Traffic Sign detection for visually impaired people

[aaradhyasinghgaur]

Is your feature request related to a problem? Please describe.
for visually impaired people the most common problem is to be able to cross or walk on roads by themselves . for them to be able to do all these things I want to implemet detection dl model for traffic signs for road-safety.

Describe the solution you'd like

• I'd like to implement various different (CNN / RNN) pre-trained models such as (Xception , VGG16 etc.) using tranfer learning for the dataset and analyse which one has a better accuracy for traffic sign recognition.
• I'll also perform data analysis on the mentioned dataset
• Compare all the models for their accuracy scores using accuracy score , graph etc.
• I will use 3 deep learning models
• Tools I'll use :- Numpy , keras , matplotlib , scikit-learn etc.
  Dataset :- https://www.kaggle.com/datasets/ahemateja19bec1025/traffic-sign-dataset-classification

Describe alternatives you've considered
A clear and concise description of any alternative solutions or features you've considered.

Additional context
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GSSOC - 2024 Contributor .
@TAHIR0110 @Atharv714 kindly assign me this issue

[github-actions]

Hi there! Thanks for opening this issue. We appreciate your contribution to this open-source project. We aim to respond or assign your issue as soon as possible.

[TAHIR0110]

@kyra-09 assigned! I would suggest to explore more datasets.

[AnoushkaIshi]

Can I work on this ?