Event 3

Event Report: AWS AI Hackathon Project Showcase

Purpose of the Event

  • Showcase AI-powered solutions developed during the AWS AI Hackathon.
  • Demonstrate how AWS services can be integrated with Artificial Intelligence to solve real-world business problems.
  • Share practical experiences in designing, developing, and deploying AI Agent applications.
  • Introduce modern AWS services such as Amazon Bedrock, AWS Lambda, Amplify, and other cloud-native technologies.
  • Inspire students to apply AI Engineering concepts and cloud technologies in future projects.

Speakers

Team One

  • Tran Dong
  • Doan Trung
  • Manh Viet

Team Two

  • Hoang Hieu
  • Quoc Hao
  • Minh Quan
  • Cong Minh
  • Tri Khiem
  • Tuan Luc

Team Three

  • Pham Tien Thuan Phat
  • Huynh Hoang Long
  • Le Minh Nghia
  • Tran Dai Vi
  • Nguyen An

Team 3KA

  • Huynh An Khuong
  • Nguyen Quoc Huy
  • Ngo Quang Khoi
  • Hoang Le Thanh Duc
  • Dang Nguyen Phuoc Loc
  • Dang Truong Hung

Team Four – Six Pillars Team

  • Bui Hoang Viet
  • Nguyen Lam Anh
  • Nguyen Van Linh
  • Nguyen Canh Nguyen
  • Nguyen Minh Nhat
  • Tran Phuong Huyen

Key Topics

AI-Powered Conversational Ordering

Team One introduced an AI Agent that enables customers to order food directly through messaging applications such as Zalo and WhatsApp.

Key highlights:

  • Multi-channel conversational ordering using Channel Adapter architecture.
  • Natural conversation experience without requiring users to install additional applications.
  • Workflow including Input, Normalize, Agent Core, and Response generation.
  • Dashboard for conversation management and monitoring.
  • Scalable architecture that can easily support different messaging platforms or business models.

AI Agent for Enterprise Strategy Intelligence

Team Two presented an AI Agent platform that gathers and analyzes enterprise strategic information from multiple sources.

Key highlights:

  • Collecting financial reports and business documents automatically.
  • Visualization dashboard for strategy and risk management teams.
  • React Dashboard deployed on AWS Amplify.
  • AWS Lambda coordinating multiple AI sub-agents using Agent-to-Agent (A2A) communication.
  • Amazon Bedrock used for session memory and context management.

Solution Architect Professional Native App

Team Three introduced an AI application designed to assist Solution Architects.

Key highlights:

  • Converting natural language requirements into AWS architecture designs.
  • Automatically generating Draw.io architecture diagrams.
  • Producing infrastructure cost estimations.
  • Generating Infrastructure as Code (CloudFormation or Terraform).
  • Demonstrating the importance of AI Engineering, including workflow management, context handling, and memory management.

Hackathon Journey

Team 3KA shared their experiences throughout the hackathon.

Key highlights:

  • Challenges of building a complete solution within one day.
  • Learning AWS and Cloud technologies under time pressure.
  • Importance of teamwork and communication.
  • Value of practical experience over competition results.
  • Encouragement to continuously learn and improve technical skills.

Adaptive AML Workflow Engine

The Six Pillars Team presented an AI-powered Anti-Money Laundering workflow system.

Key highlights:

  • Using Machine Learning models to score suspicious transactions.
  • AI Agents automatically investigating suspicious financial activities.
  • Decision support for Hold, Dismiss, or Escalate actions.
  • Amazon Bedrock Agent coordinating multiple sub-agents.
  • Guardrails and cross-validation between AI agents to reduce hallucinations.
  • Security implemented through AWS IAM, AWS KMS, and AWS Secrets Manager.

What I Learned

Technical Knowledge

  • Learned how AI Agents can automate customer interactions across multiple communication platforms.
  • Understood how Agent-to-Agent communication improves collaboration between AI components.
  • Learned how Amazon Bedrock supports context management and AI workflow orchestration.
  • Gained insights into AI Engineering, including workflow design, memory management, and context handling.
  • Explored practical applications of AI Agents in business strategy, solution architecture, and financial risk analysis.

Skills and Mindset

  • Recognized that solving real business problems is more important than simply using advanced AI models.
  • Learned the importance of designing scalable and flexible cloud architectures.
  • Understood that teamwork and effective communication are essential during software development.
  • Realized that continuous experimentation and hands-on implementation are critical for learning AI and AWS technologies.

Applications to My Studies and Future Work

  • Explore Amazon Bedrock and AI Agent development on AWS.
  • Practice building serverless applications using AWS Lambda.
  • Learn more about AI workflow orchestration and multi-agent systems.
  • Apply cloud architecture design principles to future academic projects.
  • Continue improving AWS and AI Engineering skills for future career opportunities.

Event Experience

This event introduced many innovative AI-powered solutions that addressed practical business challenges through AWS cloud services. Each team demonstrated different applications of AI Agents, ranging from conversational ordering systems and enterprise intelligence platforms to automated solution architecture and financial risk analysis.

Besides learning about the technical implementation, I was impressed by the teams’ problem-solving approaches, architectural design decisions, and collaboration throughout the hackathon. The speakers emphasized that successful AI applications depend not only on powerful language models but also on well-designed workflows, context management, security, and teamwork.

Some Photos from the Event

Event Photo

Overall, the AWS AI Hackathon Project Showcase provided valuable insights into AI Engineering, AWS cloud services, and practical software development. The event inspired me to continue exploring AI Agents and applying cloud technologies to solve real-world problems.