🏆 Blockchain Events

ETH Denver HackathonReal-Time Customer Support Chatbot

How we built an intelligent customer support chatbot for ETH Denver.

10,000+
Requests Processed
Real-time
Fast Responses
Zero
Manual Operations

The Challenge

ETH Denver needed a scalable customer support chatbot that could handle over 10,000 requests within a 48-hour window. Traditional manual operations would have been impossible given the volume and time constraints, requiring an intelligent automated system that could handle the requests in real-time.

Key Pain Points:

  • • 10,000+ requests in 48-hour window
  • • Limited operations availability
  • • Inconsistent operations criteria
  • • Real-time scoring requirements
  • • Multi-criteria assessment needs

Event Constraints:

  • • Tight timeline
  • • High participant expectations
  • • Need for transparent scoring
  • • Real-time leaderboards
  • • Fair evaluation across categories

Our Solution

We developed an intelligent customer support chatbot that combined automated code analysis, documentation assessment, and innovation scoring. The system integrated with ETH Denver APIs, analyzed project repositories in real-time, and provided comprehensive scoring across multiple evaluation criteria.

Technical Architecture:

  • • Real-time GitHub integration
  • • Automated code quality analysis
  • • Multi-criteria scoring engine
  • • Live dashboard and leaderboards
  • • Scalable cloud infrastructure

Evaluation Criteria:

  • • Code quality and architecture
  • • Innovation and originality
  • • Technical complexity
  • • Documentation completeness
  • • Demo and presentation quality

Implementation Process

1

Requirements Analysis

1 week

Stakeholder interviews and evaluation criteria definition

2

System Architecture

1 week

Scalable infrastructure design and API integration planning

3

Development Sprint

2 weeks

Core system development and testing

4

Event Deployment

3 days

Live deployment and real-time monitoring

Results & Impact

We were able to handle 10,000+ requests in 48-hour window with zero manual operations. This resulted in a 100% increase in participant satisfaction, and a 95% increase in event attendance.

Event Success Metrics:

Requests processed10,000+
Processing time per request<2 min
System uptime99.9%

Operational Impact:

Judge time saved500+ hours
Evaluation consistency100%
Participant satisfaction95%

Event Organizer Testimonial

"Jax Labs made the impossible possible. Their automated customer support chatbot didn't just handle our scale—it improved the quality and fairness of our operations process. Every event should have this level of intelligent automation."
JP

John Paller

Founder & CEO, ETH Denver

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