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UID:pretalx-pyladiescon-2025-QQDM7H@pretalx.com
DTSTART:20251206T114500Z
DTEND:20251206T120500Z
DESCRIPTION:Ever spent 40 minutes choosing a movie\, only to rewatch someth
 ing you didn’t even love?\n\nIn this talk\, I’ll share how I built Mov
 ie Groovy\, a Python-based app that recommends movies based on how you fee
 l. I’ll walk through how I used tools like FastAPI\, Qdrant\, Gemini (an
 d some more) to create emotionally-aware suggestions\, combining filtering
  logic\, a lightweight Retrieval-Augmented Generation (RAG) approach\, and
  an agentic flow that guides users step-by-step through their choices\, fo
 r a more personalized experience.\n\nMore than the stack\, we’ll explore
  why empathy matters in AI\, how user feedback shaped the design\, and how
  you can build meaningful tools using open-source solutions\, even as a so
 lo dev.\n\nIf you’re into Python\, curious about AI beyond the hype\, or
  just want to build things that feel more human\, this talk is for you.
DTSTAMP:20260721T051558Z
LOCATION:Main Stream
SUMMARY:Movie Groovy: Building a Mood-Based Recommender with Python and Emp
 athy - Vassiliki Dalakiari
URL:https://pretalx.com/pyladiescon-2025/talk/QQDM7H/
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