Crack detection ai system paarthipa kamlesh#1985
Open
Paarthipa wants to merge 843 commits into
Open
Conversation
…dathoang DATA SCIENCE - Traffic Congestion Prediction System Based Traffic Count and Crash Data - 100% Complete
…ect_22_master DATA SCIENCE | Project 22: Parking Utilisation and Management | 100% Completion | READY TO PUBLISH
…rt-1883-Road_Crack_Detection_Team Revert "Project 6 Road crack detection team merging into main "
…nya_UC00204_publish_v2-1 Create UC00204_Resilient_Education_Access folder under T2
…li1-patch-7 UC00202_Teacher_Workforce_Planning
Added notebook, HTML, JSON, and README files.
…l-MOP-AI-IoT Abdul mop ai io t
…n-MOP-AI-IoT Devin-HealthBehaviour-UseCase8-Add-Files
…eiy-patch-1 Vehicle parking classification Using CV open
…_WD_CI/CD_DanishKumar_WebApp_Docker_Deployment PR#6_WD_CI/CD_DanishKumar_WebApp_Docker_Deployment
…429271-Nauman-Abid Update: more fixes and improvements to project files
…huSatharasinghe-patch-2 Create UC00164_Impact of Greenhouse Gas Emissions
… (Project 19) - Added comprehensive README.md with project documentation - Added Jupyter notebook PDF export - Added HTML version for web viewing - Added JSON file for data interchange - Project: Urban Planning and Development usecase - Student: Kennedy Ebegbulem (s223739628) - Trimester: T1 2026
… and Compliance Risk Mapping for Melbourne CBD.
…ect-22A Project 22A: Smart Parking Availability Prediction and Compliance Risk Mapping — Final Submission
…r_opportunity_mapping Solar opportunity mapping
…dathoang DATA SCIENCE - Traffic Congestion Prediction System Based Traffic Count and Crash Data - 100% Complete
Add UC00217 To Ready To Publish
Added in the correct folder, deleted from Education_and_Research
…h-Sharma Artificial Intelligence | UC00239_Spatiotemporal_Ride-hailing_Prediction_System | 100% Complete
…026/T1/UC00206_School_enrolment_trends directory Moved to correct folder Education_and_Teaching
Add SIT764 Capstone Project - Urban Infrastructure Demand Forecasting…
…And_Weather.ipynb Removed use case number from the notebook
…anshu_Cauleechurn DATA SCIENCE - UC00220 Traffic Congestion Prediction - 100% Complete
…prasath Adding final project-UC00230_Urban_Flood_Risk_Prediction_Using_Spatiotemopral_Deep_Learning
…nd_T1 Data Science - UC00206 - Final files for READY TO PUBLISH folder
Author
|
@molliefernandez |
molliefernandez-mentor
requested changes
May 31, 2026
Contributor
molliefernandez-mentor
left a comment
There was a problem hiding this comment.
Please create a new PR to upload your work, this PR is the one that deleted the whole datascience folder last time and needed to be reverted.
Please close this PR and raise a new one with your file changes.
Author
|
Hi Mollie, thank you for the feedback. Just to clarify, we did not delete the playground/datascience folder. That deletion was from another team’s PR/changes, not ours. |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Overview
This pull request introduces a complete AI-based Crack Detection System for infrastructure analysis, focusing on detecting cracks in roads and bridges using computer vision and machine learning techniques.
Key Features
Components Included
cv_module/– crack detection logicllm_module/– chatbot integrationdocuments/raw_documents/– engineering PDFsdocuments/processed_documents/– extracted markdown filesprocess_documents.py– PDF → Markdown pipelinenotebook/crack_detection_pipeline.ipynb– workflow and analysistest_case_images/– sample inputs for validationTesting / Validation
Objective
To develop an intelligent system that automates crack detection and provides meaningful insights for infrastructure inspection and maintenance.
Notes