AI-Powered Networking Bot for Conference Attendees

Anastasia

Anastasia Kavzovich

Case Study: AI-Powered Networking Bot for Conference Attendees

Client Challenge: At a startup conference with 500+ attendees, the organizers wanted to enhance meaningful networking. Traditional formats led to missed opportunities between founders, investors, and industry experts.
My Solution: I developed an AI-powered networking bot that:
Collected attendee data via a short onboarding form (role, interests, current goals)
Used GPT to identify smart, value-based matches across the attendee list
Sent daily personalized intros via Telegram with short bios and suggested topics
Included a simple opt-in system to accept or skip matches
Impact:
75%+ engagement rate with the bot
Dozens of high-quality intros and post-event meetings
Created clear sponsor value and attendee satisfaction
Tools Used: Telegram Bot API + OpenAI API + Python + Supabase backend
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Posted Jun 15, 2025

Developed an AI-powered networking bot for a startup conference to enhance attendee networking.