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Demonstrate on AI Travel Agent - an intelligent assistant that can read PDF guides, store them as embeddings, and answer user queries using Retrieval-Augmented Generation (RAG) techniques.
Agenda
Problem statement
Why GenAI used in this project?
Project Architecture
Python concepts used
GenAI concepts
Demo
Key learnings and best practices
Key takeaways
Best Practices
Common pitfalls
Power of Python with GenAI capabilities
What domain would you say your talk falls under?
Core Python
Duration (including Q&A)
20 minutes
Prerequisites and preparation
Basic knowledge is sufficient of Python and GenAI concepts.
First time speaker
16 years of experience in IT industry.
Availability
20/06/2026
Accessibility & special requirements
No response
Speaker checklist
I have read and understood the PyDelhi guidelines for submitting proposals and giving talks
I have read and acknowledged the PyDelhi accessibility guidelines and will ensure my presentation materials (slides, videos, demos) follow these recommendations
I will make my talk accessible to all attendees and will proactively ask for any accommodations or special requirements I might need
I agree to share slides, code snippets, and other materials used during the talk with the community
I will follow PyDelhi's Code of Conduct and maintain a welcoming, inclusive environment throughout my participation
I understand that PyDelhi meetups are community-centric events focused on learning, knowledge sharing, and networking, and I will respect this ethos by not using this platform for self-promotion or hiring pitches during my presentation, unless explicitly invited to do so by means of a sponsorship or similar arrangement
If the talk is recorded by the PyDelhi team, I grant permission to release the video on PyDelhi's YouTube channel under the CC-BY-4.0 license, or a different license of my choosing if I am specifying it in my proposal or with the materials I share
Talk title
earlier submitted for review: in April 2026 #405
Short talk description
earlier submitted for review: #405
Long talk description
earlier submitted for review: #405
AI_Travel_Assistant_Keynote_cutdown_version.pptx
Demonstrate on AI Travel Agent - an intelligent assistant that can read PDF guides, store them as embeddings, and answer user queries using Retrieval-Augmented Generation (RAG) techniques.
What format do you have in mind?
Talk (20-25 minutes + Q&A)
Talk outline / Agenda
earlier submitted for review: #405
Agenda
Problem statement
Why GenAI used in this project?
Project Architecture
Python concepts used
GenAI concepts
Demo
Key learnings and best practices
Key takeaways
Best Practices
Common pitfalls
Power of Python with GenAI capabilities
What domain would you say your talk falls under?
Core Python
Duration (including Q&A)
20 minutes
Prerequisites and preparation
Basic knowledge is sufficient of Python and GenAI concepts.
Resources and references
No response
Link to slides/demos (if available)
https://github.com/user-attachments/files/26972274/AI_Travel_Assistant_Keynote.pptx
Twitter/X handle (optional)
No response
LinkedIn profile (optional)
https://www.linkedin.com/in/rahul-girdhar2903/
Profile picture URL (optional)
No response
Speaker bio
First time speaker
16 years of experience in IT industry.
Availability
20/06/2026
Accessibility & special requirements
No response
Speaker checklist
Additional comments
No response