= ''City''OS =


=== Project Information

=== Documentation

=== Weekly Progress
'''Week 1''' //
* Met with Dr. Ortiz to define project scope. //
* Began researching and learning about data regression models.//
* Reading documentation on similar works.//

'''Week 2''' //
* Drafted the detailed system design document.//
* Obtained video feed of the parking lot and applied YOLOv8 for object detection.//
* Outlined the system architecture, including the Data Logger, ML Model Trainer, and Prediction API.//

'''Week 3''' //
* Implemented and tested three initial ML models: Linear Regression, Naive Bayes, and Gradient Boosting.//
* Achieved initial prediction results on sample data.//
* Began learning about Decision Tree and Random Forest algorithms for future implementation.//

'''Week 4''' //
* Implemented and tested Decision Tree and Random Forest ML models.//
* Created the website, which holds documentation and the web app.//
* Continued with data collection and aggregation for ML models.//

'''Week 5''' //
* Created and filled the design documentation section of the website.//
* Designed a mock-up layout of the web app with components.//
* Collected and imported more data, as well as correcting some overfitting with the model//
* Ran RandomCV and GridsearchCV across multiple folds for optimization and cross-validation//
* Generated occupancy histograms per day to visualize trends in each lot//

'''Week 6''' //
* Created 3D model assets of vehicles for the web app.//
* Generated occupancy graphs from the machine learning model.//
* Continued collecting more data to train the model.//

'''Week 7''' //
* Implemented a finished rough layout of the parking web app and connected it to the website.//
* Analyzed graphs outputted by the Random Forest's prediction and the actual camera detection of that day.//
* Conceptualized an expansion of the project utilizing more of the parking lot, which requires a new detection model not based on bounding boxes or points.//

'''Week 8''' //
* //
* //
* //

'''Week 9''' //
* //
* //
* //

'''Week 10''' //
* //
* //
* //

=== Other Information