# Apache Storm Projects at AI Tinkerers > Canonical HTML: https://aitinkerers.org/technologies/apache-storm > Markdown URL: https://aitinkerers.org/technologies/apache-storm.md > Technology record last updated: 2026-03-13T05:44:17Z > Generated: 2026-09-22T02:43:26Z Apache Storm is a distributed real-time computation system that processes unbounded streams of data with sub-second latency. Storm handles high-velocity data streams by orchestrating a network of spouts (data sources) and bolts (processing units) across a distributed cluster. It guarantees message processing (at-least-once or exactly-once semantics) and scales horizontally to manage millions of messages per second. Engineering teams at Twitter, Spotify, and Flipboard use it for real-time analytics, continuous computation, and ETL tasks. The system integrates with existing queueing and database technologies (like Apache Kafka and MongoDB) to provide a robust backbone for live data processing. - Official technology site: https://storm.apache.org/ - Public AI Tinkerers demos and talks: 2 - Result page: 1 of 1 ## Recent Public Talks and Demos ### [The War Room: a shared workspace for specialists to handle events](https://nyc.aitinkerers.org/talks/rsvp_nwotolIL-TQ) The same characteristics of a "War Room" that allow military industry companies to bring all-hands-on-deck and solve critical issues can be applied to pull together multiple LLM agents to work on a shared topic. It involves realtime events, processed by specialized agents, whose output is captured in a shared workspace. This offers a system for human-in-the-loop selection of actions proposed by specialized agents that are fully aware of the context. Demonstrated in the new contextFound prototype for personal information organization. - Event context: AI Tinkerers - New York City - December 2024 Meetup — 2024-12-12 — New York City - Public talk page: https://nyc.aitinkerers.org/talks/rsvp_nwotolIL-TQ ### [LLM's are more than a chatbot - nutritionGPT](https://chicago.aitinkerers.org/talks/rsvp_Zbx6QskyGK0) Using LLM's doesn't need to stop at the interface level of your computer! These modern marvels of computer power have an insurmountable amount of applications. This this demo I will be showcasing one that I was able to extract during my weekend tinkering hours. This demo showcases multiple LLM's communicating in real-time to solve and issue of "Classifying , Identifying , Searching , and Realigning on the data gathered" all relevant to nutrition! Using this power I was able to ingest an arbitrary image or string of a meal prep event and turn it back into a usable label to remind me to eat healthy! - Event context: Chicago AI Tinkerers 2024 Kickoff — 2024-01-23 — Chicago - Public talk page: https://chicago.aitinkerers.org/talks/rsvp_Zbx6QskyGK0 ## Related Technologies - [Apache Flink](https://aitinkerers.org/technologies/apache-flink) ([Markdown](https://aitinkerers.org/technologies/apache-flink.md)) — 4 public demos - [Apache Kafka](https://aitinkerers.org/technologies/apache-kafka) ([Markdown](https://aitinkerers.org/technologies/apache-kafka.md)) — 8 public demos - [Google Cloud Dataflow](https://aitinkerers.org/technologies/google-cloud-dataflow) ([Markdown](https://aitinkerers.org/technologies/google-cloud-dataflow.md)) — 2 public demos - [Amazon Kinesis](https://aitinkerers.org/technologies/amazon-kinesis) ([Markdown](https://aitinkerers.org/technologies/amazon-kinesis.md)) — 5 public demos - [Amazon Kinesis Data Streams](https://aitinkerers.org/technologies/amazon-kinesis-data-streams) ([Markdown](https://aitinkerers.org/technologies/amazon-kinesis-data-streams.md)) — 1 public demo - [Apache Beam](https://aitinkerers.org/technologies/apache-beam) ([Markdown](https://aitinkerers.org/technologies/apache-beam.md)) — 1 public demo - [Apache Spark Structured Streaming](https://aitinkerers.org/technologies/apache-spark-structured-streaming) ([Markdown](https://aitinkerers.org/technologies/apache-spark-structured-streaming.md)) — 1 public demo - [BERT](https://aitinkerers.org/technologies/bert) ([Markdown](https://aitinkerers.org/technologies/bert.md)) — 179 public demos - [BLOOM](https://aitinkerers.org/technologies/bloom) ([Markdown](https://aitinkerers.org/technologies/bloom.md)) — 115 public demos - [contextFound](https://aitinkerers.org/technologies/contextfound) ([Markdown](https://aitinkerers.org/technologies/contextfound.md)) — 2 public demos - [Data transformation](https://aitinkerers.org/technologies/data-transformation) ([Markdown](https://aitinkerers.org/technologies/data-transformation.md)) — 1 public demo - [GPT-3](https://aitinkerers.org/technologies/gpt-3) ([Markdown](https://aitinkerers.org/technologies/gpt-3.md)) — 191 public demos - [GPT-4](https://aitinkerers.org/technologies/gpt-4) ([Markdown](https://aitinkerers.org/technologies/gpt-4.md)) — 529 public demos - [Human-in-the-Loop](https://aitinkerers.org/technologies/human-in-the-loop) ([Markdown](https://aitinkerers.org/technologies/human-in-the-loop.md)) — 6 public demos - [Kafka Streams](https://aitinkerers.org/technologies/kafka-streams) ([Markdown](https://aitinkerers.org/technologies/kafka-streams.md)) — 1 public demo - [Llama-2](https://aitinkerers.org/technologies/llama-2) ([Markdown](https://aitinkerers.org/technologies/llama-2.md)) — 227 public demos - [Microsoft Azure Stream Analytics](https://aitinkerers.org/technologies/microsoft-azure-stream-analytics) ([Markdown](https://aitinkerers.org/technologies/microsoft-azure-stream-analytics.md)) — 1 public demo - [Multi-Agent System](https://aitinkerers.org/technologies/multi-agent-system) ([Markdown](https://aitinkerers.org/technologies/multi-agent-system.md)) — 2 public demos