NovaCore

Inspiration

We wanted to build an AI agent that doesn’t just answer questions but acts in real time. Inspired by crisis response and global challenges, we aimed to create a tool that makes faster, smarter decisions.

What it does

NovaCore ingests live data, analyzes patterns with AI, and delivers clear, actionable insights. It works across domains—disaster response, healthcare, or resource optimization—turning chaos into clarity.

How we built it

AWS Bedrock for reasoning and LLM power

Amazon Kendra for knowledge retrieval

AWS IoT Core for real-time data streams

Lambda + DynamoDB for scalable backend

A lightweight dashboard for decision support

Challenges

Integrating multiple AWS services quickly

Handling diverse, real-time data streams

Ensuring trust and transparency in outputs

Accomplishments

Built a working autonomous agent in hackathon time

Delivered real-time decision support with IoT + AI

Designed a scalable solution beyond one use case

What we learned

Orchestrating AWS AI/ML services effectively

Importance of data quality in AI decisions

Communicating AI solutions simply and clearly

What’s next for NovaCore

Target use cases in healthcare, disaster relief, and smart cities

Add explainability and transparency features

Explore multi-agent collaboration at global scale

Built With

• amazon-web-services
• python
• react.js