# Amazon Lex Projects at AI Tinkerers

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> Technology record last updated: 2026-02-26T13:23:07Z
> Generated: 2026-09-23T07:36:08Z

Build conversational interfaces using the same deep learning tech (ASR and NLU) that powers Amazon Alexa.

Lex handles the heavy lifting of speech-to-text and intent recognition: developers use it to deploy chatbots across Slack, Facebook Messenger, and Amazon Connect. It utilizes Automatic Speech Recognition (ASR) for audio and Natural Language Understanding (NLU) for text. The V2 console streamlines bot building (streaming APIs, multi-language support) while AWS Lambda handles the backend logic. Whether it is automating a 1-800 customer service line or building a voice-activated app, Lex scales automatically without manual infrastructure management.

- Official technology site: https://aws.amazon.com/lex/
- Public AI Tinkerers demos and talks: 3
- Result page: 1 of 1

## Recent Public Talks and Demos

### [AI Tinkerers Spotlight : Building LightSpeed's Generative AI People and Culture Virtual Assistant](https://montreal.aitinkerers.org/talks/rsvp_KB-KXviw5D8)

&nbsp;We would like to show how we used Conversational Agent to write the different&nbsp;prompts, the configuration of the playbooks and the challenges that we faced. Let us know what details do you need&nbsp;from us and if that demo is suitable for the event.

- Event context: AI Tinkerers Montreal - May 2025 Meetup at LightSpeed — 2025-05-07 — Montreal
- Public talk page: https://montreal.aitinkerers.org/talks/rsvp_KB-KXviw5D8

### [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

### [RAG for Voice Assistants](https://hamburg.aitinkerers.org/talks/rsvp_bFvn83wouWk)

I'd like to talk about building a simple RAG pipeline for voice assistants to expand access to knowledge during real-time conversations and avoid the current character limits of voice builder platforms.

- Event context: AI Tinkerers Hamburg - September 12 — 2024-09-12 — Hamburg
- Public talk page: https://hamburg.aitinkerers.org/talks/rsvp_bFvn83wouWk

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