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Concrete cracking is a major issue in Bridge Engineering. Detection of cracks facilitates the design, construction and maintenance of bridges effectively.

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Sanky18/L-T-EduTech-Hackathon-at-SHAASTRA-IITM

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L-T-EduTech-Hackathon-at-SHAASTRA-IITM

Final round ppt Submission:

https://drive.google.com/drive/folders/1gks5e0q5Y9pKerMmEG2eUgY4Fvuv-JGZ?usp=share_link

Judging Metrics:

Provide Precision, Recall and F1 score as Judging metrics are:

  1. Recall of the model is 1.00
  2. Precision of the model is 0.98
  3. F-Score is 0.99

Can you use Artificial Intelligence and Machine Learning to solve engineering problems with a direct impact on industry and society? Rise up to the challenge to win exciting prizes and showcase your skills to one of the largest multinational conglomerates!

Problem Domain:

AI Solutions for Industrial and Societal Problems

Problem Statement:

Description - Concrete cracking is a major issue in Bridge Engineering. Detection of cracks facilitates the design, construction and maintenance of bridges effectively.

Requirement Specification:

  1. Use open source dataset (From the link: https://cutt.ly/PS_1_dataset)
  2. Develop a suitable Deep Learning framework which can detect the crack in the image from the dataset
  3. Transfer Learning based DL framework would be appreciated

Recording Link:

  1. https://drive.google.com/file/d/1j14MNMJfNJIUptOsMsSzzJt-Hm9JtFMC/view?usp=sharing
  2. https://drive.google.com/uc?id=1j14MNMJfNJIUptOsMsSzzJt-Hm9JtFMC&export=download

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Concrete cracking is a major issue in Bridge Engineering. Detection of cracks facilitates the design, construction and maintenance of bridges effectively.

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