/llama-2) ([Markdown](https://aitinkerers.org/technologies/llama-2.md)) — 227 public demos
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- [Neural networks](https://aitinkerers.org/technologies/neural-networks) ([Markdown](https://aitinkerers.org/technologies/neural-networks.md)) — 7 public demos
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- [Python](https://aitinkerers.org/technologies/python) ([Markdown](https://aitinkerers.org/technologies/python.md)) — 662 public demos
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