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GenAI AI Hackathon — Automotive & Manufacturing Use Cases

devpostHosted on Devpost

Fetched about 5 hours ago

Friday, June 19, 2026

to Friday, June 19, 2026

Artificial IntelligenceData ScienceCloud

Event Type

in person

8

Participants

0

Est. Projects

About the Event

Join us for a fast-paced, one-day in-person hackathon where you'll build real-world GenAI solutions for the automotive and manufacturing industries.

This hackathon is a joint initiative by Amazon Web Services, Redis, and Storm Reply — bringing together the power of AWS's AI/ML platform, Redis's real-time data capabilities, and Storm Reply's deep automotive cloud expertise. Together, we're creating a unique environment where automotive and manufacturing professionals can explore how Generative AI and Agentic AI can transform their industry — from the factory floor to the finished vehicle.

Why This Collaboration Matters
  • AWS provides the AI foundation: Amazon Bedrock for foundation model access, AgentCore for production-ready AI agents, and the cloud infrastructure to scale from prototype to production
  • Redis delivers the real-time data layer: sub-millisecond vector search, streaming data ingestion, and the speed that automotive and manufacturing workloads demand
  • Storm Reply brings industry expertise: as an AWS Premier Consulting Partner specializing in automotive cloud solutions, they bridge the gap between cutting-edge tech and real-world industry requirements
What You'll Build

Teams of 3–5 engineers, architects, and data scientists will prototype AI-powered solutions that solve real problems across the automotive and manufacturing value chain:

Factory Floor & Manufacturing

  • Real-time anomaly detection on production lines
  • LLM-powered operator assistants for troubleshooting
  • Quality & defect classification pipelines
  • Predictive maintenance and bottleneck analysis
Logistics & Operations
  • Fleet routing optimization
  • Supply chain anomaly prediction
  • Natural-language queries over live operational data
Inside the Vehicle
  • AI-powered in-car assistants
  • Context-aware infotainment personalisation
  • Driver profile-based recommendations

Benefits of Participation

🚀 Hands-on with cutting-edge AI — Get direct experience with Amazon Bedrock, AgentCore, Strands Agents SDK, and Redis real-time AI capabilities before they become mainstream in your industry

🏗️ Prototype a real use case in one day — Walk away with a working proof-of-concept that could become a real project at your company

🧠 Learn from industry experts — Direct access to AWS, Redis, and Storm Reply technical specialists throughout the event. Ask questions, get architecture advice, and explore new approaches

🤝 Network with peers — Meet fellow developers, architects, and data scientists from leading automotive and manufacturing companies across the DACH region

💡 No setup overhead — Pre-provisioned AWS accounts with all services ready to go. Just bring your laptop and ideas

🏆 Win prizes — Top team receives 10,000 Redis Cloud credits, AirPods, and swag for all participants

📄 Preparation Guide included — Registered participants receive a detailed PDF with architecture patterns, code examples, dataset suggestions, and setup instructions to arrive ready to build

Technology Stack

Everything is pre-provisioned — no setup required on your side:

Technology Role
Amazon Bedrock Foundation models
Amazon Bedrock AgentCore Production-ready AI agents with memory, tool use & orchestration
Strands Agents SDK Open-source framework for building AI agents
Redis Cloud Real-time data layer — vector search, streams, pub/sub, time-series
Kiro AI-powered IDE for vibe coding

Expert Speakers

  • Simba Khadder (Redis) — Redis's Agentic AI technical lead; Introduction to Redis for real-time AI cases
  • Aychin Gasimov (AWS) — Latest advancements in Agentic services on AWS

Storm Reply automotive cloud experts will mentor teams throughout the day.

Agenda

Time Activity
9:00 – 9:15 Arrival & quick bites
9:15 – 9:30 Overview of the day
9:30 – 10:00 Introduction to Redis for real-time AI (Simba Khadder)
10:00 – 10:30 Agentic AI on AWS (Aychin Gasimov)
10:30 – 4:00 PM Team building session with working lunch
4:00 – 4:30 PM Team presentations
4:30 – 5:00 PM Judging & awards

Prizes 🏆

  • 🥇 10,000 Redis Cloud credits for the winning team
  • 🎧 AirPods for each member of the winning team
  • 🎁 Swag for all participants

Judging Criteria

  • Innovation & originality — Does the idea feel fresh?
  • Real-time data usage — Is Redis powering live data flows?
  • Clear business value — Who benefits, and why does it matter?
  • AI + cloud architecture — Thoughtful use of Bedrock, AgentCore, and Redis together
  • Working demo — A compelling prototype, not just slides

Sponsors

AWS image

AWS

aws.amazon.com

REPLY image

REPLY

www.reply.com

Redis image

Redis

redis.io

Judge Accessibility

Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10

Top signals

Organizer email available
Student-run event
Actively looking for judges

Organizers

Alex Johnson

alex@example.org

Jamie Rivera

jamie@example.org

Sam Chen

sam@example.org

Estimated Audience

Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech

Technical Focus

AI95%
Web80%
Mobile25%

Industries

Healthcare
Education
Climate

Technologies

Python
React
OpenAI

Why this estimate

  • • Hosted by a university
  • • Open to students
  • • MLH member event

Estimate inferred from event metadata, not actual attendee data.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct