TrafficFlow AI

Python

NextJS

YOLOv10

TeamWork

Developed during the HackBCN hackathon, this project is a vehicle radar that detects traffic jams and analyzes real-time data using the YOLOv10 model.

Scenario

This project was developed during the HackBCN event, where we had only 30 hours to create an AI-based solution with a team of 3 members.

Main Problem

The main challenge was the limited time available. Since I had not worked on any AI projects before this hackathon, it was quite challenging to learn how to develop this type of project.

Project Goals

  • Learn to handle the pressure of tight deadlines
  • Learn how to integrate AI into a project

My Role

My main role was to implement the YOLOv10 model to detect the number of cars in a predefined area. I was also responsible for creating the frontend client to showcase our work.