PaveVision is an intelligent pavement monitoring platform that combines YOLOv8-based road distress detection with automated Pavement Condition Index (PCI) estimation. Built as a web application and validated on real CBIT campus roads through collaboration between AI and Civil Engineering domains.
This project uses 4 ML models to predict the usability of a water sample based on it's environmental conditions.
This project analyzes one year of real-world HTTP access logs from the University of Calgary’s computer science server. Using Python, pandas, and regular expressions, we clean and parse the data to extract meaningful insights and answer 10 analytical questions.
A tiny Rust crate to represent dates with varying precision
This article in the Syncfusion Blog explains The heighest paid female athletes in terms of total earnings in 2023 using .NET MAUI Stacked Bar Chart
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