Traffic Sign Recognition System using Convolutional Neural Networks

Recognises and classifies traffic signs from live camera footage using a CNN trained on the GTSRB dataset, intended as a driver-assistance alert module.

Project code
AUX-MLR-1910
Domain
Machine Learning
Type
Software project
Level · Year
Beginner · 2024-25

Technologies and components

CNNTensorFlowPythonGTSRB Dataset

What is included

  • Complete source code
  • Database / dataset and setup guide
  • Project report (college format)
  • PPT for review and viva
  • Installation and demo support
  • Viva question guidance

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Frequently asked questions

Can I get the Traffic Sign Recognition System using Convolutional Neural Networks project for my final year?

Yes. This project (code AUX-MLR-1910) is available as a software project kit for the 2024-25 academic year. Contact us on WhatsApp to request it.

Can this project be customised?

Yes. Features, technology and documentation can be modified to suit your guide and college requirements.

Which departments is this project suitable for?

CSE, IT, AI & DS, BCA and MCA students, and ECE students interested in software.

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