EcoRoute AI

• 

  EcoRoute AI - Smart logistics and carbon-reduction routing platform logo.

Inspiration

The inspiration behind EcoRoute AI stems from witnessing the growing inefficiency and environmental impact of last-mile delivery and global supply chains. With the explosion of e-commerce, urban congestion and carbon emissions have reached critical levels. Traditional routing systems often fail to account for real-time variables like traffic, weather, and specific vehicle constraints, leading to unnecessary fuel waste.

What it does

EcoRoute AI is an autonomous, AI-powered routing and logistics optimization platform. Using advanced AI coding agents, we have built a system that ingests live traffic data, vehicle telemetry, and delivery requirements to calculate the most efficient delivery paths, prioritizing routes that reduce total distance traveled and urban emissions.

How we built it

We developed EcoRoute AI by leveraging modern AI coding assistants, specifically utilizing the Devpost Learn Skill Pack as mandated by the hackathon rules. The planning process was streamlined using the generated scope.md, prd.md, and spec.md files.

Challenges we ran into

The primary challenge was integrating real-time traffic data with the geospatial optimization model without creating high latency, which we overcame by refining our heuristic algorithms.

What we learned

This project deepened our understanding of geospatial data processing and the practical implementation of AI agents in system architecture.

What's next for EcoRoute AI

Scaling the platform to handle larger fleet sizes and incorporating real-time weather and traffic variables.

Built With

• ai-agents
• fastapi
• llm
• logistics
• openstreetmap
• optimization
• python