AI Demo Night - Detect Fear-Mongering & Build Specialist-Grade Healthcare AI Agent

Name: AI Demo Night - Detect Fear-Mongering & Build Specialist-Grade Healthcare AI Agent
Start: 2025-12-09T17:30:00.000-05:00
End: 2025-12-09T19:30:00.000-05:00
Location: Toronto, Ontario

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Toronto, Ontario

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About Event

AI Demo Night: Detect Fear-Mongering & Build Specialist-Grade Healthcare AI Agent

Join our Next Demo Night, where we tackle real world program with Technology and AI with hands on Live demo where Developers can learn, Startups can collaborate and business can benefit.

Agenda

5:30 – 6:00 PM · Registration, Networking with Light Snacks

6:00 – 6:30 PM · Detecting Fear-Monger in Media by leveraging Falcons.AI model from Huggingface

6:30 - 7:00 PM - Beyond Hallucinations: Building Specialist-Grade Healthcare AI Agent with Moorcheh.ai

7:00 - 7:30 PM: Networking

Demo 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

Demo 2 — Beyond Hallucinations: Building Specialist-Grade Healthcare AI RAG with Moorcheh.ai

Next, Join us for a deep dive into how DrPal.ai, a digital health companion, moved beyond generic LLM responses to build a trustworthy, verifiable medical AI assistant using Moorcheh.ai Vector Search and RAG (Retrieval Augmented Generation).

What we’ll cover:

Vector Search & Chunking Visualized: A clear, intuitive breakdown of embeddings and why "nearest neighbor" often misses the nuance in medical queries.
The DrPal.ai Use Case: How to architect a RAG pipeline that connects insurers, clinics, doctors, and patients with no hallucinations and in real-time.
Live Implementation: A code-first look at integrating Moorcheh.ai with modern stacks like LangChain and LlamaIndex to turn a generic model into a domain specialist.

Integration Links & Resources

Here is where developers can access Moorcheh.ai and its integrations:

GitHub (Official Repositories & SDKs): https://github.com/moorcheh-ai/moorcheh-python-sdk
Moorcheh-LangChain Integration: https://docs.langchain.com/oss/python/integrations/vectorstores/moorcheh
Moorcheh-LlamaIndex Integration: https://developers.llamaindex.ai/python/examples/vector_stores/moorchehdemo/
Moorcheh MCP Server: https://github.com/moorcheh-ai/moorcheh-mcp
Moorcheh-N8N Integration (Low-Code/No-Code), Official Verified Node: https://n8n.io/integrations/moorcheh/.

🗓️ 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