AI Demo Night - Build Healthcare AI Apps
Details
## AI Demo Night - Healthcare: Detect Fear-Mongering & Build Business RAG Apps
Registration only accepted through LUMA link - https://luma.com/kh8za3i4
Join us for an interactive session where we explore two exciting real-world applications of AI — from understanding media sentiment to building enterprise-ready RAG (Retrieval-Augmented Generation) apps.
Part 1 — Detecting Fear-Mongering in Media
Ever wondered how fear, exaggeration, or bias spreads through online content?
In this live demo, we’ll use Hugging Face models By Falcons.AI to analyze text, YouTube transcripts, and news articles — identifying fear-based language patterns and emotional triggers.
Learn how NLP pipelines can help measure narrative tone, track media bias, and provide actionable insights for journalists, researchers, and marketers.
You’ll see:
- Live Code deployment - https://github.com/torontoai-hub/fear-monger-detector
- https://huggingface.co/Falconsai/fear_mongering_detection
- How to extract and preprocess text from YouTube or media articles
- How to apply pretrained Hugging Face models for sentiment and emotion classification
- Visualizing “fear-mongering scores” using simple dashboards
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Part 2 — Deploying Healthcare RAG AI Application to Solve Business Problems
Next, we’ll walk through how to deploy a Retrieval-Augmented Generation (RAG) by Moorcheh.AI based AI assistant that can understand your internal data and answer questions with context — ideal for knowledge management, customer support, or analytics use-cases.
What we’ll cover:
- Building a RAG pipeline with vector databases, open-source LLMs, and your documents
- Deploying the application locally or on Cloud
- Showcasing real business scenarios (e.g., Solving Problem for Nutritionist or Doctor )
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👥 Who Should Attend
Developers, data scientists, entrepreneurs, and anyone curious about how to apply AI beyond chatbots — to make sense of content and drive value from organizational knowledge.
🗓️ Event Format
- Duration: 90 minutes
- Format: Live demos + Q&A
- Prerequisites: Basic Python knowledge (optional